The design and analysis of efficient learning algorithms

1994 Discrete Applied Mathematics  
Chapter 5: Strategies for Survival: Competition, Games and the Theory of Evolution. Evolutionary epistemology. The neo-darwinian paradigm. Genetic vs. phenotypic change. Game theory-the basics. A typology of mixed-motive games. Replicators, hypercycles and selection. Equilibrium properties of replicator systems. Perseverance of species in replicator systems. Classification of replicator systems. Game theory and replicator systems. Desert plant root systems and ESS. ESS vs. optimality. Flowering
more » ... times for plants under competition. Sociobiology. The evolution of cooperation. Chapter 6: The Analytical Engine: A System-Theoretic View of Brains, Minds and Mechanisms. Brains and minds. Input/output relations and control systems. Behavioral vs. cognitive psychology. Stimulus-response patterns and external system models. Cognitive states and internal models. Realizations and canonical models. Linear systems and canonical realizations. The ho realization algorithm. Partial realizations. Approximate modeling and inexact data. The state-space X. The cognitive theorem. Memory and behavior. Thoughts and group invariants. Linearity?. Reachability of bilinear systems,
doi:10.1016/0166-218x(94)90159-7 fatcat:2bmebkuqn5as3gt64x6bjm4xb4