This work reconsider from first principles the general structure of the information that a set of sources provides about a given variable and proposes a definition of partial information atoms that exhaustively decompose the Shannon information in a multivariate system in terms of the redundancy between synergies of subsets of the sources.Expand

A model agent whose "nervous system" was evolved using a genetic algorithm to catch circular objects and to avoid diamond-shaped ones is studied to illustrate how the perspective and tools of dynamical systems theory can be applied to the analysis of situated, embodied agents capable of minimally cognitive behavior.Expand

This article begins a systematic examination of the dynamics of continuous-time recurrent neural networks with a fairly complete description of the possible dynamical behavior and bifurcations of one- and two-neuron circuits.Expand

It is demonstrated that continuous-time recurrent neural networks are a viable mechanism for adaptive agent control and that the genetic algorithm can be used to evolve effective neural controllers.Expand

Three contrasting examples of work in this area that address the lexical and grammatical structure of language, Piaget's classic 'A-not-B' error, and active categorical perception in an embodied, situated agent are reviewed.Expand

Computational neuroethology, which jointly models neural control and periphery of animals, is a promising methodology for understanding adaptive behavior.Expand

The issues nised and the ltsights gained go ditectly to the hea* of what it is to r derctanl krma cogtlitiott itself, and will be useful to anyone uonlning how dynanical approaches might be bro sht ta beat in thinkihg abo t asPects of h1lna11 casnitian.Expand

An initial mapping of the basic concepts of adaptive behavior into the language of dynamical systems theory is proposed, and some of the general consequences of this preliminary theoretical framework are discussed.Expand

A general theoretical framework for the synthesis and analysis of autonomous agents is sketched, in which an agent and its environment are modeled as two coupled dynamical systems whose mutual interaction is in general jointly responsible for the agent's behavior.Expand