Multi-agent systems are prone to failures typical of any distributed system. Agents and resources may become unavailable due to machine crashes, communication breakdowns, process ...
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
We will examine in this paper three crucial aspects of trust dynamics: a) How A’s trusting B and relying on it in situation can actually (objectively) influence B’s trustworth...
Self-reconfigurable or metamorphic robots can change their individual and collective shape and size to meet operational demands. Since these robots are constructed from a set of a...
Many applied problems in domains such as military operations, manufacturing, and logistics require that entities change location under certain constraints. These problems are trad...