Steunebrink Bas (22 results)

Hardback. Condition: New. 1st ed. 2022. Humans have always dreamed of automating laborious physical and intellectual tasks, but the latter has proved more elusive than naively suspected. Seven decades of systematic study of Artificial Intelligence have witnessed cycles of hubris and despair. The successful realization of General Intelligence (evidenced by the kind of cross-domain flexibility enjoyed by humans) will spawn an industry worth billions and transform the range of viable automation tasks.The recent notable successes of Machine Learning has lead to conjecture that it might be the appropriate technology for delivering General Intelligence. In this book, we argue that the framework of machine learning is fundamentally at odds with any reasonable notion of intelligence and that essential insights from previous decades of AI research are being forgotten. We claim that a fundamental change in perspective is required, mirroring that which took place in the philosophy of science in the mid 20th century. We propose a framework for General Intelligence, together with a reference architecture that emphasizes the need for anytime bounded rationality and a situated denotational semantics. We given necessary emphasis to compositional reasoning, with the required compositionality being provided via principled symbolic-numeric inference mechanisms based on universal constructions from category theory.Details the pragmatic requirements for real-world General Intelligence.Describes how machine learning fails to meet these requirements.Provides a philosophical basis for the proposed approach.Provides mathematical detail for a reference architecture.Describes a research program intended to address issues of concern in contemporary AI.The book includes an extensive bibliography, with 400 entries covering the history of AI and many related areas of computer science and mathematics.The target audience is the entire gamut of Artificial Intelligence/Machine Learning researchers and industrial practitioners. There are a mixture of descriptive and rigorous sections, according to the nature of the topic. Undergraduate mathematics is in general sufficient. Familiarity with category theory is advantageous for a complete understanding of the more advanced sections, but these may be skipped by the reader who desires an overall picture of the essential conceptsThis is an open access book.

Condition: New. In.

Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Condition: As New. Unread book in perfect condition.

Condition: New. In.

PF. Condition: New.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Hardback. Condition: New. 1st ed. 2022. Humans have always dreamed of automating laborious physical and intellectual tasks, but the latter has proved more elusive than naively suspected. Seven decades of systematic study of Artificial Intelligence have witnessed cycles of hubris and despair. The successful realization of General Intelligence (evidenced by the kind of cross-domain flexibility enjoyed by humans) will spawn an industry worth billions and transform the range of viable automation tasks.The recent notable successes of Machine Learning has lead to conjecture that it might be the appropriate technology for delivering General Intelligence. In this book, we argue that the framework of machine learning is fundamentally at odds with any reasonable notion of intelligence and that essential insights from previous decades of AI research are being forgotten. We claim that a fundamental change in perspective is required, mirroring that which took place in the philosophy of science in the mid 20th century. We propose a framework for General Intelligence, together with a reference architecture that emphasizes the need for anytime bounded rationality and a situated denotational semantics. We given necessary emphasis to compositional reasoning, with the required compositionality being provided via principled symbolic-numeric inference mechanisms based on universal constructions from category theory.Details the pragmatic requirements for real-world General Intelligence.Describes how machine learning fails to meet these requirements.Provides a philosophical basis for the proposed approach.Provides mathematical detail for a reference architecture.Describes a research program intended to address issues of concern in contemporary AI.The book includes an extensive bibliography, with 400 entries covering the history of AI and many related areas of computer science and mathematics.The target audience is the entire gamut of Artificial Intelligence/Machine Learning researchers and industrial practitioners. There are a mixture of descriptive and rigorous sections, according to the nature of the topic. Undergraduate mathematics is in general sufficient. Familiarity with category theory is advantageous for a complete understanding of the more advanced sections, but these may be skipped by the reader who desires an overall picture of the essential conceptsThis is an open access book.

Paperback. Condition: Brand New. 347 pages. 9.25x6.10x0.85 inches. In Stock.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 9th International Conference on Artificial General Intelligence, AGI 2016, held in New York City, NY, USA, in July 2016 as part of HLAI 2016, the Joint Multi-Conference on Human-Level Artificial Intelligence 2016. The 24 full papers, 2 short papers, and 10 poster papers presented were carefully reviewed and selected from 67 submissions. AGI research differs from the ordinary AI research by stressing on the versatility and wholeness of intelligence, and by carrying out the engineering practice according to an outline of a system comparable to the human mind inSelf a certain sense.

Taschenbuch. Condition: Neu. Artificial General Intelligence | 9th International Conference, AGI 2016, New York, NY, USA, July 16-19, 2016, Proceedings | Bas Steunebrink (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xi | Englisch | 2016 | Springer | EAN 9783319416489 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 9th International Conference on Artificial General Intelligence, AGI 2016, held in New York City, NY, USA, in July 2016 as part of HLAI 2016, the Joint Multi-Conference on Human-Level Artificial Intelligence 2016. The 24 full papers, 2 short papers, and 10 poster papers presented were carefully reviewed and selected from 67 submissions. AGI research differs from the ordinary AI research by stressing on the versatility and wholeness of intelligence, and by carrying out the engineering practice according to an outline of a system comparable to the human mind inSelf a certain sense. 376 pp. Englisch.

Condition: new. Questo è un articolo print on demand.

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Details the pragmatic requirements for real-world General IntelligenceProvides a philosophical basis for the proposed approachProvides mathematical detail for a reference architectureThis book is open access, which means that you hav.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the refereed proceedings of the 9th International Conference on Artificial General Intelligence, AGI 2016, held in New York City, NY, USA, in July 2016 as part of HLAI 2016, the Joint Multi-Conference on Human-Level Artificial Intel.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Self modification of policy and utility function in rational agents.- Avoiding wireheading with value reinforcement learning.- Death and suicide in universal Artificial Intelligence.- Ultimate Intelligence: Physical complexity and limits of inductive systems.- Open ended intelligence.- The AGI containment problem.- Imitation learning as cause-effect reasoning.- Some theorems in incremental compression.- Rethinking sigma's graphical architecture: An extension to neural networks.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 376 pp. Englisch.

Condition: New. Print on Demand pp. 375.

Condition: New. PRINT ON DEMAND pp. 375.