2001, Volume 4, Number 3, pp.212-249
This is the second part of an overview devoted to
autonomous agents and multi-agent systems. Such systems are
deemed as designed to obtain an ensemble of interconnected agents
that can operate beyond the capabilities of any individual.
Cooperation and competition among interacting agents are regarded
as a foundation of self-organization of the system. Collective
intelligence is viewed as emergent property that can arise in a
system of agents due to self-organization under a certain level of
complexity. Neural networks and neural fields are considered as
dynamical systems that can be used for implementation of
intelligent agents. In this connection some feasible dynamical
mechanisms of thinking are considered which lead to an
architecture of cognitive neural systems and intelligent agents.
It is also discussed a cognitive model in which cognition is
treated as anticipation through creating and matching hypotheses,
which might appear essential for intelligent agent and brain
building.
Key words: autonomous agents, multi-agent
systems, neural networks, neural fields, nonlinear dynamical
systems, self-organization, artificial intelligence, thinking,
cognition, anticipation, language, meanings of information, brain
building
Full text:
Acrobat PDF (302KB)
PostScript (1460KB)
PostScript.gz (303KB)
Copyright © Nonlinear Phenomena in Complex Systems. Last updated: October 15, 2001