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Author Kemmerich, T. ♦ Büning, H.K.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Training ♦ Context ♦ Multiagent systems ♦ Multiagent System ♦ Media ♦ limited resources ♦ partitioning ♦ Cognition ♦ Mathematical model ♦ external storage media ♦ Robots ♦ coordination
Abstract Our goal is to understand limitations of simplicity of knowledge structures and reasoning processes in Multiagent Systems. Therefore, we propose a framework that integrates external storage media and a capacity-constrained Multiagent System. Agents can store knowledge internally and on external storage media located in an environment. In some cases, agents either have to forget or to store knowledge externally due to limited internal memory. We define notions of suitable knowledge and let agents learn in the context of an iterative partitioning task problem. Using basic knowledge structures and a simple $k$-Nearest-Neighbor approach, we evaluate the role of limited internal memory in conjunction with strategic positioning of storage media and knowledge items. We also investigate dependencies between communication, internal memory size, frequently changing settings, and externally stored items. The results show that externally and strategically stored simple knowledge can support agents' reasoning processes. The approach is robust even in highly dynamic settings with small memory and without inter-agent communication.
ISBN 9781424484829
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-08-31
Publisher Place Canada
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 362.60 kB
Page Count 8
Starting Page 109
Ending Page 116

Source: IEEE Xplore Digital Library