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slides - David Vernon

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Each with own<br />

limited encodings<br />

Network of<br />

cooperating/competing<br />

circuits<br />

Learning: to tune<br />

phylogenetic skills<br />

Development:<br />

change system dynamics<br />

new action spaces<br />

Self-modification<br />

Model Generation<br />

Cognitive Architecture<br />

Robot Phylogeny<br />

Novel regularities in the world<br />

Exploratory motives<br />

Potential of own actions<br />

agent interaction:<br />

mutually-constructed<br />

patterns of behaviour<br />

Social motives<br />

Supervised<br />

Unsupervised<br />

Reinforcement<br />

Moderate<br />

actual behaviour<br />

Learning<br />

Mechanism to rehearse<br />

hypothetical scenarios<br />

Action-Perception<br />

Couplings<br />

Embodiment

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