annotate thesis/cortex.org @ 435:ae3bfc82ac7c

on dylan's suggestion, rewriting abstract to show hand more.
author Robert McIntyre <rlm@mit.edu>
date Sun, 23 Mar 2014 17:59:16 -0400
parents 1e5ea711857d
children 853377051f1e
rev   line source
rlm@425 1 #+title: =CORTEX=
rlm@425 2 #+author: Robert McIntyre
rlm@425 3 #+email: rlm@mit.edu
rlm@425 4 #+description: Using embodied AI to facilitate Artificial Imagination.
rlm@425 5 #+keywords: AI, clojure, embodiment
rlm@422 6
rlm@435 7 -- show hand
rlm@435 8
rlm@435 9 * Embodiment is a critical component to Intelligence
rlm@435 10
rlm@435 11 * To explore embodiment, we need a world, body, and senses
rlm@435 12
rlm@435 13 * Because of Time, simulation is perferable to reality
rlm@435 14
rlm@435 15 * Video game engines are a great starting point
rlm@435 16
rlm@435 17 * Bodies are composed of segments connected by joints
rlm@435 18
rlm@435 19 * Eyes reuse standard video game components
rlm@435 20
rlm@435 21 * Hearing is hard; =CORTEX= does it right
rlm@435 22
rlm@435 23 * Touch uses hundreds of hair-like elements
rlm@435 24
rlm@435 25 * Proprioception is the force that makes everything ``real''
rlm@435 26
rlm@435 27 * Muscles are both effectors and sensors
rlm@435 28
rlm@435 29 * =CORTEX= brings complex creatures to life!
rlm@435 30
rlm@435 31 * =CORTEX= enables many possiblities for further research
rlm@435 32
rlm@435 33 * =CORTEX= User Guide
rlm@435 34
rlm@435 35 * Empathy in a simulated worm
rlm@435 36
rlm@435 37 * Embodiment factors action recognition into managable parts
rlm@435 38
rlm@435 39 * Action recognition is easy with a full gamut of senses
rlm@435 40
rlm@435 41 * Digression: bootstrapping with multiple senses
rlm@435 42
rlm@435 43 * \Phi-space describes the worm's experiences
rlm@435 44
rlm@435 45 * Empathy is the process of tracing though \Phi-space
rlm@435 46
rlm@435 47 * Efficient action recognition via empathy
rlm@435 48
rlm@435 49 * Contributions
rlm@435 50
rlm@435 51
rlm@432 52 * Vision
rlm@422 53
rlm@432 54 System for understanding what the actors in a video are doing --
rlm@432 55 Action Recognition.
rlm@432 56
rlm@432 57 Separate action recognition into three components:
rlm@422 58
rlm@432 59 - free play
rlm@432 60 - embodied action predicates
rlm@432 61 - model alignment
rlm@432 62 - sensory imagination
rlm@422 63
rlm@432 64 * Steps
rlm@432 65
rlm@432 66 - Build cortex, a simulated environment for sensate AI
rlm@432 67 - solid bodies w/ joints
rlm@432 68 - vision
rlm@432 69 - touch
rlm@432 70 - vision
rlm@432 71 - hearing
rlm@432 72 - proprioception
rlm@432 73 - muscle contraction
rlm@425 74
rlm@432 75 - Build experimental framework for worm-actions
rlm@432 76 - embodied stream predicates
rlm@432 77 - \phi-space
rlm@432 78 - \phi-scan
rlm@425 79
rlm@432 80 * News
rlm@432 81
rlm@432 82 Experimental results:
rlm@425 83
rlm@432 84 - \phi-space actually works very well for the worm!
rlm@432 85 - self organizing touch map
rlm@425 86
rlm@425 87
rlm@432 88 * Contributions
rlm@432 89 - Built =CORTEX=, a comprehensive platform for embodied AI
rlm@432 90 experiments. Has many new features lacking in other systems, such
rlm@432 91 as sound. Easy to model/create new creatures.
rlm@432 92 - created a novel concept for action recognition by using artificial
rlm@432 93 imagination.
rlm@426 94
rlm@426 95
rlm@432 96
rlm@432 97
rlm@432 98
rlm@432 99
rlm@432 100