Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 3: Nonmonotonic Reasoning and Uncertain Reasoning

‘The standard of exposition is always high; some of the chapters are a delight to read. All parts of the Handbook should be accessible to anyone with a graduate course level background in logic; in some cases even less will suffice … the editors’ choice is very reasonable and the contributors have also made fair use of their freedom to emphasize what they believe is important. The novice will not be let astray if she follows the paths cut through thejungle of current research. For the expert the volumes provides reliable surveys and useful teaching aids. The Handbook promises to become a unique collection of some of the finest work in AI.‘André Fuhrmann, University of Konstanz, Studia Logica`three volumes of the handbook of Logic in Artificial Intelligence and Logic Programming represent a detailed and comprehensive exposition of the theoretical and computational features of a wide variety of classical and non-classical logics … the Handbook can be unreservedly recommended to AI practitionrs with proficiency in logic and commitment to its role in the development of AI systems’Maria Fox, University College, London, The Computer Journal, Vol. 37, No. 9, 1994

Dov M. Gabbay is at Imperial College of Science, Technology and Medicine.

C. J. Hogger is at Imperial College of Science, Technology and Medicine.