In this paper, we investigate the multiagent planning problem in the presence of cooperative actions and agents, which have their own goals and are willing to cooperate. To this en...
One of the most challenging aspects of reasoning, planning, and acting in a multi-agent domain is reasoning about what the agents know about the knowledge of their fellows, and to...
Chitta Baral, Gregory Gelfond, Tran Cao Son, Enric...
This paper continues the line of research on representing actions, on the automation of commonsense reasoning and on planning that deals with causal theories and with action langua...
In this paper we implement planning using answer set programming. We consider the action language A and its extensions. We show that when the domain is described using richer feat...
This paper shows how action theories, expressed in an extended version of the language B, can be naturally encoded using Prioritized Default Theory. We also show how prioritized d...