Title :
Branching Temporal Qualitative Coalitional Games with Preferences
Author :
Cheng, Bailiang ; Zeng, Guosun ; Jie, Anquan
Abstract :
Qualitative Coalitional Games (QCGs), as a variation of coalitional games, is to investigate agents´ strategies and behaviors in cooperating games. Each agent has a set of goals as its desires and will be satisfied if at least one of its desires is achieved by executing some strategies in a coalition, otherwise be unsatisfied. After introducing QCGs, we add preference to QCGs framework to enable that every agent has the ability to join the best coalition for achieving its preferences goals. In order to make a formal description and reason about repeated coalitional games, the paper will study Branching Temporal Qualitative Coalitional Games with preferences. Computational Tree Logic (CTL) is used for QCGPs with complete axiomatisation of it, denoted as CTQCGPs. Further more, this paper analyses and proofs the expression power, Satisfiability and complexity of CTQCGPs.
Keywords :
computational complexity; game theory; multi-agent systems; temporal logic; trees (mathematics); CTL framework; QCG framework; branching CTQCGP complexity; computational tree logic; cooperating game; formal description; multiagent system; qualitative coalitional game-with-preference; Artificial intelligence; Computer science; Computer science education; Design methodology; Educational institutions; Educational technology; Game theory; Logic; Multiagent systems; Software quality; Artificial Intelligence; Coalition games; Modal logic; Multi-agents Systems;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.231