Heterogeneous Active Agents, II: Algorithms and Complexity

In Part I of this series of papers, we developed a language called Agent Programs for defining the operational behavior of software agents and defined a set of successively more satisfying (epistemically) semantics for such agent programs. In Part II of this series of papers, we study the computation price to be paid (in terms of complexity) for these epistemic desiderata. In particular, we develop algorithms for the above semantics, and describe results on their computational complexity. We show that (surprisingly) the reasonable status set semantics is the easiest to compute of the semantics proposed.