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Artificial Intelligence
Task modeling with reusable problem-solving methods
Artificial Intelligence
ALX, an action logic for agents with bounded rationality
Artificial Intelligence
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Negotiation and cooperation in multi-agent environments
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Coalitions among computationally bounded agents
Artificial Intelligence - Special issue on economic principles of multi-agent systems
On the emergence of social conventions: modeling, analysis, and simulations
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Methods for task allocation via agent coalition formation
Artificial Intelligence
Modelling social action for AI agents
Artificial Intelligence - Special issue: artificial intelligence 40 years later
Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
The logical foundations of goal-regression planning in autonomous agents
Artificial Intelligence
Emergent cooperative goal-satisfaction in large-scale automated-agent systems
Artificial Intelligence
Two mechanisms for distributed problem solving
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Design of steady-state behavior of concurrent repetitive processes: an algebraic approach
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Rational agents, contract curves, and inefficient compromises
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Agent based digital libraries: decentralization and coordination
IEEE Communications Magazine
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This paper is devoted to a new algebraic modelling approach to distributed problem-solving in multi-agent systems (MAS), which is featured by a unified framework for describing and treating social behaviors, social dynamics and social intelligence. A conceptual architecture of algebraic modelling is presented. The algebraic modelling of typical social behaviors, social situation and social dynamics is discussed in the context of distributed problem-solving in MAS. The comparison and simulation on distributed task allocations and resource assignments in MAS show more advantages of the algebraic approach than other conventional methods.