Abstract. The task addressed here is a dynamic search through a bounded region, while avoiding multiple large obstacles, such as buildings. In the case of limited sensors and commu...
Wesley Kerr, Diana F. Spears, William M. Spears, D...
Since its inception, arti cial intelligence has relied upon a theoretical foundation centred around perfect rationality as the desired property of intelligent systems. We argue, a...
Stuart J. Russell, Devika Subramanian, Ronald Parr
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
The aim of our research is to provide a unified model for the composition and management of consumer care services. We identify design, composition, distribution and management as...
Kumari Wickramasinghe, Christian Guttmann, Michael...
In this paper we propose interaction-driven Markov games (IDMGs), a new model for multiagent decision making under uncertainty. IDMGs aim at describing multiagent decision problem...