资源论文Model Checking Multi-Agent Systems against LDLK Specifications

Model Checking Multi-Agent Systems against LDLK Specifications

2019-10-29 | |  39 |   33 |   0
Abstract We define the logic LDLK, a formalism for specifying multi-agent systems. LDLK extends LDL with epistemic modalities, including common knowledge, for reasoning about evolution of knowledge states of agents in the system. We show that the problem of verifying multi-agent systems against LDLK specifications is PSPACE-complete. We give an algorithm for practical verification of multiagent systems specified in LDLK. We show that the model checking algorithm, based on alternating automata and -NFAs, is fixed parameter tractable, scalable in the size of models analysed, and amenable to symbolic implementation on OBDDs. We introduce MCMASLDLK, an extension of the open-source model checker MCMAS implementing the algorithm presented, and discuss the experimental results obtained

上一篇:Learning Hedonic Games

下一篇:Multiple-Weight Recurrent Neural Networks

用户评价
全部评价

热门资源

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • The Variational S...

    Unlike traditional images which do not offer in...

  • Learning to learn...

    The move from hand-designed features to learned...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...