Developing a knowledge management multi-agent system using JaCaMo

  • Authors:
  • Carlos M. Toledo;Rafael H. Bordini;Omar Chiotti;María R. Galli

  • Affiliations:
  • INGAR-CONICET, Santa Fe, Argentina;FACIN---PUCRS, Porto Alegre, RS, Brazil;INGAR-CONICET, Santa Fe, Argentina;INGAR-CONICET, Santa Fe, Argentina

  • Venue:
  • ProMAS'11 Proceedings of the 9th international conference on Programming Multi-Agent Systems
  • Year:
  • 2011

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Abstract

Recent research on social and organisational aspects of multi-agent systems has led to practical organisational models and the idea of organisation-oriented programming. These organisational models help agents to achieve shared (global) goals of the multi-agent system. Having an organisational model is an important advance, but this model needs to be integrated to an environment infrastructure and agent-oriented programming platforms. JaCaMo is the first fully operational programming platform that integrates three levels of multi-agent abstractions: an agent programming language, an organisational model, and an environment infrastructure. For better showcasing the advantages of a fully-fledged multi-agent platform, this paper presents a concrete agent-based architecture to proactively supply knowledge to knowledge-intensive workflows which has been designed using JaCaMo.