We investigate search problems under risk in statespace graphs, with the aim of finding optimal paths for risk-averse agents. We consider problems where uncertainty is due to the...
This paper investigates the impact of symbolic search for solving domain-independent action planning problems with binary decision diagrams (BDDs). Polynomial upper and exponential...
Geometrical symmetries are commonly exploited to improve the efficiency of search algorithms. We introduce a new logical symmetry in permutation state spaces which we call duality...
Uzi Zahavi, Ariel Felner, Robert Holte, Jonathan S...
We have developed a set of tools to allow the use of model-checking techniques for the verification of systems directly implemented in an agent-oriented programming language. The ...
Rafael H. Bordini, Michael Fisher, Willem Visser, ...
Many artificial intelligence techniques rely on the notion ate" as an abstraction of the actual state of the nd an "operator" as an abstraction of the actions that ...