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The kω-optimization distributed meta-level control for cooperation and competition of bounded rational agents.
| Content Provider | CiteSeerX |
|---|---|
| Author | Eberbach, Eugene |
| Abstract | Abstract. The $-calculus process algebra for problem solving applies the cost performance measures to converge to optimal solutions with minimal problem solving costs. The same meta-level kΩ-optimization control can be used to find the best quality solutions (expressed as optimization problems), the most effective solutions (expressed as search optimization problems), or to find solutions representing the tradeoff between the best quality and least costly solutions (expressed as totally optimization problems). The total optimization is described as an instance of multiobjective optimization. In this paper we demonstrate that cooperation and competition of multiagent systems can be naturally investigated as a multiobjective optimization too. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Bounded Rational Agent Optimization Distributed Meta-level Control Multiobjective Optimization Optimization Problem Cost Performance Measure Effective Solution Meta-level Optimization Control Minimal Problem Solving Cost Calculus Process Algebra Optimal Solution Quality Solution Multiagent System Total Optimization Costly Solution Search Optimization Problem |
| Content Type | Text |
| Resource Type | Article |
