Affiliations: Institute of Informatics, Warsaw University, Warsaw,
Poland and Polish Academy of Sciences, Warsaw, Poland.
E-mail: [email protected] | Institute of Informatics, Warsaw University, Warsaw,
Poland. E-mail: [email protected] | Institute of Informatics, Warsaw University, Warsaw,
Poland and Department of Computer and Information Science
Linköping University, Sweden. E-mail: [email protected]
Abstract: In natural language we often use graded concepts, reflecting
different intensity degrees of certain features. Whenever such concepts appear
in a given real-life context, they need to be appropriately expressed in its
models. In this paper, we provide a framework which allows for extending the
BGI model of agency by grading beliefs, goals and intentions. We concentrate on
TEAMLOG [6, 7, 8, 9, 12] and provide a complexity-optimal decision method for
its graded version TEAMLOG^K by translating it into CPDL_{reg} (propositional
dynamic logic with converse and "inclusion axioms"
characterized by regular languages). We also develop a tableau calculus which
leads to the first EXPTIME (optimal) tableau decision procedure for CPDL_{reg}. As
CPDL_{reg} is suitable for expressing complex properties of graded operators, the
procedure can also be used as a decision tool for other multiagent formalisms.
