Die Wissenschaften vom Künstlichen von Herbert A. Simon gilt seit dem Erscheinen der ersten Ausgabe im Jahr 1969 als "Klassiker" der Literatur zum Thema Künstliche Intelligenz. Simon hat zusammen mit den Computerwissenschaftlern Allen Newell, Marvin Minsky und John McCarthy Mitte der fünfziger Jahre das so bezeichnete - von Alan Turing antizipierte - Forschungsgebiet der Computerwissenschaft und der Psychologie ins Leben gerufen. Seine herausragende, allgemeinverständliche Darstellung von Grundüberlegungen und philosophischen Aspekten der Künstlichen Intelligenz ist heute aktueller denn je, nicht nur wegen der ständig zunehmenden Bedeutung der Forschung und Entwicklung auf diesem Gebiet, sondern auch aufgrund des verbreiteten Mangels an Grundkenntnissen für eine kritische Auseinandersetzung mit der Künstlichen Intelligenz.
Die Wissenschaften vom KA1/4nstlichen von Herbert A. Simon gilt seit dem Erscheinen der ersten Ausgabe im Jahr 1969 als "Klassiker" der Literatur zum Thema KA1/4nstliche Intelligenz. Simon hat zusammen mit den Computerwissenschaftlern Allen Newell, Marvin Minsky und John McCarthy Mitte der fA1/4nfziger Jahre das so bezeichnete - von Alan Turing antizipierte - Forschungsgebiet der Computerwissenschaft und der Psychologie ins Leben gerufen. Seine herausragende, allgemeinverstAndliche Darstellung von GrundA1/4berlegungen und philosophischen Aspekten der KA1/4nstlichen Intelligenz ist heute aktueller denn je, nicht nur wegen der stAndig zunehmenden Bedeutung der Forschung und Entwicklung auf diesem Gebiet, sondern auch aufgrund des verbreiteten Mangels an Grundkenntnissen fA1/4r eine kritische Auseinandersetzung mit der KA1/4nstlichen Intelligenz.
Continuing his exploration of the organization of complexity and the science of design, this new edition of Herbert Simon's classic work on artificial intelligence adds a chapter that sorts out the current themes and tools—chaos, adaptive systems, genetic algorithms—for analyzing complexity and complex systems. There are updates throughout the book as well. These take into account important advances in cognitive psychology and the science of design while confirming and extending the book's basic thesis: that a physical symbol system has the necessary and sufficient means for intelligent action. The chapter "Economic Reality" has also been revised to reflect a change in emphasis in Simon's thinking about the respective roles of organizations and markets in economic systems.
Creativity is one of the least understood aspects of intelligence and is often seen as `intuitive' and not susceptible to rational enquiry. Recently, however, there has been a resurgence of interest in the area, principally in artificial intelligence and cognitive science, but also in psychology, philosophy, computer science, logic, mathematics, sociology, and architecture and design. This volume brings this work together and provides an overview of this rapidly developing field. It addresses a range of issues. Can computers be creative? Can they help us to understand human creativity? How can artificial intelligence (AI) enhance human creativity? How, in particular, can it contribute to the `sciences of the artificial', such as design? Does the new wave of AI (connectionism, geneticism and artificial life) offer more promise in these areas than classical, symbol-handling AI? What would the implications be for AI and cognitive science if computers could not be creative? These issues are explored in five interrelated parts, each of which is introducted and explained by a leading figure in the field. - Prologue (Margaret Boden) - Part I: Foundational Issues (Terry Dartnall) - Part II: Creativity and Cognition (Graeme S. Halford and Robert Levinson) - Part III: Creativity and Connectionism (Chris Thornton) - Part IV: Creativity and Design (John Gero) - Part V: Human Creativity Enhancement (Ernest Edmonds) - Epilogue (Douglas Hofstadter) For researchers in AI, cognitive science, computer science, philosophy, psychology, mathematics, logic, sociology, and architecture and design; and anyone interested in the rapidly growing field of artificial intelligence and creativity.
Victor Margolin,Richard Buchanan,Richard H. Buchanan,Professor of Design Management & Information Systems George Richard Buchanan
Author: Victor Margolin,Richard Buchanan,Richard H. Buchanan,Professor of Design Management & Information Systems George Richard Buchanan
Publisher: MIT Press
An anthology of essays addressing the nature and practice of contemporary product and graphic design, selected from volumes four through nine of the international journal Design Issues. Themes include reflection on the nature of design, the meaning of products, and the place of design in world culture. Includes b & w photos and illustrations. c. Book News Inc.
Die Nobelpreis-Schmiede Massachusetts Institute of Technology ist der bedeutendste technologische Think Tank der USA. Dort arbeitet Professor Max Tegmark mit den weltweit führenden Entwicklern künstlicher Intelligenz zusammen, die ihm exklusive Einblicke in ihre Labors gewähren. Die Erkenntnisse, die er daraus zieht, sind atemberaubend und zutiefst verstörend zugleich. Neigt sich die Ära der Menschen dem Ende zu? Der Physikprofessor Max Tegmark zeigt anhand der neusten Forschung, was die Menschheit erwartet. Hier eine Auswahl möglicher Szenarien: - Eroberer: Künstliche Intelligenz übernimmt die Macht und entledigt sich der Menschheit mit Methoden, die wir noch nicht einmal verstehen. - Der versklavte Gott: Die Menschen bemächtigen sich einer superintelligenten künstlichen Intelligenz und nutzen sie, um Hochtechnologien herzustellen. - Umkehr: Der technologische Fortschritt wird radikal unterbunden und wir kehren zu einer prä-technologischen Gesellschaft im Stil der Amish zurück. - Selbstzerstörung: Superintelligenz wird nicht erreicht, weil sich die Menschheit vorher nuklear oder anders selbst vernichtet. - Egalitäres Utopia: Es gibt weder Superintelligenz noch Besitz, Menschen und kybernetische Organismen existieren friedlich nebeneinander. Max Tegmark bietet kluge und fundierte Zukunftsszenarien basierend auf seinen exklusiven Einblicken in die aktuelle Forschung zur künstlichen Intelligenz.
Not long ago, Artificial Intelligence (AI) only existed in the realm of science fiction. Today, it’s a reality and is only growing more prominent each day, spreading across both every imaginable industry and countries around the world. But what is the number one AI modern person interacting with on a daily basis? The Internet. While search engine technology has been around for a few years, page-rank algorithms have been revolutionized by the introduction of AI technologies. Because this trend will continue into the foreseeable future, and become increasingly more important as the years go on, any digital marketer, small business owner, or social media user needs to know how it all works—and how you can use it to your advantage. In The Future of Artificial Intelligence in Digital Marketing, you will dive into the details of artificial intelligence (AI) and how it has dramatically affected digital marketing. Documenting the advancement of AI digital marketing, The Future of Artificial Intelligence in Digital Marketing offers proven solutions to mastering digital processes and search engines. The importance of applying empathic machines in digital marketing can’t be overstated—nor can the benefits of using humanized AI digital marketing. Revolutionize your digital marketing world with The Future of Artificial Intelligence in Digital Marketing.
The issues of 'intelligent' computer fraud, copyright of software, data protection, and the legal liability of producers of intelligent and nonintelligent software are causing concern for academic and commercial communities alike. This volume interrelates law, computer science and AI, and considers ways in which they will impact upon each other in the future.
Emerging from the world of commercial art and product styling, design has now become completely integrated into human life. Its marks are all around us, from the chairs we sit on to the Web sites on our computer screens. One of the pioneers of design studies and still one of its most distinguished practitioners, Victor Margolin here offers a timely meditation on design and its study at the turn of the millennium and charts new directions for the future development of both fields. Divided into sections on the practice and study of design, the essays in The Politics of the Artificial cover such topics as design history, design research, design as a political tool, sustainable design, and the problems of design's relation to advanced technologies. Margolin also examines the work of key practitioners such as the matrix designer Ken Isaacs. Throughout the book Margolin demonstrates the underlying connections between the many ways of reflecting on and practicing design. He argues for the creation of an international, interdisciplinary field of design research and proposes a new ethical agenda for designers and researchers that encompasses the responsibility to users, the problems of sustainability, and the complicated questions of how to set boundaries for applying advanced technology to solve the problems of human life. Opinionated and erudite, Victor Margolin's The Politics of the Artificial breaks fresh ground in its call for a new approach to design research and practice. Designers, engineers, architects, anthropologists, sociologists, and historians will all benefit from its insights.
Author: William J. Clancey,Stephen W. Smoliar,Mark Stefik
Publisher: MIT Press
One place where the scientific debate has been written for a broad audience is in the book review column of the international journal Artificial Intelligence, which has evolved from simple reviews to a multidisciplinary forum where reviewers and authors debate the latest, often competing, theories of human and artificial intelligence.
Comprehensive survey of artificial intelligence -- the study of how computers can be made to act intelligently. Includes introductory and advanced material. Extensive notes updating the main text. 132 illustrations.
Bradford Complex Adaptive Systems,International Workshop on the Synthesis and Simulation of Living Systems
From Philosophy to Psychology to Artificial Intelligence to Imaging of the Brain
Author: Morton Wagman
Publisher: Praeger Publishers
A scholarly examination of the centrality of the mind-body problem within and across the science of cognition--from philosophy to psychology to artificial intelligence to neural science. Conceptions of the mind-body problem range from the heritage of Cartesianism to the identification of the circumscribed brain structures responsible for domain specific cognitive mechanisms. Neither narrowly technical nor philosophically vague, this is a structured and detailed account of advancing intellectual developments in theory, research, and knowledge illumined by the conceptual vicissitudes of the mind-body problem. This unique treatment will be of special interest to creative scholars in the disciplines of he sciences of cognition.
Olivier Houdé,Daniel Kayser,Olivier Koenig,Director of Research at Fondation Pierre-Gilles de Gennes Pour La Recherche Joelle Proust,Joëlle Proust,François Rastier
Neuroscience, Psychology, Artificial Intelligence, Linguistics, and Philosophy
Author: Olivier Houdé,Daniel Kayser,Olivier Koenig,Director of Research at Fondation Pierre-Gilles de Gennes Pour La Recherche Joelle Proust,Joëlle Proust,François Rastier
A translation of the renowned French reference book, Vocabulaire de sciences cognitives , the Dictionary of Cognitive Science presents comprehensive definitions in more than 120 subjects. Topics range from 'Abduction' to 'Writing', and each entry is covered from as many perspectives as possible within the domains of psychology, artificial intelligence, neuroscience, philosophy, and linguistics. The editor and his advisory board, each a specialist in one of these areas, have brought together 60 internationally recognized scholars to give the reader a comprehensive understanding of the most current and dynamic thinking in the cognitive sciences.
Sequential Decisions Based on Algorithmic Probability
Author: Marcus Hutter
Publisher: Springer Science & Business Media
Personal motivation. The dream of creating artificial devices that reach or outperform human inteUigence is an old one. It is also one of the dreams of my youth, which have never left me. What makes this challenge so interesting? A solution would have enormous implications on our society, and there are reasons to believe that the AI problem can be solved in my expected lifetime. So, it's worth sticking to it for a lifetime, even if it takes 30 years or so to reap the benefits. The AI problem. The science of artificial intelligence (AI) may be defined as the construction of intelligent systems and their analysis. A natural definition of a system is anything that has an input and an output stream. Intelligence is more complicated. It can have many faces like creativity, solving prob lems, pattern recognition, classification, learning, induction, deduction, build ing analogies, optimization, surviving in an environment, language processing, and knowledge. A formal definition incorporating every aspect of intelligence, however, seems difficult. Most, if not all known facets of intelligence can be formulated as goal driven or, more precisely, as maximizing some utility func tion. It is, therefore, sufficient to study goal-driven AI; e. g. the (biological) goal of animals and humans is to survive and spread. The goal of AI systems should be to be useful to humans.
Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving systems with sophisticated collective intelligence. Composed of simple interacting agents, this intelligence lies in the networks of interactions among individuals and between individuals and the environment. A fascinating subject, social insects are also a powerful metaphor for artificial intelligence, and the problems they solve--finding food, dividing labor among nestmates, building nests, responding to external challenges--have important counterparts in engineering and computer science. This book provides a detailed look at models of social insect behavior and how to apply these models in the design of complex systems. The book shows how these models replace an emphasis on control, preprogramming, and centralization with designs featuring autonomy, emergence, and distributed functioning. These designs are proving immensely flexible and robust, able to adapt quickly to changing environments and to continue functioning even when individual elements fail. In particular, these designs are an exciting approach to the tremendous growth of complexity in software and information. Swarm Intelligence draws on up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots. The book will be an invaluable resource for a broad range of disciplines.
Part II: Biology, Psychology, Cognitive Science and Economics Essays in Honor of Hugues Leblanc
Author: Mathieu Marion,Robert S. Cohen
Publisher: Springer Science & Business Media
By North-American standards, philosophy is not new in Quebec: the first men tion of philosophy lectures given by a Jesuit in the College de Quebec (founded 1635) dates from 1665, and the oldest logic manuscript dates from 1679. In English-speaking universities such as McGill (founded 1829), philosophy began to be taught later, during the second half of the 19th century. The major influence on English-speaking philosophers was, at least initially, that of Scottish Empiricism. On the other hand, the strong influence of the Catholic Church on French-Canadian society meant that the staff of the facultes of the French-speaking universities consisted, until recently, almost entirely of Thomist philosophers. There was accordingly little or no work in modern Formal Logic and Philosophy of Science and precious few contacts between the philosophical communities. In the late forties, Hugues Leblanc was a young student wanting to learn Formal Logic. He could not find anyone in Quebec to teach him and he went to study at Harvard University under the supervision of W. V. Quine. His best friend Maurice L' Abbe had left, a year earlier, for Princeton to study with Alonzo Church. After receiving his Ph. D from Harvard in 1948, Leblanc started his profes sional career at Bryn Mawr College, where he stayed until 1967. He then went to Temple University, where he taught until his retirement in 1992, serving as Chair of the Department of Philosophy from 1973 until 1979.