Logic based artificial intelligence (22 Ergebnisse)

From Standard Logic to Logic Programming: Introducing a Logic Based Approach to Artificial Intelligence
Paul Gochet; Eric Grégoire; Pascal Gribomont; Guy Hulin; Alain Pirotte; Dominique Roelants; Dominique Snyers; André Thayse; Marc Vauclair; Pierre Wolper
- Softcover
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Paperback. Zustand: Fair. No Jacket. Former library book; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

From Standard Logic to Logic Programming Introducing a Logic Based Approach to Artificial Intelligence
Paul Gochet And Eric Gr & Eacute; Goire And Pascal Gribomont And Guy Hulin And Alain Pirotte And Dominique Roelants And Dominique Snyers And Andr & Eacute; Thayse And Marc Vauclair And Pierre Wolper
- Softcover
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Paperback. Zustand: Good+. Foxing to exterior edge of pages. Spill stain to edge of pages. - Great overall condition. Minor cosmetic wear. No noteworthy blemishes. No writing.; - We offer free returns for any reason and respond promptly to all inquiries. Your order will be packaged with care and ship on the same or next business day. Buy with confidence.…

From Natural Language Processing to Logic for Expert Systems (Logic Based Approach to Artificial Intelligence)
Jean-Louis Binot; Albert Bruffaerts; Philippe Delsarte; Eric Dubois; Pierre Dupont; Jacques Hagelstein; Eric Henin; Yves Kamp; Axel van Lamsweerde; Frank van der Linden; Jean-Pierre Müller; André Rifaut; Dominique Snyers; André Thayse
- Softcover
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Paperback. Zustand: Good. Zustand des Schutzumschlags: No d/j as Published. Type: Book N.B. Small plain label to inside front cover. Large crease to rear cover. Light rubbing to corners of covers and spine.

From Standard Logic to Logic Programming: Introducing a Logic-based Approach to Artificial Intelligence
Paul Gochet; Eric Grégoire; Pascal Gribomont; Guy Hulin; Alain Pirotte; Dominique Roelants; Dominique Snyers; André Thayse; Marc Vauclair; Pierre Wolper
- Softcover
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Paperback. Zustand: Good. Zustand des Schutzumschlags: No d/j as Published. Type: Book Small plain label inside cover.

From Modal Logic to Deductive Databases: Introducing a Logic Based Approach to Artificial Intelligence
Paul Gochet; Eric Grégoire; Pascal Gribomont; Guy Hulin; Alain Pirotte; Dominique Roelants; Dominique Snyers; André Thayse; Marc Vauclair; Pierre Wolper
- Softcover
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Paperback. Zustand: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

From Modal Logic to Deductive Databases: Introducing a Logic Based Approach to Artificial Intelligence
Paul Gochet; Eric Grégoire; Pascal Gribomont; Guy Hulin; Alain Pirotte; Dominique Roelants; Dominique Snyers; André Thayse; Marc Vauclair; Pierre Wolper
- Softcover
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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

- Softcover
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Softcover. 380 p. Good condition. Reading pages are clean and without marks. Retired library exemplar, with the usual marking. Book shows slight signs of storage and usage. Front cover with light scratch marks. Still good copy. 9780471923459 Sprache: Englisch Gewicht in Gramm: 1000.

- Softcover
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Taschenbuch. Zustand: Neu. Neuware - Stop Counting Services. Start Measuring Human Progress.What if we measured social impact with the same rigor used to track financial returns For decades, the social sector has been stuck in the 'Output Trap'-counting beds filled and meals served without proving if lives actually improved. In an era of tightening budgets and the 2026 mandate for fiscal accountability, 'headcounts' are no longer enough. If progress isn't measurable, it isn't fundable.In this groundbreaking second edition, social impact expert Quisha M. Brown introduces the Progressive Outcomes Scale Logic Model (POSLM). This technical manual provides a stage-based methodology to establish a Universal Social Impact Currency (USIC)-making human advancement measurable, comparable, and investable.The Architect's Bonus: 30-Minute Technical Logic AuditYour purchase includes an exclusive invitation to a private, 30-minute Technical Logic Audit with the author. This is not a general brainstorm, but a professional opportunity to have Quisha Brown review your stage-based indicators, audit your AI prompts, and verify your SROI calculations. Instructions for booking your session are located inside the book.Inside This Technical Manual, You Will Learn To: - Implement the POSLM: Capture human progress across 5 distinct stages of growth.- Establish a Universal Currency: Standardize outcomes across various social welfare programs (i.e. Medicaid, Temporary Assistance for Needy Families (TANF), etc)- Leverage AI for Equity: Use Artificial Intelligence to synthesize lived-experience data into rigorous, culturally responsive KPIs.- Calculate True SROI: Link federal and philanthropic funding directly to demonstrable social returns.- Modernize Your Theory of Change: Move beyond 'autopsy-style' data toward real-time progress monitoring.Who This Book Is For: - Government Leaders & Policymakers seeking systemic accountability.- Evaluators & Data Strategists tasked with modernizing impact metrics.- Nonprofit & Philanthropic Executives ready to prove their Theory of Change.- Social Impact Investors requiring a transparent data standard. The future of social policy will not be defined by how much we spend-but by how far people move forward. Get the manual. Audit your logic. Scale your impact.…

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Hardback. Zustand: Very Good. The use of mathematical logic as a formalism for artificial intelligence was recognized by John McCarthy in 1959 in his paper on Programs with Common Sense. In a series of papers in the 1960's he expanded upon these ideas and continues to do so to this date. It is now 41 years since the idea of using a formal mechanism for AI arose. It is therefore appropriate to consider some of the research, applications and implementations that have resulted from this idea. In early 1995 John McCarthy suggested to me that we have a workshop on Logic-Based Artificial Intelligence (LBAI). In June 1999, the Workshop on Logic-Based Artificial Intelligence was held as a consequence of McCarthy's suggestion. The workshop came about with the support of Ephraim Glinert of the National Science Foundation (IIS-9S2013S), the American Association for Artificial Intelligence who provided support for graduate students to attend, and Joseph JaJa, Director of the University of Maryland Institute for Advanced Computer Studies who provided both manpower and financial support, and the Department of Computer Science. We are grateful for their support. This book consists of refereed papers based on presentations made at the Workshop. Not all of the Workshop participants were able to contribute papers for the book. The common theme of papers at the workshop and in this book is the use of logic as a formalism to solve problems in AI.…

- Softcover
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Zustand: gut. 1988. From Standard Logic to Logic Programming: Introducing a Logic Based Approach to Artificial Intelligence In englischer Sprache. pages.

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Zustand: gut. 1991. From Natural Language Processing to Logic for Expert Systems: A Logic Based Approach to Artificial Intelligence (Logic-based Approach to Artificial Intelligence S.) In englischer Sprache. pages.

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Zustand: gut. 1989. From Modal Logic to Deductive Databases: Introducing a Logic Based Approach to Artificial Intelligence In englischer Sprache. pages.

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Zustand: New. Idioma/Language: Inglés. The use of mathematical logic as a formalism for artificial intelligence was recognized by John McCarthy in 1959 in his paper on Programs with Common Sense. In a series of papers in the 1960âs he expanded upon these ideas and continues to do so to this date. It is now 41 years since the idea of using a formal mechanism for AI arose. It is therefore appropriate to consider some of the research, applications and implementations that have resulted from this idea. In early 1995 John McCarthy suggested to me that we have a workshop on Logic-Based Artificial Intelligence (LBAI). In June 1999, the Workshop on Logic-Based Artificial Intelligence was held as a consequence of McCarthyâs suggestion. The workshop came about with the support of Ephraim Glinert of the National Science Foundation (IIS-9S2013S), the American Association for Artificial Intelligence who provided support for graduate students to attend, and Joseph JaJa, Director of the University of Maryland Institute for Advanced Computer Studies who provided both manpower and financial support, and the Department of Computer Science. We are grateful for their support. This book consists of refereed papers based on presentations made at the Workshop. Not all of the Workshop participants were able to contribute papers for the book. The common theme of papers at the workshop and in this book is the use of logic as a formalism to solve problems in AI. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.…

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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 630 | Sprache: Englisch | Produktart: Bücher | The use of mathematical logic as a formalism for artificial intelligence was recognized by John McCarthy in 1959 in his paper on Programs with Common Sense. In a series of papers in the 1960's he expanded upon these ideas and continues to do so to this date. It is now 41 years since the idea of using a formal mechanism for AI arose. It is therefore appropriate to consider some of the research, applications and implementations that have resulted from this idea. In early 1995 John McCarthy suggested to me that we have a workshop on Logic-Based Artificial Intelligence (LBAI). In June 1999, the Workshop on Logic-Based Artificial Intelligence was held as a consequence of McCarthy's suggestion. The workshop came about with the support of Ephraim Glinert of the National Science Foundation (IIS-9S2013S), the American Association for Artificial Intelligence who provided support for graduate students to attend, and Joseph JaJa, Director of the University of Maryland Institute for Advanced Computer Studies who provided both manpower and financial support, and the Department of Computer Science. We are grateful for their support. This book consists of refereed papers based on presentations made at the Workshop. Not all of the Workshop participants were able to contribute papers for the book. The common theme of papers at the workshop and in this book is the use of logic as a formalism to solve problems in AI.…

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Taschenbuch. Zustand: Neu. Logic-Based Artificial Intelligence | Jack Minker | Taschenbuch | xxiii | Englisch | 2012 | Springer | EAN 9781461356189 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Zustand: New. In English.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The use of mathematical logic as a formalism for artificial intelligence was recognized by John McCarthy in 1959 in his paper on Programs with Common Sense. In a series of papers in the 1960's he expanded upon these ideas and continues to do so to this date. It is now 41 years since the idea of using a formal mechanism for AI arose. It is therefore appropriate to consider some of the research, applications and implementations that have resulted from this idea. In early 1995 John McCarthy suggested to me that we have a workshop on Logic-Based Artificial Intelligence (LBAI). In June 1999, the Workshop on Logic-Based Artificial Intelligence was held as a consequence of McCarthy's suggestion. The workshop came about with the support of Ephraim Glinert of the National Science Foundation (IIS-9S2013S), the American Association for Artificial Intelligence who provided support for graduate students to attend, and Joseph JaJa, Director of the University of Maryland Institute for Advanced Computer Studies who provided both manpower and financial support, and the Department of Computer Science. We are grateful for their support. This book consists of refereed papers based on presentations made at the Workshop. Not all of the Workshop participants were able to contribute papers for the book. The common theme of papers at the workshop and in this book is the use of logic as a formalism to solve problems in AI.…

- Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The use of mathematical logic as a formalism for artificial intelligence was recognized by John McCarthy in 1959 in his paper on Programs with Common Sense. In a series of papers in the 1960's he expanded upon these ideas and continues to do so to this date. It is now 41 years since the idea of using a formal mechanism for AI arose. It is therefore appropriate to consider some of the research, applications and implementations that have resulted from this idea. In early 1995 John McCarthy suggested to me that we have a workshop on Logic-Based Artificial Intelligence (LBAI). In June 1999, the Workshop on Logic-Based Artificial Intelligence was held as a consequence of McCarthy's suggestion. The workshop came about with the support of Ephraim Glinert of the National Science Foundation (IIS-9S2013S), the American Association for Artificial Intelligence who provided support for graduate students to attend, and Joseph JaJa, Director of the University of Maryland Institute for Advanced Computer Studies who provided both manpower and financial support, and the Department of Computer Science. We are grateful for their support. This book consists of refereed papers based on presentations made at the Workshop. Not all of the Workshop participants were able to contribute papers for the book. The common theme of papers at the workshop and in this book is the use of logic as a formalism to solve problems in AI.…

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paperback. Zustand: Wie neu. 556 Seiten; M25-07-P-14-LN Sprache: Deutsch Gewicht in Gramm: 2.

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