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Creators/Authors contains: "Le, Tiep"

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  1. ; ; (, Proceedings of the ... AAAI Conference on Artificial Intelligence)
    This paper proposes Multi-context System for Optimiza- tion Problems (MCS-OP) by introducing conditional cost- assignment bridge rules to Multi-context Systems (MCS). This novel feature facilitates the definition of a preorder among equilibria, based on the total incurred cost of ap- plied bridge rules. As an application of MCS-OP, the pa- per describes how MCS-OP can be used in modeling Dis- tributed Constraint Optimization Problems (DCOP), a promi- nent class of distributed optimization problems that is fre- quently employed in multi-agent system (MAS) research. The paper shows, by means of an example, that MCS-OP is more expressive than DCOP, and hence, could potentially be useful in modeling distributed optimization problems which cannot be easily dealt with using DCOPs. It also contains a complexity analysis of MCS-OP. 
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    Accepted Manuscript Full Text Available
  2. ; ; (, Proceedings of the ... AAAI Conference on Artificial Intelligence)
    This paper proposes Multi-context System for Optimiza- tion Problems (MCS-OP) by introducing conditional cost- assignment bridge rules to Multi-context Systems (MCS). This novel feature facilitates the definition of a preorder among equilibria, based on the total incurred cost of ap- plied bridge rules. As an application of MCS-OP, the pa- per describes how MCS-OP can be used in modeling Dis- tributed Constraint Optimization Problems (DCOP), a promi- nent class of distributed optimization problems that is fre- quently employed in multi-agent system (MAS) research. The paper shows, by means of an example, that MCS-OP is more expressive than DCOP, and hence, could potentially be useful in modeling distributed optimization problems which cannot be easily dealt with using DCOPs. It also contains a complexity analysis of MCS-OP. 
    more » « less
    Accepted Manuscript Full Text Available