Multi-agent logics with interacting agents based on linear temporal logic: Deciding algorithms

Описание

Тип публикации: статья из журнала (материалы конференций, опубликованные в журналах)

Год издания: 2008

Идентификатор DOI: 10.1007/978-3-540-69731-2_116

Ключевые слова: Decidability algorithms, Hybrid logics, Knowledge based reasoning, Multi-agent logic, Relational Kripke/Hintikka models, Agents, Artificial intelligence, Boolean functions, Chlorine compounds, Cybernetics, Information theory, Multi agent systems, Recursive functions, Soft computing, Temporal logic, Theorem proving, Distributed knowledge, Exponential size, Global knowledge, Interacting agents, International conferences, Linear temporal logics, Multi agents, Reduced forms, Satisfiability problem, Time clustering, Time points, Variations of, Computability and decidability

Аннотация: We introduce a multi-agent logic - a variant of the linear temporal logic LTL with embedded multi-agent knowledge with interacting agents. The logic is motivated by semantics based on potentially infinite runs with time points represented by clusters of states with distributed knowledge of the agents. We address properties of localПоказать полностьюand global knowledge modeled in this framework, consider modeling of interaction between agents by possibility to puss information from one agent to others via possible transitions within time clusters of states. Main question we are focused on is the satisfiability problem and decidability of the logic . Key result is proposed algorithm which recognizes theorems of (so we show that is decidable). It is based on verification of validity for special normal reduced forms of rules in models with at most triple exponential size in the testing rules. In the final part we discuss possible variations of the proposed logic. © 2008 Springer-Verlag Berlin Heidelberg.

Ссылки на полный текст

Издание

Журнал: (22 June 2008 through 26 June 2008, Zakopane

Выпуск журнала: Vol. 5097 LNAI

Номера страниц: 1243-1253

Персоны

Вхождение в базы данных