Session details: Agent planning and search

this paper describes a multiagent planning system, MuPAC, that formulates cooperative plans efficiently. It contains three features: meta-level planning, breakable and unbreakable action representations, and an integrated agent screening and assignment ...

This paper provides a general mechanism and a solid theoretical basis for performing planning within Belief-Desire-Intention (BDI) agents. BDI agent systems have emerged as one of the most widely used approaches to implementing intelligent behaviour in ...

If the complexity of planning for a single agent is described by some function f of the input, how much more difficult is it to plan for a team of n cooperating agents? If these agents are completely independent, we can simply solve n single agent ...