ARTificial Intelligence

As the concept of the ‘brain as computer’ (and thus our ability to mimic it technologically) becomes more problematic, artificial intelligence needs redefining, a task this volume supports from varied

Discusses the importance of developing critical-thinking methods and skills, and using well-known artificial intelligence problems, develops a consistent approach to solving each problem using methods

"With the considerable increase of AI applications, AI is being increasingly used to solve optimization problems in engineering. In the past two decades, the applications of artificial intelligence in

As the concept of the ‘brain as computer’ (and thus our ability to mimic it technologically) becomes more problematic, artificial intelligence needs redefining, a task this volume supports from varied

Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation. Nowadays at the information age, it is hard to imagine how the world would

This book constitutes the refereed proceedings of the 12th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2010, held in Bahia Blanca, Argentina, in November 2010. The 61 papers present

This book constitutes the proceedings of the 20th Brazilian Symposium on Artificial Intelligence, SBIA 2010, held in Sao Bernardo do Campo, Brazil, in October 2010. The 31 papers presented were carefu

Rondeau (Institute for Defense Analyses' Center for Communications Research at Princeton) and Bostian (electrical and computer engineering, Virginia Polytechnic Institute and State U.) describe and ex

The purpose of the 10th Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2009) to be held on May 27 – 29, 2009 in Daegu, Korea is to bri

Computer games are often played by a human player against an artificial intelligence software entity. Charles (University of Ulster, Ireland) reviews several strands of modern artificial intelligence

Artificial intelligence is not just about making machines think; it is also a powerful problem-solving tool. Many scientific problems can be solved only with difficulty using conventional methods, yet

The broad range of material included in these volumes suggests to the newcomer the nature of the field of artificial intelligence, while those with some background in AI will appreciate the detailed c

This collection of over 40 milestone contributions presents the latest state-of-the art research emerging from one of the worlds foremost centers for Artificial Intelligence. The topics range from imm

What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky’s Artificial Intelligence: A Guide to Intelligent Systems.Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.TABLE OF CONTENTS1. Introduction to Intelligent Systems 1.1 Intelligent Machines, or What Machines Can Do 1.2 The History of Artificial Intelligence, or From the ‘Dark Ages’ to Knowledge-based Systems 1.3 Generative AI 1.4 Summary Questions fo

The two volume set LNAI 9413 + 9414 constitutes the proceedings of the 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, held in Cuernavaca,. Morelos, Mexico, in Octobe

Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms. It is a critical branch of cognitive science, and its influence is increasingly being felt in other areas, including the humanities. AI applications are transforming the way we interact with each other and with our environment, and work in artificially modeling intelligence is offering new insights into the human mind and revealing new forms mentality can take. This volume of original essays presents the state of the art in AI, surveying the foundations of the discipline, major theories of mental architecture, the principal areas of research, and extensions of AI such as artificial life. With a focus on theory rather than technical and applied issues, the volume will be valuable not only to people working in AI, but also to those in other disciplines wanting an authoritative and up-to-date introduction to the field.

Half a century of research has resulted in machines capable of beating the best human chess players and humanoid robots that can interact. But can machines really think? Is the mind just a complicated

The purpose of the 12th Conference Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2011) held on July 6-8, 2011 in Sydney, Australia was to bring tog