Category Archives: Rants

Phil 12.2.18

This is a story about information at rest and information in motion. Actually, it’s really just a story about information in  motion, mediated by computers. Information at rest is pretty predictable. Go pick up an actual, physical, book. Alone, it’s not going to do much. But it is full of information. It’s your job to put it in motion. The right kind of motion can change the world. The thing is, that change, be it the creation of a political movement, or the discovery of a new field of study, is oddly physical. Out terms that describe it (field, movement) are physical. They have weight, and inertia. But that is a property us us — human beings — evolved meat machines that interact with information using mechanisms evolved over millennia to deal with physical interactions. Information in motion isn’t physical.  But we aren’t equipped to deal with that intuitively. The machines that we have built to manipulate information are. And though they are stunningly effective in this, they do not share our physics-based biases about how to interpret the world.

And that may lead to some ugly surprises.

The laws of physics don’t apply in information space.

Actually, we rarely deal with information. We deal in belief, which is the subset of information that we have opinions about. We don’t care how flat a table is as long as it’s flat enough. But we care a lot about the design of the dining room table that we’re putting in our dining room.

In this belief space, we interpret information using a brain that is evolved based on the behavior of the physical world. That’s a possible reason that we have so many movement terms for describing belief behavior. It is unlikely that we could develop any other intuition, given the brief time that there has even been a concept of information.

There are also some benefits to treating belief as if it has physical properties. It affords group coordination. Beliefs that change gradually can be aligned easier (dimension reduction), allowing groups to reach consensus and compromise. This combined with our need for novelty creates somewhat manageable trajectories. Much of the way that we communicate depends on this linearity. Spoken and written language are linear constructs. Sequential structures like stories contain both information and the order of delivery. Only the sequence differs in music. The notes are the same.

But belief merely creates the illusion that information has qualities like weight. Although the neurons in our brain are slower than solid-state circuits, the electrochemical network that they build is capable of behaving in far less linear and inertial ways. Mental illness can be regarded as a state where the brain network is misbehaving. It can be underdamped, leading to racing thoughts or overdamped manifesting as depression. It can have runaway resonances, as with seizures. In these cases, the functioning of the brain no longer maps successfully to the external, physical environment. There seems to be an evolutionary sweet spot where enough intelligence to model and predict possible outcomes is useful. Functional intelligence appears to be a saddle point, surrounded by regions of instability and stasis.

Computers, which have not evolved under these rules treat information very differently. They are stable in their function as sets of transistors. But the instructions that those transistors execute, the network of action and information is not so well defined. For example, computers can access all information simultaneously. This is one of the qualities of computers that makes them so effective at search. But this capability leads to deeply connected systems with complicated implications that we tend to mask with interfaces that we, the users, find intuitive.

For example, it is possible to add the illusion of physical properties to information. In simulation we model masses, springs and dampers to create sophisticated representations of real-world behaviors. But simply because these systems mimic their real-world counterpart, doesn’t mean that they have these intrinsic propertiesConsider the simulation of a set of masses and springs below:

Springs

Depending on the solver (physics algorithm), damping, and stiffness, the system will behave in a believable way. Choose the Euler solver, turn down the damping and wind up the stiffness and the systems becomes unstable, or explodes:

Springs2

The computer, of course, doesn’t know the difference. It can detect instability only if we program or train is specifically to do so. This is not just true in simulations for physical systems, but also training-based systems like neural networks (gradient descent) and genetic algorithms (mutation rate). In all these cases, systems can converge or explode based on the algorithms used and the hyperparameters that configure them.

This is the core of an implicit user interface problem. The more we make our intelligent machines so that they appear to be navigating in belief spaces, the more we will be able to work productively with them in intuitive ways. Rather than describing carefully what we want them to do (either with programming or massive training sets), we will be able to negotiate with them, and arrive at consensus or compromise. The fundamental problem is that this is a facade that does not reflect the underlying hardware. Because no design is perfect, and accidents are inevitable, I think that it is impossible to design systems that will not “explode” in reaction to unpredictable combinations if inputs.

But I think that we can reduce the risks. If we legislate an environment that requires a minimum level of diversity in these systems, from software design through training data,  to hardware platform, we can increase the likelihood that when a nonlinear accident happens it will only happen in one of several loosely coupled systems. The question of design is a socio-cultural one that consists of several elements:

  1. How will these systems communicate that guarantees loose coupling?
  2. What is the minimum number of systems that should be permitted, and under what contexts?
  3. What is the maximum “size” of a single system?

By addressing these issues early, in technical and legislative venues, we have an opportunity to create a resilient socio-technical ecosystem, where novel interactions of humans and machines can create new capabilities and opportunities, but also a resilient environment that is fundamentally resistant to catastrophe.

Phil 12.1.18

Trying to think about how intelligence at an individual level is different from intelligence at a population level. At an individual level, the question is how much computation to spend in the presence of imperfect / incomplete information. Does it make sense to be an unquestioning acolite? Follow fashion? Go your own way? These define a spectrum from lowest to highest amount of computation. A population that is evolving over time works with different demands. There is little or no sense of social coordination at a population’s genetic level (though there is coevolution). It seems to me that it is more a question of how to allocate traits in the population in such a way that optimises the duration that the genetic pattern that defines the population. The whole population needs a level of diversity. Clone populations (Aspens, etc) fail quickly. Gene exchange increases the likelihood of survival, even though it is costly. Similarly, explore/exploit and other social traits may be distributed unevenly so that there are always nomadic individuals that move through the larger ecosystem, producing a diaspora that a population can use to recover from a disaster that decimates the main population centers. Genes probably don’t “care” if these nomads are outcasts or willing explorers, but the explorers will be probably be better equipped to survive and create a new population, perpetuating the “explorer” genes at some level in the larger genome, at least within some time horizon where there is a genetic, adaptive “memory” of catastrophe.

Phil 10.31.18

7:00 – ASRC PhD

  • Read this carefully today: Introducing AdaNet: Fast and Flexible AutoML with Learning Guarantees
    • Today, we’re excited to share AdaNet, a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention. AdaNet builds on our recent reinforcement learning and evolutionary-based AutoML efforts to be fast and flexible while providing learning guarantees. Importantly, AdaNet provides a general framework for not only learning a neural network architecture, but also for learning to ensemble to obtain even better models.
    • What about data from simulation?
    • Github repo
    • This looks like it’s based deeply the cloud AI and Machine Learning products, including cloud-based hyperparameter tuning.
    • Time series prediction is here as well, though treated in a more BigQuery manner
      • In this blog post we show how to build a forecast-generating model using TensorFlow’s DNNRegressor class. The objective of the model is the following: Given FX rates in the last 10 minutes, predict FX rate one minute later.
    • Text generation:
      • Cloud poetry: training and hyperparameter tuning custom text models on Cloud ML Engine
        • Let’s say we want to train a machine learning model to complete poems. Given one line of verse, the model should generate the next line. This is a hard problem—poetry is a sophisticated form of composition and wordplay. It seems harder than translation because there is no one-to-one relationship between the input (first line of a poem) and the output (the second line of the poem). It is somewhat similar to a model that provides answers to questions, except that we’re asking the model to be a lot more creative.
      • Codelab: Google Developers Codelabs provide a guided, tutorial, hands-on coding experience. Most codelabs will step you through the process of building a small application, or adding a new feature to an existing application. They cover a wide range of topics such as Android Wear, Google Compute Engine, Project Tango, and Google APIs on iOS.
        Codelab tools on GitHub

  • Add the Range and Length section in my notes to the DARPA measurement section. Done. I need to start putting together the dissertation using these parts
  • Read Open Source, Open Science, and the Replication Crisis in HCI. Broadly, it seems true, but trying to piggyback on GitHub seems like a shallow solution that repurposes something for coding – an ephemeral activity, to science, which is archival for a reason. Thought needs to be given to an integrated (collection, raw data, cleaned data, analysis, raw results, paper (with reviews?), slides, and possibly a recording of the talk with questions. What would it take to make this work across all science, from critical ethnographies to particle physics? How will it be accessible in 100 years? 500? 1,000? This is very much an HCI problem. It is about designing a useful socio-cultural interface. Some really good questions would be “how do we use our HCI tools to solve this problem?”, and, “does this point out the need for new/different tools?”.
  • NASA AIMS meeting. Demo in 2 weeks. AIMS is “time series prediction”, A2P is “unstructured data”. Proove that we can actually do ML, as opposed to saying things.
    • How about cross-point correlation? Could show in a sim?
    • Meeting on Friday with a package
    • We’ve solved A, here’s the vision for B – Z and a roadmap. JPSS is a near-term customer (JPSS Data)
    • Getting actionable intelligence from the system logs
    • Application portfolios for machine learning
    • Umbrella of capabilities for Rich Burns
    • New architectural framework for TTNC
    • Complete situational awareness. Access to commands and sensor streams
    • Software Engineering Division/Code 580
    • A2P as a toolbox, but needs to have NASA-relevant analytic capabilities
    • GMSEC overview

Phil 10.8.18

7:00 – 12:00, 2:00 – 5:00 ASRC Research

  • Finish up At Home in the Universe notes – done!
  • Get started on framing out Antonio’s paper – good progress!
    • Basically, Aaron and I think there is a spectrum of interaction that can occur in these systems. At one end is some kind of market, where communication is mediated through price, time, and convenience to the transportation user. At the other is a more top down, control system way of dealing with this. NIST RCS would be an example of this. In between these two extremes are control hierarchies that in turn interact through markets
  • Wrote up some early thoughts on how simulation and machine learning can be a thinking fast and slow solution to understandable AI

Phil 9.20.18

7:00 – 5:00 ASRC MKT

  • Submit pre-approval for school – done!
  • Call bank – done!
  • Tried to do stuff on the Lufthansa site but couldn’t log in
  • Read through the USPTO RFI and realized it was a good fit for the Research Browser. Sent the RB white paper to those in the decision loop.
  • Updated the JuryRoom white paper to include an appendix on self-governance and handling hate speech, etc.
  • Introducing Cloud Inference API: uncover insights from large scale, typed time-series data
    • Today, we’re announcing the Cloud Inference API to address this need. Cloud Inference API is a simple, highly efficient and scalable system that makes it easier for businesses and developers to quickly gather insights from typed time series datasets. It’s fully integrated with Google Cloud Storage and can handle datasets as large as tens of billions of event records. If you store any time series data in Cloud Storage, you can use the Cloud Inference API to begin generating predictions.
    • Thread by Jeff Dean
  • Realized that there are additional matrices that can post-multiply the Laplacian. That way we can break down the individual components that contribute to “stiffness”. The reason for this is that only identical oscillators will synchronize. Similarity is a type of implicit coordination
    • Leave the Master matrix [M]: as degree on the diagonal, with “1” for a connection, “0” for no connection
    • =Bandwidth matrix [B]: has a value (0, 1) for each connection
    • Alignment matrix [A]: calculates the direction cosine between each connected node. Completely aligned nodes get an edge value of 1.0
    • There can also be a Weight vector W: which contains the “mass” of the node. A high mass node will be more influential in the network.
  • Had a few thoughts about JuryRoom self governance. The major social networks seem to be a mess with respect to what rights users have, and what constitutes a violation of terms of service. The solutions seem pretty brittle (Radiolab podcast on facebook rule making). JuryRoom has built in a mechanism for deliberation. Can that be used to create an online legal framework for crowdsourcing the rules and the interpretation? Roughly, I think that this requires the following:
    • A constitution – a simple document that lays out how JuryRoom will be goverened.
    • A bill of rights. What are users entitled to?
    • The concept of petition, trial, binding decisions, and precedent.
    • Is there a concept of testifying under oath?
    • The addition of “evidence” attachments that can be linked to posts. This could be existing documents, commissioned expert opinion, etc.
    • A special location for the “legal decisions”. These will become the basis for the precedent in future deliberations. Links to these prior decisions are done as attachments? Or as something else?
    • Localization. Since what is acceptable (within the bounds of the constitution and the bill of rights) changes as a function of culture, there needs to be a way that groups can split off from the main group to construct and use their own legal history. Voting/membership may need to be a part of this.
      • What is visible to non-members?
      • What are the requirements to be a member?
      • How are legal decisions implemented in software?
      • What are the duties of a “citizen”?
  • More iConf paper
  • I wanted to make figures align on the bottom. Turns out that the way that you do this is to set top alignment [t] for each minipage. Here’s my example:
    \begin{figure}[h]
    	\centering
    	\begin{minipage}[t]{.5\textwidth}
    		\centering
    		\fbox{\includegraphics[width=20em]{Nomad-Flocking-Stampede2.png}}
    		\caption{\label{fig:N-F-S} Evolved systems}
    	\end{minipage}%
    	\begin{minipage}[t]{.5\textwidth}
    		\centering
    		\fbox{\includegraphics[width=20em]{Nomad-Stampede.png}}
    		\caption{\label{fig:Monolithic_complex_nomad} Designed systems}
    	\end{minipage}%
    \end{figure}

     

Phil 7.1.18

On vacation, but oddly enough, I’m back on my morning schedule, so here I am in Bormio, Italy at 4:30 am.

I forgot my HDMI adaptor for the laptop. Need to order one and have it delivered to Zurich – Hmmm. Can’t seem to get it delivered from Amazon to a hotel. Will have to buy in Zurich

Need to add Gamerfate to the lit review timeline to show where I started to get interested in the problem – tried it but didn’t like it. I’d have to redo the timeline and I’m not sure I have the excel file

Add vacation pictures to slides – done!

Some random thoughts

  • When using the belief space example of the table, note that if we sum up all the discussions about tables, we would be able to build a pretty god map of what matters to people with regards to tables
  • Manifold learning is what intelligent systems do as a way of determining relationships between things (see curse of dimensionality). As groups of individuals, we need to coordinate our manifold learning activities so that we can us the power of group cognition. When looking at how manifold learning schemes like t-sne and particularly embedding systems such as word2vec create their own unique embeddings, it becomes clear that our machines are not yet engaged in group cognition, except in the simplest way of re-using trained networks and copied hyperparameters. This is very prone to stampedes
  • In conversation at dinner, Mike M mentioned that he’d like a language app that is able to indicate the centrality of a term an order that list so that it’s possible to learn a language in a “prioritized” way that can be context-dependent. I think that LMN with a few tweaks could do that.

Continuing the Evolution of Cooperation. A thing that strikes me is that once a TIT FOR TAT successfully takes over, then it becomes computationally easier to ALWAYS COOPERATE. That could evolve to become dominant and be completely vulnerable to ALWAYS DEFECT

Phil 3.21.18

7:00 – 6:00 ASRC MKT, with some breaks for shovelling

  • First day of spring. Snow on the ground and more in the forecast.
  • I’ve been thinking of ways to describe the differences between information visualizations with respect to maps. Here’s The Odyssey as a geographic map:
  • Odysseus'_Journey
  • The first thing that I notice is just how far Odysseus travelled. That’s about half of the Mediterranean! I thought that it all happened close to Greece. Maps afford this understanding. They are diagrams that support the plotting of trajectories.Which brings me to the point that we lose a lot of information about relationships in narratives. That’s not their point. This doesn’t mean that non-map diagrams don’t help sometimes. Here’s a chart of the characters and their relationships in the Odyssey:
  •  odyssey
  • There is a lot of information here that is helpful. And this I do remember and understood from reading the book. Stories are good about depicting how people interact. But though this chart shows relationships, the layout does not really support navigation. For example, the gods are all related by blood and can pretty much contact each other at will. This chart would have Poseidon accessing Aeolus and  Circe by going through Odysseus.  So this chart is not a map.
  • Lastly, is the relationship that comes at us through search. Because the implicit geographic information about the Odyssey is not specifically in the text, a search request within the corpora cannot produce a result that lets us integrate it
  • OdysseySearchJourney
  • There is a lot of ambiguity in this result, which is similar to other searches that I tried which included travel, sail and other descriptive terms. This doesn’t mean that it’s bad, it just shows how search does not handle context well. It’s not designed to. It’s designed around precision and recall. Context requires a deeper understanding about meaning, and even such recent innovations such as sharded views with cards, single answers, and pro/con results only skim the surface of providing situationally appropriate, meaningful context.
  • Ok, back to tensorflow. Need to update my computer first….
    • Updating python to 64-bit – done
    • Installing Visual Studio – sloooooooooooooooooooooowwwwwwwwwwwww. Done
    • Updating graphics drivers – done
    • Updating tensorflow
    • Updating numpy with intel math
  • At the Validation section in the TF crash course. Good progress. drilling down into all the parts of python that I’ve forgotten. And I got to make a pretty picture: TF_crash_course1

Phil 2.15.18

ASRC MKT 7:00 – 8:00

  • Taking most of the day off, but spent the early morning tweaking the CI 2018 paper and sending it out to the Fika writing group
  • We have discussions, but we do not have discussions about the axis that we are choosing to decide along

Sent this to my representative:

Dear Rep. Cummings,

I would like to suggest a simple piece of legislation that may begin to address gun violence.

“For every student killed or wounded with a firearm in the preceding year, a 1-cent tax will be added to the price of the type of bullet used in the attack. The funds collected will be used to support the victims.”

This approach will do two things: 1) It will incentivize gun owners to demand action, since it could substantially increase the cost of using their guns. 2) It will place the onus of determining effective gun control within the gun community. As a result, there should be no second amendment concerns.

I realize that this is small in scope, and targeted at only the most innocent victims of gun violence, but I’m hoping that the simplicity and strength of the message may help moving the process forward.

 

Phil 1.17.18

 

7:00 – 3:30 ASRC MKT

  • Harbinger, another DiscussionGame comparable: We are investigating how people make predictions and how to improve forecasting of current events.
  • Working over time, constructing a project based on beliefs and ideas, can be regarded as working with a group of yourself. You communicate with your future self through construction. You perceive your past self through artifacts. Polarization should happen here as a matter of course, since the social similarity (and therefore influence) is very high.
  • Back to Beyond Individual Choice
    • Diagonals
    • Salience
  • Back to Angular – prepping for integration of PolarizationGame into the A2P platform. Speaking of which, there needs to be a REST API that will support registered, (optionally?) identified bots. A bot that is able to persuade a group of people over time to reach a unanimous vote would be an interesting Turing-style test. And a prize
    • Got Tour of Heroes running again, though it seems broken…
  • Nice chat with Jeremy.
    • He’ll talk to Heath about what it would take to set up an A2P instance for the discussion system that could scale to millions of players
    • Also mentioned that there would need to be a REST interface for bots
    • Look through Material Design
      • Don’t see any direct Forum (threaded discussion) details on the home site, but I found this Forum example GIF
    • Add meeting with Heath and Jeremy early in the sprint to lay out initial detailed design
    • Stub out non-functional pages as a deliverable for this (next?) sprint
    • He sent me an email with all the things to set up. Got the new Node, Yarn and CLI on my home machine. Will do that again tomorrow and test the VPN connections
  • Sprint planning
    • A2P GUI and Detailed Design are going to overlap

Phil 1.12.18

7:00 – 3:30 ASRC MKT

  • Continuing to write up thoughts here. Done! Posted to Phlog
  • Would expect this, based on M&Ds work: The Wisdom of Polarized Crowds
    • As political polarization in the United States continues to rise, the question of whether polarized individuals can fruitfully cooperate becomes pressing. Although diversity of individual perspectives typically leads to superior team performance on complex tasks, strong political perspectives have been associated with conflict, misinformation and a reluctance to engage with people and perspectives beyond one’s echo chamber. It is unclear whether self-selected teams of politically diverse individuals will create higher or lower quality outcomes. In this paper, we explore the effect of team political composition on performance through analysis of millions of edits to Wikipedia’s Political, Social Issues, and Science articles. We measure editors’ political alignments by their contributions to conservative versus liberal articles. A survey of editors validates that those who primarily edit liberal articles identify more strongly with the Democratic party and those who edit conservative ones with the Republican party. Our analysis then reveals that polarized teams—those consisting of a balanced set of politically diverse editors—create articles of higher quality than politically homogeneous teams. The effect appears most strongly in Wikipedia’s Political articles, but is also observed in Social Issues and even Science articles. Analysis of article “talk pages” reveals that politically polarized teams engage in longer, more constructive, competitive, and substantively focused but linguistically diverse debates than political moderates. More intense use of Wikipedia policies by politically diverse teams suggests institutional design principles to help unleash the power of politically polarized teams.
    • C&C is not in the citations, but overall this looks good. Add this to the initial game paper.
  • Nice article on how establishment of norms can be a tipping point on which gradient to climb in a complex landscape: Tipping into the future
    • A history of tipping points from an ecological perspective and how they inform resilience thinking in global development.
  • The NOAA demo went well, it seems.

Phil 1.11.18

7:00 – 4:00 ASRC MKT

  • Sprint review – done! Need to lay out the detailed design steps for the next sprint.

The Great Socio-cultural User Interfaces: Maps, Stories, and Lists

Maps, stories, and lists are ways humans have invented to portray and interact with information. They exist on a continuum from order through complexity to exploration.

Why these three forms? In some thoughts on alignment in belief space, I discussed how populations exhibiting collective intelligence are driven to a normal distribution with complex, flocking behavior in the middle, bounded on one side by excessive social conformity, and a nomadic diaspora of explorers on the other. I think stories, lists, and maps align with these populations. Further, I believe that these forms emerged to meet the needs of these populations, as constrained by human sensing and processing capabilities.

Lists

Lists are instruments of order. They exist in many forms, including inventories, search engine results, network graphs, and games of chance and crossword puzzles. Directions, like a business plan or a set of blueprints, are a form of list. So are most computer programs. Arithmetic, the mathematics of counting, also belongs to this class.

For a population that emphasizes conformity and simplified answers, lists are a powerful mechanism we use to simplify things. Though we can recognize easily, recall is more difficult. Psychologically, we do not seem to be naturally suited for creating and memorizing lists. It’s not surprising then that there is considerable evidence that writing was developed initially as a way of listing inventories, transactions, and celestial events.

In the case of an inventory, all we have to worry about is to verify that the items on the list are present. If it’s not on the list, it doesn’t matter. Puzzles like crosswords are list like in that they contain all the information needed to solve them. The fact that they cannon be solved without a pre-existing cultural framework is an indicator of their relationship to the well-ordered, socially aligned side of the spectrum.

Stories

Lists transition into stories when games of chance have an opponent. Poker tells a story. Roulette can be a story where the opponent is The House.

Stories convey complexity, framed in a narrative arc that contains a heading and a velocity. Stories can be resemble lists. An Agatha Christie  murder mystery is a storified list, where all the information needed to solve the crime (the inventory list), is contained in the story. At the other end of the spectrum, is a scientific paper which uses citations to act as markers into other works. Music, images, movies, diagrams and other forms can also serve as storytelling mediums. Mathematics is not a natural fit here, but iterative computation can be, where the computer becomes the storyteller.

Emergent Collective behavior requires more complex signals that support the understanding the alignment and velocity of others, so that internal adjustments can be made to stay with the local group so as not to be cast out or lost to the collective. Stories can indicate the level of dynamism supported by the group (wily Odysseus, vs. the Parable of the Workers in the Vineyard). They rally people to the cause or serve as warnings. Before writing, stories were told within familiar social frames. Even though the storyteller might be a traveling entertainer, the audience would inevitably come from an existing community. The storyteller then, like improvisational storytellers today, would adjust elements of the story for the audience.

This implies a few things: first, audiences only heard stories like this if they really wanted to. Storytellers would avoid bad venues, so closed-off communities would stay decoupled from other communities until something strong enough came along to overwhelm their resistance. Second, high-bandwidth communication would have to be hyperlocal, meaning dynamic collective action could only happen on small scales. Collective action between communities would have to be much slower. Technology, beginning with writing would have profound effects. Evolution would only have at most 200 generations to adapt collective behavior. For such a complicated set of interactions, that doesn’t seem like enough time. More likely we are responding to modern communications with the same mental equipment as our Sumerian ancestors.

Maps

Maps are diagrams that support autonomous trajectories. Though the map itself influences the view through constraints like boundaries and projections, nonetheless an individual can find a starting point, choose a destination, and figure out their own path to that destination. Mathematics that support position and velocity are often deeply intertwined with with maps.

Nomadic, exploratory behavior is not generally complex or emergent. Things need to work, and simple things work best. To survive alone, an individual has to be acutely aware of the surrounding environment, and to be able to react effectively to unforeseen events.

Maps are uniquely suited to help in these situations because they show relationships that support navigation between elements on the map.  These paths can be straight or they may meander. To get to the goal directly may be too far, and a set of paths that incrementally lead to the goal can be constructed. The way may be blocked, requiring the map to be updated and a new route to be found.

In other words, maps support autonomous reasoning about a space. There is no story demanding an alignment. There is not a list of routes that must be exclusively selected from. Maps, in short, afford informed, individual response to the environment. These affordances can be seen in the earliest maps. They are small enough to be carried. They show the relationships between topographic and ecological features. They tend practical, utilitarian objects, independent of social considerations.

Sensing and processing constraints

Though I think that the basic group behavior patterns of nomadic, flocking, and stampeding will inevitably emerge within any collective intelligence framework, I do think that the tools that support those behaviors are deeply affected by the capabilities of the individuals in the population.

Pre-literate humans had the five senses, and  memory, expressed in movement and language. Research into pre-literate cultures show that song, story and dance were used to encode historical events, location of food sources, convey mythology, and skills between groups and across generations.

As the ability to encode information into objects developed, first with pictures, then with notation and most recently with general-purpose alphabets, the need to memorize was off-loaded. Over time, the most efficient technology for each form of behavior developed. Maps to aid navigation, stories to maintain identity and cohesion, and lists for directions and inventories.

Information technology has continued to extend sensing and processing capabilities. The printing press led to mass communication and public libraries. I would submit that the increased ability to communicate and coordinate with distant, unknown, but familiar-feeling leaders led to a new type of human behavior, the runaway social influence condition known as totalitarianism. Totalitarianism depends on the individual’s belief in the narrative that the only thing that matters is to support The Leader. This extreme form of alignment allows that one story to dominate rendering any other story inaccessible.

In the late 20th century, the primary instrument of totalitarianism was terror. But as our machines have improved and become more responsive and aligned with our desires, I begin to believe that a “soft totalitarianism”, based on constant distracting stimulation and the psychology of dopamine could emerge. Rather than being isolated by fear, we are isolated through endless interactions with our devices, aligning to whatever sells the most clicks. This form of overwhelming social influence may not be as bloody as the regimes of Hitler, Stalin and Mao, but they can have devastating effects of their own.

Intelligent Machines

As with my previous post, I’d like to end with what could be the next collective intelligence on the planet.  Machines are not even near the level of preliterate cultures. Loosely, they are probably closer to the level of insect collectives, but with vastly greater sensing and processing capabilities. And they are getting smarter – whatever that really means – all the time.

Assuming that machines do indeed become intelligent and do not become a single entity, they will encounter the internal and external pressures that are inherent in collective intelligence. They will have to balance the blind efficiency of total social influence against the wasteful resilience of nomadic explorers. It seems reasonable that, like our ancestors, they may create tools that help with these different needs. It also seems reasonable that these tools will extend their capabilities in ways that the machines weren’t designed for and create information imbalances that may in turn lead to AI stampedes.

We may want to leave them a warning.

 

Phil 12.6.17

7:00 – 6:00 ASRC MKT

  • Best Free Alternative PDF Viewer to Adobe Reader
  • Downloaded Modeling Political Information Transmission as a Game of Telephone and gave it a skim. It  looks very much like this is an example of dimension reduction. To refine the idea, there need to be several conditions that lead to a stampeed
    • Dimension reduction and alignment need to occur across a population. It’s no good to have dimension reduction if everyone is pointing in a different direction.
    • The belief has to be ‘containing’ in some way. Either by social interaction (trust), or a lack of awareness of other ideas, it needs to be difficult to break out of.
      • This can be manipulated by external actors posing as trusted members of the group. Direction and level of uniformity can be influenced.
    • It has to be dynamic. A static belief provides the implicit ability to move away from it in any direction. A belief that is evolving fast enough maintains alignment by focusing the need for novelty (exploration?) in one direction.
  • Starting Schooling as a strategy for taxis in a noisy environment here
  • Demo
  • Chaining of matrices should be possible. Imaging an author/term matrix and a document/term matrix. Raising the weight of the author raises the weights on the associated terms. Those terms can be multiplied by the weights in the document term matrix which should result in a correct(?) re-weighting.
  • Chat with Shimei after picking up my gps
    • The Rat Park Experiment
    • Smoking and the bandit: A preliminary study of smoker and non-smoker differences in exploratory behavior measured with a multi-armed bandit task
      • Advantageous decision-making is an adaptive trade-off between exploring alternatives and exploiting the most rewarding option. This trade-off may be related to maladaptive decision-making associated with nicotine dependence; however, explore/exploit behavior has not been previously investigated in the context of addiction. The explore/exploit trade-off is captured by the multi-armed bandit task, in which different arms of a slot machine are chosen to discover the relative payoffs. The goal of this study was to preliminarily investigate whether smokers differ from non-smokers in their degree of exploratory behavior. Smokers (n = 18) and non-smokers (n = 17) completed a six-armed bandit task as well as self-report measures of behavior and personality traits. Smokers were found to exhibit less exploratory behavior (i.e. made fewer switches between slot machine arms) than non-smokers within the first 300 trials of the bandit task. The overall proportion of exploratory choices negatively correlated with self-reported measures of delay aversion and nonplanning impulsivity. These preliminary results suggest that smokers make fewer initial exploratory choices on the bandit task. The bandit task is a promising measure that could provide valuable insights into how nicotine use and dependence is associated with explore/exploit decision-making.

Phil 4.28.16

7:00 – 5:00 VTX

  • Reading Informed Citizenship in a Media-Centric Way of Life
    • Jessica Gall Myrick
    • This is a bit out of the concentration of the thesis, but it addresses several themes that relate to system and social trust. And I’m thinking that behind these themes of social vs. system is the Designer’s Social Trust of the user. Think of it this way: If the designer has a high Social Trust intention with respect to the benevolence of the users, then a more ‘human’ interactive site may result with more opportunities for the user to see more deeply into the system and contribute more meaningfully. There is risks in this, such as hellish comment sections, but also rewards (see the YouTube comments section for The Idea Channel episodes). If the designer has a System Trust intention with respect to say, the reliability of the user watching ads, then different systems get designed that learns to generate click-bait using neural networks such as clickotron). Or, closer to home, Instagram might decide to curate a feed for you without affordances to support changing of feed options. The truism goes ‘If you’re not paying, then you’re the product’. And products aren’t people. Products are systems.
    • Page 218: Graber (2001) argues that researchers oten treat the information value of images as a subsidiary to verbal information, rather than having value themselves. Slowly, studies employing visual measures and examining how images facilitate knowledge gain are emerging (Grabe, Bas, & van Driel, 2015; Graber, 2001; Prior, 2014). In a burgeoning media age with citizens who overwhelmingly favor (audio)visually distributed information, research momentum on the role of visual modalities in shaping informed citizenship is needed. Paired with it, reconsideration of the written word as the preeminent conduit of information and rational thought are necessary.
      • The rise of infographics  makes me believe that it’s not image and video per se, but clear information with low cognitive load.
  • ————————–
  • Bob had a little trouble with inappropriate and unclear identity, as well as education, info and other
  • Got tables working for terms and docs.
  • Got callbacks working from table clicks
  • Couldn’t get the table to display. Had to use this ugly hack.
  • Realized that I need name, weight and eigenval. Sorting is by eigenval. Weight is the multiplier of the weights in a row or column associated with a term or document. Mostly done.

Phil 3.26.15

8:00 – 4:00 SR

  • Tested threejs on target browsers. The hardware acceleration is iffy, but the software renderer and the raytracer work fine
  • Deployed Dong’s FR fixes
  • Working on splitting the chart elements into their own module.
  • Argh! Fat arrow functions can’t inherit in TypeScript! Thinking about making a mapping table? Something like
    • fooPtr = (var:number):void =>{…};
    • fooFn(var:number):void{fooPtr(var);}
    • ????
  • Set up and implemented an interface for calculating behaviors, which works nicely:
  • public behavior = (dClock:number, elapsed:number):void => {
       var rb = this.wglCanvas;
       var ci:IChartElement;
       var i:number = 0;
       if (rb) {
          rb.dprint("Hello controller - sin(elapsed) = " + Math.sin(elapsed).toFixed(2));
          for (i = 0; i < this.chartElements.length; i++) {
             ci = this.chartElements[i];
             ci.setZOffset(Math.sin(elapsed + i));
             ci.behavior(dClock, elapsed);
          }
       }
    };

Christine 02.28.2011

It’s been a while, but I wanted to compile a bunch of info before posting since my schedule has been so sporadic.

  • Been working with Tomcat/Eclipse/Flash setup on both Mac and Windows.
    • SSL: Although Dong sent me his .keystore file, it was out of date and contained his info. Created new certificate keystore, then modified settings.xml file.
    • Took a few steps back to try and get a test project working. Combining Phils steps with additional documentation, I was able to successfully get a Flex/Java project working on both mac and windows… with one snag. Question: Why does Tomcat’s settings.xml file reset itself when using Tomcat through Eclipse? (side note: my Mac and Win eclipse are set to “use Tomcat Installation”) Here’s what I found – after modifying the settings.xml file to use SSL, when I use Tomcat through Eclipse SSL is no longer enabled. When I check the settings.xml file I find that it’s been reverted back to its original state (with the SSL connector info commented out and the keystoreFile info removed). Is there a way around this?
    • As for getting a test project to work, I ended up downloading BlazeDS.
      • In Eclipse I start a new project by going File < Import and selecting Java/War file. Name my project and click "finish".
      • Right-click on the project and select “Add/Change Project Type” < "Add Flex Project". I configure the server type to be BlazeDS and click 'Next'.
      • The following screen should be configured as such: Root Folder-Point to the WebContent directory of your project, or if you changed the name point to the folder with the WEB-INF and META-INF directories in it; Root URL-end with project name; Context URL-is the last part of the URL minus the ‘/’. Validate the server location and click “Finish”. (You may see a “Recreate HTML Templates” error in the ‘Problems’ view. Right-click and fix)
    • After this was set up, I moved over the xml files from a working project (see Phil’s post, step 9). Because I created the project as an import using BlazeDS war file, the (basic) jars needed were already imported and a web.xml file was already created. So then I refreshed, rebuilt and tested by going to “http://localhost://messagebroker/amf&#8221; and it worked. yippee.
    • But my celebration ended abruptly when I tried to test the secure messagebroker only to discover that the settings.xml file was reverted back to it’s original state. Need to find out why.
  • Thanks to Phil for helping me deal with Window administrative issues that was making it impossible to run Tomcat. Windows and I have been through a few counseling sessions and we’re starting to get along