Society of Agents - A Framework for Multi-Agent Collaborative Problem Solving

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Abstract

The development of multiple agent systems faces many challenges, including agent coordination and collaboration on tasks. Minsky's The Society of Mind provides a conceptual view for addressing these multi-agent system problems. A new classification ontology is introduced for comparing multi-agent systems. Next, a new framework called the Society of Agents is developed from Minsky's conceptual foundation. A Society of Agents framework-based problem-solving and a Game Society is developed and applied to the domain of single player logic puzzles and two player games. The Game Society solved 100% of presented Sudoku and Kakuro problems and never lost a tic-tac-toe game. The advantage of the Society of Agents approach is the efficient re-utilization of agents across multiple independent game domain problems and a centralized problem-solving architecture with efficient cross-agent information sharing.
Original languageAmerican English
JournalInternational Journal of Intelligent Information Technologies
Volume14
StatePublished - 2018

Keywords

  • centralized
  • collaboration
  • communication
  • cooperation
  • decentralized
  • Minsky
  • multi-agent systems
  • problem solving
  • Society of Agents
  • Society of Mind
  • software agents

Disciplines

  • Management Information Systems

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