This paper addresses the problem of plan recognition for multiagent teams. Complex multi-agent tasks typically require dynamic teams where the team membership changes over time. T...
Abstract. In order to facilitate the development of agent-based software, several agent programming languages and architectures, have been created. Plans in these architectures are...
Reactive planning using assumptions is a well-known approach to tackle complex planning problems for nondeterministic, partially observable domains. However, assumptions may be wr...
In many real world planning scenarios, agents often do not have enough resources to achieve all of their goals. Consequently, they are forced to find plans that satisfy only a sub...
Menkes van den Briel, Romeo Sanchez Nigenda, Minh ...
We describe a domain-independent framework for plan summarization and comparison that can help a human understand both the key elements of an individual plan and important differe...