Dynamics of Learning & Distributed Adaptation James P

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Presentation transcript:

Dynamics of Learning & Distributed Adaptation James P Dynamics of Learning & Distributed Adaptation James P. Crutchfield, Santa Fe Institute Dynamics of Learning Example The “Aha” Effect: 1. Memorize: store history 2. Discover structure 3. Refine model Accomplishments Predictive theory of agent learning Quantify structure in environment Quantify agent modeling capacity Fluctuations due to finite populations Technical Approach Dynamical systems theory for nonlinear analysis of temporal behavior Pattern formation theory and statistical mechanics for emergent structures and functions in agent populations Information and computation theories: a new approach to agent learning REF: Intelligent Vehicle and Road System Provide analytical methods and quantitative measures of vehicle-road system structure and performance Automated design of adaptive control systems Analyze control system complexity versus traffic pattern regimes