Artificial intelligence: structures and strategies for complex problem solving
In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence-solving the complex problems that arise wherever computer technology is applied. Key representation techniques including logic, semantic and connectionist networks, graphical models, and many more ar...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boston ; Munich [u.a.]
Pearson Addison-Wesley
2009
|
| Ausgabe: | 6. ed., internat. ed. |
| Schlagworte: | |
| Online-Zugang: | Table of contents Inhaltsverzeichnis |
| Zusammenfassung: | In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence-solving the complex problems that arise wherever computer technology is applied. Key representation techniques including logic, semantic and connectionist networks, graphical models, and many more are introduced. Presentation of agent technology and the use of ontologies are added. A new machine-learning chapter is based on stochastic methods, including first-order Bayesian networks, variants of hidden Markov models, inference with Markov random fields and loopy belief propagation. A new presentation of parameter fitting with expectation maximization learning and structure learning using Markov chain Monte Carlo sampling. Use of Markov decision processes in reinforcement learning. Natural language processing with dynamic programming (the Earley parser) and other probabilistic parsing techniques including Viterbi, are added. A new supplemental programming book is available online and in print: "AI Algorithms in Prolog, Lisp and Java (TM). "References and citations are updated throughout the Sixth Edition. For all readers interested in artificial intelligence. |
| Beschreibung: | XXIII, 754 S. graph. Darst. |
| ISBN: | 9780132090018 0132090015 |
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| 520 | 3 | |a In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence-solving the complex problems that arise wherever computer technology is applied. Key representation techniques including logic, semantic and connectionist networks, graphical models, and many more are introduced. Presentation of agent technology and the use of ontologies are added. A new machine-learning chapter is based on stochastic methods, including first-order Bayesian networks, variants of hidden Markov models, inference with Markov random fields and loopy belief propagation. A new presentation of parameter fitting with expectation maximization learning and structure learning using Markov chain Monte Carlo sampling. Use of Markov decision processes in reinforcement learning. Natural language processing with dynamic programming (the Earley parser) and other probabilistic parsing techniques including Viterbi, are added. A new supplemental programming book is available online and in print: "AI Algorithms in Prolog, Lisp and Java (TM). "References and citations are updated throughout the Sixth Edition. For all readers interested in artificial intelligence. | |
| 650 | 4 | |a Códigos de corrección (Teoría de la información) | |
| 650 | 4 | |a Inteligencia artificial | |
| 650 | 4 | |a Intelligence artificielle | |
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| 650 | 4 | |a Prolog (Langage de programmation) | |
| 650 | 4 | |a Représentation des connaissances | |
| 650 | 4 | |a Résolution de problème | |
| 650 | 4 | |a Solución de problemas | |
| 650 | 4 | |a Künstliche Intelligenz | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Knowledge representation (Information theory) | |
| 650 | 4 | |a LISP (Computer program language) | |
| 650 | 4 | |a Problem solving | |
| 650 | 4 | |a Prolog (Computer program language) | |
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Datensatz im Suchindex
| _version_ | 1804137737332195328 |
|---|---|
| adam_text | BRIEF CONTENTS
Preface
vii
Publisher s Acknowledgements
xv
PART I ARTIFICIAL INTELLIGENCE:
ITS ROOTS AND SCOPE
1
1
Al:
HISTORY AND APPLICATIONS
3
PART II ARTIFICIAL INTELLIGENCE AS
REPRESENTATION AND SEARCH
35
2
THE PREDICATE CALCULUS
45
3
STRUCTURES AND STRATEGIES FOR STATE SPACE SEARCH
79
4
HEURISTIC SEARCH
123
5
STOCHASTIC METHODS
165
6
CONTROL AND IMPLEMENTATION OF STATE SPACE SEARCH
193
PART III CAPTURING INTELLIGENCE:
THE
Al
CHALLENGE
223
7
KNOWLEDGE REPRESENTATION
227
xvii
PART III (continued)
8
STRONG METHOD PROBLEM SOLVING
277
9
REASONING IN UNCERTAIN SITUATIONS
333
PART IV MACHINE LEARNING
385
10
MACHINE LEARNING: SYMBOL-BASED
387
11
MACHINE LEARNING: CONNECTIONS
453
12
MACHINE LEARNING: GENETIC AND EMERGENT
507
13
MACHINE LEARNING: PROBABILISTIC
543
PART V ADVANCED TOPICS FOR
Al
PROBLEM SOLVING
573
14
AUTOMATED REASONING
575
15
UNDERSTANDING NATURAL LANGUAGE
619
PART VI EPILOGUE
671
16
ARTIFICIAL INTELLIGENCE AS EMPIRICAL ENQUIRY
673
Bibliography
705
Author Index
735
Subject Index
743
XVIII
BRIEF CONTENTS
|
| adam_txt |
BRIEF CONTENTS
Preface
vii
Publisher's Acknowledgements
xv
PART I ARTIFICIAL INTELLIGENCE:
ITS ROOTS AND SCOPE
1
1
Al:
HISTORY AND APPLICATIONS
3
PART II ARTIFICIAL INTELLIGENCE AS
REPRESENTATION AND SEARCH
35
2
THE PREDICATE CALCULUS
45
3
STRUCTURES AND STRATEGIES FOR STATE SPACE SEARCH
79
4
HEURISTIC SEARCH
123
5
STOCHASTIC METHODS
165
6
CONTROL AND IMPLEMENTATION OF STATE SPACE SEARCH
193
PART III CAPTURING INTELLIGENCE:
THE
Al
CHALLENGE
223
7
KNOWLEDGE REPRESENTATION
227
xvii
PART III (continued)
8
STRONG METHOD PROBLEM SOLVING
277
9
REASONING IN UNCERTAIN SITUATIONS
333
PART IV MACHINE LEARNING
385
10
MACHINE LEARNING: SYMBOL-BASED
387
11
MACHINE LEARNING: CONNECTIONS
453
12
MACHINE LEARNING: GENETIC AND EMERGENT
507
13
MACHINE LEARNING: PROBABILISTIC
543
PART V ADVANCED TOPICS FOR
Al
PROBLEM SOLVING
573
14
AUTOMATED REASONING
575
15
UNDERSTANDING NATURAL LANGUAGE
619
PART VI EPILOGUE
671
16
ARTIFICIAL INTELLIGENCE AS EMPIRICAL ENQUIRY
673
Bibliography
705
Author Index
735
Subject Index
743
XVIII
BRIEF CONTENTS |
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| discipline | Informatik |
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| edition | 6. ed., internat. ed. |
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| spelling | Luger, George F. 1940- Verfasser (DE-588)122991834 aut Artificial intelligence structures and strategies for complex problem solving George F. Luger 6. ed., internat. ed. Boston ; Munich [u.a.] Pearson Addison-Wesley 2009 XXIII, 754 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence-solving the complex problems that arise wherever computer technology is applied. Key representation techniques including logic, semantic and connectionist networks, graphical models, and many more are introduced. Presentation of agent technology and the use of ontologies are added. A new machine-learning chapter is based on stochastic methods, including first-order Bayesian networks, variants of hidden Markov models, inference with Markov random fields and loopy belief propagation. A new presentation of parameter fitting with expectation maximization learning and structure learning using Markov chain Monte Carlo sampling. Use of Markov decision processes in reinforcement learning. Natural language processing with dynamic programming (the Earley parser) and other probabilistic parsing techniques including Viterbi, are added. A new supplemental programming book is available online and in print: "AI Algorithms in Prolog, Lisp and Java (TM). "References and citations are updated throughout the Sixth Edition. For all readers interested in artificial intelligence. Códigos de corrección (Teoría de la información) Inteligencia artificial Intelligence artificielle LISP (Langage de programmation) Prolog (Langage de programmation) Représentation des connaissances Résolution de problème Solución de problemas Künstliche Intelligenz Artificial intelligence Knowledge representation (Information theory) LISP (Computer program language) Problem solving Prolog (Computer program language) Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Problemlösen (DE-588)4076358-4 gnd rswk-swf Expertensystem (DE-588)4113491-6 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Expertensystem (DE-588)4113491-6 s Künstliche Intelligenz (DE-588)4033447-8 s 1\p DE-604 Problemlösen (DE-588)4076358-4 s 2\p DE-604 http://www.loc.gov/catdir/toc/fy0803/2007050376.html Table of contents Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016553447&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Luger, George F. 1940- Artificial intelligence structures and strategies for complex problem solving Códigos de corrección (Teoría de la información) Inteligencia artificial Intelligence artificielle LISP (Langage de programmation) Prolog (Langage de programmation) Représentation des connaissances Résolution de problème Solución de problemas Künstliche Intelligenz Artificial intelligence Knowledge representation (Information theory) LISP (Computer program language) Problem solving Prolog (Computer program language) Künstliche Intelligenz (DE-588)4033447-8 gnd Problemlösen (DE-588)4076358-4 gnd Expertensystem (DE-588)4113491-6 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4076358-4 (DE-588)4113491-6 (DE-588)4123623-3 |
| title | Artificial intelligence structures and strategies for complex problem solving |
| title_auth | Artificial intelligence structures and strategies for complex problem solving |
| title_exact_search | Artificial intelligence structures and strategies for complex problem solving |
| title_exact_search_txtP | Artificial intelligence structures and strategies for complex problem solving |
| title_full | Artificial intelligence structures and strategies for complex problem solving George F. Luger |
| title_fullStr | Artificial intelligence structures and strategies for complex problem solving George F. Luger |
| title_full_unstemmed | Artificial intelligence structures and strategies for complex problem solving George F. Luger |
| title_short | Artificial intelligence |
| title_sort | artificial intelligence structures and strategies for complex problem solving |
| title_sub | structures and strategies for complex problem solving |
| topic | Códigos de corrección (Teoría de la información) Inteligencia artificial Intelligence artificielle LISP (Langage de programmation) Prolog (Langage de programmation) Représentation des connaissances Résolution de problème Solución de problemas Künstliche Intelligenz Artificial intelligence Knowledge representation (Information theory) LISP (Computer program language) Problem solving Prolog (Computer program language) Künstliche Intelligenz (DE-588)4033447-8 gnd Problemlösen (DE-588)4076358-4 gnd Expertensystem (DE-588)4113491-6 gnd |
| topic_facet | Códigos de corrección (Teoría de la información) Inteligencia artificial Intelligence artificielle LISP (Langage de programmation) Prolog (Langage de programmation) Représentation des connaissances Résolution de problème Solución de problemas Künstliche Intelligenz Artificial intelligence Knowledge representation (Information theory) LISP (Computer program language) Problem solving Prolog (Computer program language) Problemlösen Expertensystem Lehrbuch |
| url | http://www.loc.gov/catdir/toc/fy0803/2007050376.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016553447&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT lugergeorgef artificialintelligencestructuresandstrategiesforcomplexproblemsolving |