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 language | American English |
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Journal | International Journal of Intelligent Information Technologies |
Volume | 14 |
State | Published - 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