Rational decision making requires full knowledge of the utility function of the person affected by the decisions. However, in many cases, the task of acquiring such knowledge is n...
Hierarchical state machines are finite state machines whose states themselves can be other machines. In spite of their popularity in many modeling tools for software design, very l...
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are a popular approach for modeling multi-agent systems acting in uncertain domains. Given the signi...
Pradeep Varakantham, Janusz Marecki, Yuichi Yabu, ...
Holonic and agent-based paradigms are very suitable in the development of distributed manufacturing control systems, taking advantage of their modularity, decentralization, and abi...
Emerging Web services standards enable the development of large-scale applications in open environments. In particular, they enable services to be dynamically bound. However, curr...