Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
Jan Hendrik Metzen, Mark Edgington, Yohannes Kassa...
Trust management model that we present is adapted for ubiquitous devices cooperation, rather than for classic client-supplier relationship. We use fuzzy numbers to represent trust...
An ad hoc agent environment is a way for users to interact with an ambient intelligent environment. Agents are associated with every device, service or content. Utilizing agents, ...
Abstract- Interactive combat games are useful as testbeds for learning systems employing evolutionary computation. Of particular value are games that can be modified to accommodate...
Recent advances in technology allow multi-agent systems to be deployed in cooperation with or as a service for humans. Typically, those systems are designed assuming individually ...