Logics for multi-agent systems: a critical overview
IRIT, University of Toulouse and National Center for Scientific Research (CNRS)
Formal models for multi-agent systems (MAS) have been introduced and studied in various areas, not only in distributed systems and AI, but also in economics and the social sciences. I will focus on logical models of the central concepts of knowledge, belief, time, and action, and will give an overview of the existing logics for MAS from a knowledge representation point of view. I will classify various MAS logics according to the epistemic and the action dimension, distinguishing individual and group action and individual and group knowledge. I will highlight problematic aspects of each of the standard accounts, including frame axioms, strategy contexts and uniform strategies.
Andreas Herzig is a senior researcher at the French National Center for Scientific Research (CNRS) and works at the the Toulouse Computer Science Research Institute (IRIT). He studied computer science in Darmstadt and Toulouse and obtained a Ph.D. (1989) and a habilitation (1999) in Computer Science, both from Paul Sabatier University in Toulouse. He works at CNRS since 1990.
Andreas's main research topic is the investigation of logical models of interaction, with a focus on logics for reasoning about knowledge, belief, time, action, intention and obligation, and the development of theorem proving methods for them. He currently investigates the integration of logics of belief and group belief with theories of action, in particular in the framework of dynamic epistemic logics.