I had home-grown tomatoes this morning!
And I hung up my shiny new diploma!
God help me, I’m updating my IDE
- Asked Vadim to exercise the satellite through +/- 90
- Need to start working on the mapping of rwheels to inertial(?) frame. The thing is, the yaw axis rotates 360 degrees every day, so what frame do we use? My thinking is that the inertial frame (as defined by the star tracker) is unchanging, but we have a rotating frame inside that . The satellite’s moves are relative to that rotating frame plus the inertial frame. So the satellite’s first task is to keep its orientation relative to the rotating frame, then execute commands with respect to that frame. So a stacked matrix of inertial frame, Earth frame, vehicle matrix and then a matrix for each of the rwheels?
Review papers – Start reading second
- 10:00 Meeting with Vadim – good progress
- 2:00 AI-ML GOES meeting
- 3:00 AIMS AI/ML Milestone Review
7:00 – 4:00 ASRC GOES
Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks
- Evolution is a blind fitting process by which organisms become adapted to their environment. Does the brain use similar brute-force fitting processes to learn how to perceive and act upon the world? Recent advances in artificial neural networks have exposed the power of optimizing millions of synaptic weights over millions of observations to operate robustly in real-world contexts. These models do not learn simple, human-interpretable rules or representations of the world; rather, they use local computations to interpolate over task-relevant manifolds in a high-dimensional parameter space. Counterintuitively, similar to evolutionary processes, over-parameterized models can be simple and parsimonious, as they provide a versatile, robust solution for learning a diverse set of functions. This new family of direct-fit models present a radical challenge to many of the theoretical assumptions in psychology and neuroscience. At the same time, this shift in perspective establishes unexpected links with developmental and ecological psychology.
- Discussion slides
- contributions – done
- designing for populations 1 & 2- done
- Diversity and resilience- done
- Non-human agents- done
- Reflection and reflex- done
- Ethical considerations- done
- Ethics of diversity injection
- Ethics of belief space cartography
- Get signature from Aaron at 7:30
7:00 – 4:00 Antonio Workshop
- Thought of a title: Transportation as a Service: Concepts, Implementations, and Black Swans
- Starting on Market-oriented programming.
- Would Kaufman’s patches apply here to localize markets? Certainly the idea of long jumps on the fitness landscapes initially (between patches), then short jumps on a single patch could make a lot of sense. For example, it might make sense to fly from BWI to dulles for an important meeting if traffic is very bad. This is why Sao Paulo and Mexico City have helicopters.
- Can A* be applied to create a “best path” through a set of resources (based on time, money, etc) to get to a destination?
- Some interesting belief space work: “Plotto”: Generating Truly Offensive Stories Since 1928.
- “Plotto: The Master Book of All Plots” (Amazon title!) was written by William Cook in 1928. I have had the physical book for years, which is a gorgeous object, but I have always wanted a digital database of the contents.