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Particle Swarm of Agents for Heterogenous Knowledge Integration

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10448)

Abstract

There is an ever increasing number of sources that may be used for knowledge processing. Often this requires dealing with heterogeneous knowledge and current methods become inadequate in these tasks. Thus it becomes important to develop better general methods and tools, or methods tailored to specific problems. In this paper we consider the problem of knowledge integration in a group of social agents. We use approaches based on particle swarm optimization – without the optimization component – to model the diffusion of information in a group of social agents. We present a short description of the theoretical model – a modification of PSO heuristics. We also conduct an experiment comparing this approach to previously researched models of knowledge integration in a group of social agents.

Keywords

Knowledge integration Multiagent system Collective knowledge Knowledge diffusion Multiagent system 

Notes

Acknowledgment

This research was co-financed by Polish Ministry of Science and Higher Education grant.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Faculty of Computer Science and ManagementWroclaw University of Science and TechnologyWroclawPoland

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