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Large version of slide
Notes
- all communication between AI and world is tightly controlled
- two main components of the actor are information and reaction
- information gathering takes place in a layered knowledge model where information flows from raw sensory data into more and more processed forms
- perceptual data -> memory -> spatial analysis -> situational analysis -> persistent emotions
- decision logic is fed by stimuli about the world which are generated as we process information
- current situation + stimulus -> decision logic selects an action to perform, which generates specific motion instructions
- information gathering involves a lot of number crunching and can be distributed over time
- decision logic needs to be quick, procedurally driven and to happen frequently (we ran complete decision code every tick)
- next I'm going to expand on what the structure of the decision code is, what's inside that box
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