Robots are autonomous agents whose actions are performed in the real world during a period of time. There are a number of general constraints on such actions, for example that the ...
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
Abstract. We provide a formal scripting language to capture the semantics of market mechanisms. The language is based on a set of welldefined principles, and is designed to captur...
Multiagent planning deals with the problem of generating plans for multiple agents. It requires formalizing ways for the agents to interact and cooperate, in order to achieve their...
Delegation is a foundational concept for understanding and engineering systems that interact and execute tasks autonomously. By extending recent work on tensed action logic, it be...