Abstract. One of the most difficult problems in multiagent systems involves representing knowledge and beliefs of agents in dynamic environments. New perceptions modify an agent’...
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
The problem of test generation belongs to the class of NP-complete problems and it is becoming more and more di cult as the complexity of VLSI circuits increases, and as long as e...
Dilip Krishnaswamy, Michael S. Hsiao, Vikram Saxen...
We extend the alternating-time temporal logics ATL and ATL with strategy contexts and memory constraints: the first extension makes strategy quantifiers to not “forget” the s...
Thomas Brihaye, Arnaud Da Costa Lopes, Franç...
Abstract. Variables and constraints in problem domains are often distributed. These distributed constraint satisfaction problems (DCSPs) lend themselves to multiagent solutions. Mo...