Proceedings:
No. 1: AAAI-19, IAAI-19, EAAI-20
Volume
Issue:
Proceedings of the AAAI Conference on Artificial Intelligence, 33
Track:
AAAI Technical Track: Knowledge Representation and Reasoning
Downloads:
Abstract:
This paper proposes Multi-context System for Optimization Problems (MCS-OP) by introducing conditional costassignment 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 applied bridge rules. As an application of MCS-OP, the paper describes how MCS-OP can be used in modeling Distributed Constraint Optimization Problems (DCOP), a prominent class of distributed optimization problems that is frequently 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.
DOI:
10.1609/aaai.v33i01.33012929
AAAI
Proceedings of the AAAI Conference on Artificial Intelligence, 33