Coalition Alternating-Time Temporal Logic: A Logic to Find Good Coalitions to Achieve Strategic Objectives
Conference Paper
Publication Date:
2024
Short description:
Coalition Alternating-Time Temporal Logic: A Logic to Find Good Coalitions to Achieve Strategic Objectives / Catta, D.; Ferrando, A.; Malvone, V.. - 14546 LNAI:(2024), pp. 72-94. ( Agents and Artificial Intelligence: 15th International Conference Lisbon February 22-24, 2023) [10.1007/978-3-031-55326-4_4].
abstract:
Alternating-time Temporal Logic (ATL) extends the temporal logic CTL, permitting quantification over coalitions of agents. During the model checking process, the coalitions defined in a given formula are predetermined, operating under the assumption that the user possesses knowledge about the specific coalitions under exam. However, this presumption is not universally applicable. The outcome of this paper is twofold. Initially, we introduce CATL, a modified version of ATL which empowers users to define coalition quantifiers based on two key attributes: the number of agents involved within the coalitions and the methodology for grouping these agents. Subsequently, we show the incorporation of CATL into MCMAS, a widely recognized tool dedicated to ATL model checking. Additionally, we provide details of this extension accompanied by empirical experiments.
Iris type:
Relazione in Atti di Convegno
Keywords:
Logics for strategic reasoning; Alternating-time Temporal logic; Coalition of agents; Formal verification
List of contributors:
Catta, D.; Ferrando, A.; Malvone, V.
Book title:
Agents and Artificial Intelligence: 15th International Conference
Published in: