This collection of papers is the outcome of the work of a community of researchers in AI who, during the last twenty years, have developed the logical formalisms and methods for characterizing intelligent behaviors of agents, knowledge-based systems and processes in terms of reasoning about the environment, actions, and activities that are capable of changing the current state. The book deals with commonsense reasoning, in particular with Reiter's Default Logic formalism, the theory of actions and reasoning about actions, including formalisms for high-level robot control, and different approaches to knowledge representation, all based on symbolic logic.
It is a pleasure and an honor to be able to present this collection of papers to Ray Reiter on the occasion of his 60th birthday. To say that Ray's research has had a deep impact on the field of Artificial Intel ligence is a considerable understatement. Better to say that anyone thinking of do ing work in areas like deductive databases, default reasoning, diagnosis, reasoning about action, and others should realize that they are likely to end up proving corol laries to Ray's theorems. Sometimes studying related work makes us think harder about the way we approach a problem; studying Ray's work is as likely to make us want to drop our way of doing things and take up his. This is because more than a mere visionary, Ray has always been a true leader. He shows us how to proceed not by pointing from his armchair, but by blazing a trail himself, setting up camp, and waiting for the rest of us to arrive. The International Joint Conference on Ar tificial Intelligence clearly recognized this and awarded Ray its highest honor, the Research Excellence award in 1993, before it had even finished acknowledging all the founders of the field. The papers collected here sample from many of the areas where Ray has done pi oneering work. One of his earliest areas of application was databases, and this is re flected in the chapters by Bertossi et at. and the survey chapter by Minker.
State of the art of the most significant research in the logical foundations for both reasoning about action and commonsense reasoning of intelligent agents
Hector J. Levesque
agents artificial intelligence behavior commonsense reasoning control default logic hybrid systems knowledge knowledge representation knowledge-based system knowledge-based systems logic non-monotonic reasoning reasoning about action and chan complexity