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Organizing an agent's memory

: Bisler, A.

Capcarrere, M.S.:
Advances in Artificial Life. Workshop proceedings. CD-ROM
Canterbury: University of Kent, 2005
10 S.
European Conference on Artificial Life (ECAL) <8, 2005, Canterbury>
Workshop on Memory and Learning Mechanisms in Autonomous Robots <2005, Canterbury>
Fraunhofer IGD ()
Artificial Life; autonomous agent; behavior modeling; learning behaviour; adaptivity

The architecture of a memory for autonomous agents is presented. It is based on an interconnected network of data containers. The memory design principles follow the requirements of supporting action selection mechanisms, planning, and learning capabilities. Different types of data are organized in four segments.