Constructing shared interpretations in a team of intelligent agents: the effects of communication intensity and structure

Davide Marchiori , Massimo Warglien

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

In this paper we explore a model of a team of intelligent agents constructing a shared interpretation of the state of their environment. Each agent is modeled as a constraint satisfaction network of the Hopfield (1982) type.
We show that in a noisy environment communication intensity often has a non-monotonic effect on team interpretive accuracy. We also investigate how team communication can correct erroneous individual interpretations stored in agents’ memories — errors concerning what they know, not only what they perceive.
We also compare the effects of different communication structures, and show that communication structure matters only when agents are cognitively heterogeneous (each has a different repertoire of interpretations in his memory), while it has only a minor impact on team performance when agents are homogeneous.
Original languageEnglish
Title of host publicationAgent-Based Simulation: From Modeling Methodologies to Real-World Applications : Post-Proceedings of the Third International Workshop on Agent-Based Approaches in Economic and Social Complex Systems 2004
EditorsTakao Terano et al.
PublisherSpringer
Publication date2005
Pages58-71
ISBN (Print)978-4-431-26592-4
ISBN (Electronic)978-4-431-26925-0
DOIs
Publication statusPublished - 2005
Externally publishedYes
EventThird International Workshop on Agent-Based Approaches in Economic and Social Complex Systems - Kyoto University, Kyoto, Japan
Duration: 27. May 200429. May 2004
Conference number: 3

Conference

ConferenceThird International Workshop on Agent-Based Approaches in Economic and Social Complex Systems
Number3
LocationKyoto University
Country/TerritoryJapan
CityKyoto
Period27/05/200429/05/2004
SeriesAgent-Based Social Systems
ISSN1861-0803

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