Download Free Commonsense Reasoning An Event Calculus Based Approach Book in PDF and EPUB Free Download. You can read online Commonsense Reasoning An Event Calculus Based Approach and write the review.

To endow computers with common sense is one of the major long-term goals of artificial intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical logic. Commonsense Reasoning: An Event Calculus Based Approach is a detailed, high-level reference on logic-based commonsense reasoning. It uses the event calculus, a highly powerful and usable tool for commonsense reasoning, which Erik Mueller demonstrates as the most effective tool for the broadest range of applications. He provides an up-to-date work promoting the use of the event calculus for commonsense reasoning, and bringing into one place information scattered across many books and papers. Mueller shares the knowledge gained in using the event calculus and extends the literature with detailed event calculus solutions that span many areas of the commonsense world. The Second Edition features new chapters on commonsense reasoning using unstructured information including the Watson system, commonsense reasoning using answer set programming, and techniques for acquisition of commonsense knowledge including crowdsourcing. Drawing upon years of practical experience and using numerous examples and illustrative applications Erik Mueller shows you the keys to mastering commonsense reasoning. You’ll be able to: Understand techniques for automated commonsense reasoning Incorporate commonsense reasoning into software solutions Acquire a broad understanding of the field of commonsense reasoning. Gain comprehensive knowledge of the human capacity for commonsense reasoning
Das Buch ist die deutsche Übersetzung des Standardwerkes der Stanforder Professoren Michael R. Genesereth und Nils J. Nilsson.Im Unterschied zu deutschen Lehrbüchern der Informatik zeichnet sich das Buch dadurch aus, daß es einen gut lesbaren Überblick gibt, ohne allzu formalistisch zu werden, gleichwohl aber von hohem Niveau ist und die Ergebnisse jüngster Forschung berücksichtigt. Das Buch empfiehlt sich sowohl für Studenten und Dozenten der Inf ormatik, aber auch für Forscher aus anderen Gebieten, die von den Grundlagen der Künstlichen Intelligenz profitieren möchten.
This book contains revised and extended selected papers from two workshops: the 10th International Workshop on Agents Applied in Health Care, A2HC 2017, held at the 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017, held in São Paulo, Brazil, in May 2017, and the International Workshop on Agents and Multi-Agent Systems for AAL and e-Health, A-HEALTH 2017, held at the 15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017, in Porto, Portugal, in June 2017. The 9 revised full papers were carefully reviewed and selected from 16 submissions. They feature current research topics such as personalised health systems for remote and autonomous tele-assistance, communication and co-operation between distributed intelligent agents to manage patient care, information agents that retrieve medical information from distributed repositories, intelligent and distributed data mining, and multi-agent systems that assist the doctors in the tasks of monitoring, decision support and diagnosis.
This book features a selection of best papers from 13 workshops held at the International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017, held in Sao Paulo, Brazil, in May 2017. The 17 full papers presented in this volume were carefully reviewed and selected for inclusion in this volume. They cover specific topics, both theoretical and applied, in the general area of autonomous agents and multiagent systems.
Space and time are inextricably linked. Reasoning about space often involves reasoning about change in spatial configurations. Qualitative spatial information theory encompasses spatial as well as temporal representation and reasoning. Qualitative Spatio-Temporal Representation and Reasoning: Trends and Future Directions is a contribution to the emerging discipline of qualitative spatial information theory within artificial intelligence. This collection of research covers both theory and application-centric research and provides a comprehensive perspective on the emerging area of qualitative spatio-temporal representation and reasoning. This revolutionary new field is increasingly becoming a core issue within mobile computing, GIS/spatial information systems, databases, computer vision as well as knowledge discovery and data mining.
›Technologische Singularität‹ bezeichnet den Zeitpunkt, an dem von künstlicher Intelligenz gesteuerte Maschinen sich fortlaufend selbst so zu verbessern imstande sind, dass sie sich der Beherrschung durch Menschenhand entziehen. Der Robotikspezialist Murray Shanahan beschreibt die unterschiedlichen derzeit weltweit vorangetriebenen technologischen Entwicklungen, die zu einem solchen Ereignis führen können. Er führt auf verständliche Weise in die komplexen Forschungen ein, die unsere nächste Zukunft verändern werden. Aus der Perspektive eines Praktikers beschäftigt er sich mit der Frage, ob künstliche Intelligenz über Bewusstsein verfügen kann, und entwickelt moralische Ansätze zu einem verantwortlichen Umgang mit dieser zumeist als Katastrophenszenario gezeichneten Zukunftsfantasie.
"Shanahan gives a clear exposition of the AI problem in general and logical AI in particular. He goes on to a clear exposition of the frame problem and many approaches to its solution. Much of this will become accepted as authoritative." -- John McCarthy, Professor of Computer Science, Stanford University "The frame problem is one of the central theoretical issues of artificial intelligence, and considerable progress in the study of this problem has been made over the last years. Shanahan's book provides a clear and comprehensive treatment of this work. It will be appreciated by everyone interested in the logical foundations of artificial intelligence." -- Vladimir Lifschitz, Gottesman Family Centennial Professor in Computer Sciences, University of Texas at Austin In 1969, John McCarthy and Pat Hayes uncovered a problem that has haunted the field of artificial intelligence ever since--the frame problem. The problem arises when logic is used to describe the effects of actions and events. Put simply, it is the problem of representing what remains unchanged as a result of an action or event. Many researchers in artificial intelligence believe that its solution is vital to the realization of the field's goals. "Solving the Frame Problem" presents the various approaches to the frame problem that have been proposed over the years. The author presents the material chronologically--as an unfolding story rather than as a body of theory to be learned by rote. There are lessons to be learned even from the dead ends researchers have pursued, for they deepen our understanding of the issues surrounding the frame problem. In the book'sconcluding chapters, the author offers his own work on event calculus, which he claims comes very close to a complete solution to the frame problem. "Artificial Intelligence series"

Best Books

DMCA - Contact