AirSim is a simulator for drones, cars and more, built on Unreal Engine (we now also have an experimental Unity release). It is open-source, cross platform, and supports hardware-in-loop with popular flight controllers such as PX4 for physically and visually realistic simulations. It is developed as an Unreal plugin that can simply be dropped into any Unreal environment. Similarly, we have an experimental release for a Unity plugin.
Added notes for the dissertation revisions
Working on the GVSETS paper – meeting at 3:00. Got everything into SVN and coordinated across machines.
Combine the Limitations and Future Work chapters into a new chapter that explores where my research has landed. I think that a beachhead analogy might work here.
Preliminary, early work that lives in the space between computational sociology and HCC (socio-technical, from From Keyword Search to Exploration). Add discussions about wormholes, weathermaps, and maps that connect distant places, like air travel maps.
Gathering data on online consensus in various sized groups and within different cultures
Extending simulations into human belief spaces, such as with GPT-2 agents
Add a “my hut, revisited” section to the contributions that discusses the contributions from the perspective of the spaces defined by Kauffman, Martindale, and Bacharach in particular, but also the literature in general
Tie into this as well
Some general reworking of the contributions text to reflect the slides: This also requires expansion of the current text in CH11. In particular slides 49-52 are a stronger synopsis than is provided in your CH10 discussion. Slides 53-56 are a more thoughtful framing of your contributions, both theoretical and practical (can you weave this back in your literature from CH2 to show specific knowledge contribution?). The “bookend” revisiting ofthe trustworthy anonymous citizen journalism was also more effective in the presentation than the document. Consider capturing this.
This advanced option course discusses the search for a general theory of learning and inference in biological brains. It draws upon diverse themes in the fields of psychology, neuroscience, machine learning and artificial intelligence research. We begin by posing broad questions. What are brains for, and what does it mean to ask how they “work”? Then, over a series of lectures, we discuss parallel computational approaches in machine learning/AI and psychology/neuroscience, including reinforcement learning, deep learning, and Bayesian methods. We contrast computational and representational approaches to understanding neuroscience data. We ask whether current approaches in machine learning are feasible and scaleable, and which methods – if any – resemble the computations observed in biological brains. We review how high-level cognitive functions – attention, episodic memory, concept formation, reasoning and executive control – are being instantiated in artificial agents, and how their implementation draws upon what we know about the mammalian brain. Finally, we contemplate the outlook for the future, and whether AI will be “solved” in the near future.
Soooooo, that turned out to be a bigger problem. The way that admin is set up is that there are two levels, an “install software” level, and an “install hardware level”. I had been given the former. When I installed the new SSD, it had to be formatted with NTFS. I could launch the device manager, but could not access the drive. I took the box down to HQ, and their IT folks were mystified. I stopped by the shop that had fixed the power supply, and for another $50, they put the drive in another machine, formatted and named it. Then it worked. Wheee.
I then start re-installing software and find that although I can log in as admin, I can’t run anything as admin. That requires going back to HQ so that they can set permissions on the local network, and install a VPN. Now our local network is horrible. There is some kind of whitelist/blacklist filter that is so slow that web pages often timeout rather than load.
At this point, I decided that it was easier to reset the machine and start over. So I’ll be doing that for a few days. Today, I got the NVIDIA and CUDA drivers installed.
World building forms the foundation of any task that requires narrative intelligence. In this work, we focus on procedurally generating interactive fiction worlds—text-based worlds that players “see” and “talk to” using natural language. Generating these worlds requires referencing everyday and thematic commonsense priors in addition to being semantically consistent, interesting, and coherent throughout. Using existing story plots as inspiration, we present a method that first extracts a partial knowledge graph encoding basic information regarding world structure such as locations and objects. This knowledge graph is then automatically completed utilizing thematic knowledge and used to guide a neural language generation model that fleshes out the rest of the world. We perform human participant-based evaluations, testing our neural model’s ability to extract and fill-in a knowledge graph and to generate language conditioned on it against rule-based and human-made baselines. Our code is available at this https URL.
Tech companies should test the effects of their products on our safety and civil liberties. We should also test them ourselves.
Ran through the presentation with David. He pointed out that stampedes bouncing off the edge of the environment look like flocking, so I generated a new map where the stampede gathers and runs off the edge
Deceptive claims surround us, embedded in fake news, advertisements, political propaganda, and rumors. How do people know what to believe? Truth judgments reflect inferences drawn from three types of information: base rates, feelings, and consistency with information retrieved from memory. First, people exhibit a bias to accept incoming information, because most claims in our environments are true. Second, people interpret feelings, like ease of processing, as evidence of truth. And third, people can (but do not always) consider whether assertions match facts and source information stored in memory. This three-part framework predicts specific illusions (e.g., truthiness, illusory truth), offers ways to correct stubborn misconceptions, and suggests the importance of converging cues in a post-truth world, where falsehoods travel further and faster than the truth.
It turns out that the alienware OEM power supply uses standard connectors in a non-standard way. When I had to use the OEM SATA low-profile connector, I tripped the power supply and also blew out the HD. Ordered a replacement SATA SSD
Rebuild travel folders
Copy laptop’s d: dev and program files folders onto new SSD
When a male or female white-browed sparrow-weaver begins its song, its partner joins in at a certain time. They duet with each other by singing in turn and precisely in tune. A team led by researchers from the Max Planck Institute for Ornithology in Seewiesen used mobile transmitters to simultaneously record neural and acoustic signals from pairs of birds singing duets in their natural habitat. They found that the nerve cell activity in the brain of the singing bird changes and synchronizes with its partner when the partner begins to sing. The brains of both animals then essentially function as one, which leads to the perfect duet. (original article: Duets recorded in the wild reveal that interindividually coordinated motor control enables cooperative behavior)
Top-down visual attention mechanisms have been used extensively in image captioning and visual question answering (VQA) to enable deeper image understanding through fine-grained analysis and even multiple steps of reasoning. In this work, we propose a combined bottom-up and top down attention mechanism that enables attention to be calculated at the level of objects and other salient image regions. This is the natural basis for attention to be considered. Within our approach, the bottom-up mechanism (based on Faster R-CNN) proposes image regions, each with an associated feature vector, while the top-down mechanism determines feature weightings. Applying this approach to image captioning, our results on the MSCOCO test server establish a new state-of-the-art for the task, achieving CIDEr / SPICE / BLEU-4 scores of 117.9, 21.5 and 36.9, respectively. Demonstrating the broad applicability of the method, applying the same approach to VQA we obtain first place in the 2017 VQA Challenge
Need to think about how to discuss maps like the T-O and belief space maps (flocking and stampeding projections?) are attention maps as well. Emphasizing well-triangulated but less-attended areas is a potential good. Compare to how maps opened up areas for exploration and exploitation, but this is constructive and not extractive
Walkthrough of Aaron’s slides
Showed him how to outline boxes and reduce the filesize
Walkthrough of the slides
Strengthen the connection between the sim and the human study
In Data Voids: Where Missing Data Can Easily Be Exploited, Golebiewski teams up with danah boyd (Microsoft Research; Data & Society) to demonstrate how data voids are exploited by manipulators eager to expose people to problematic content including falsehoods, misinformation, and disinformation.
Data voids are often difficult to detect. Most can be harmless until something happens that causes lots of people to search for the same term, such as a breaking news event, or a reporter using an unfamiliar phrase. In some cases, manipulators work quickly to produce conspiratorial content to fill a void, whereas other data voids, such as those from outdated terms, are filled slowly over time. Data voids are compounded by the fraught pathways of search-adjacent recommendation systems such as auto-play, auto-fill, and trending topics; each of which are vulnerable to manipulation.