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John Funge introduces a new approach to creating autonomous characters. Cognitive modeling provides computer-animated characters with logic, reasoning, and planning skills. Individual chapters in the book provide concrete examples of advanced character animation, automated cinematography, and a real-time computer game. Source code, animations, images, and other resources are available at the book's website, listed below.
John Funge introduces a new approach to creating autonomous characters. Cognitive modeling provides computer-animated characters with logic, reasoning, and planning skills. Individual chapters in the book provide concrete examples of advanced character animation, automated cinematography, and a real-time computer game. Source code, animations, images, and other resources are available at the book's website, listed below.
Produktdetails
- Produktdetails
- Verlag: Peters, Wellesley
- Artikelnr. des Verlages: K00339
- 1999.
- Seitenzahl: 236
- Englisch
- Abmessung: 229mm
- Gewicht: 456g
- ISBN-13: 9781568811031
- ISBN-10: 1568811039
- Artikelnr.: 09219681
- Verlag: Peters, Wellesley
- Artikelnr. des Verlages: K00339
- 1999.
- Seitenzahl: 236
- Englisch
- Abmessung: 229mm
- Gewicht: 456g
- ISBN-13: 9781568811031
- ISBN-10: 1568811039
- Artikelnr.: 09219681
Foreword -- Preface -- 1 Introduction -- 1.1 Cognitive Character -- 1.2 Domain Knowledge -- 1.3 Character Instruction -- 1.4 Knowledge Acquisition -- 1.5 Phenomenology -- 1.6 Implementation -- 1.7 Other Models -- 2 Background -- 2.1 Geometric Models -- 2.2 Kinematic Control -- 2.3 Physical Models -- 2.4 Noninterpenetration -- 2.5 Biomechanical Mode -- 2.6 Behavior and Cognitive Model -- 2.7 Notes -- 3 Domain Knowledge -- 3.1 Mathematical Logic -- 3.2 Situation Calculus -- 3.3 D iscussion -- 3.4 Notes -- 4 Sensing -- 4.1 Knowledge Producing Actions. -- 4.2 Interval Arithmetic -- 4.3 Interval-valued Epistemic Fluents -- 4.4 Inaccurate Sensors -- 4.5 Sensing Changing Values -- 4.6 Correctness -- 4.7 Operators for Interval Arithmetic -- 4.8 Knowledge of Terms -- 4.9 Usefulness -- 4.10 Notes -- 5 Character Instruction -- 5.1 Predefined Behavior -- 5.2 Goal-directed Behavior -- 5.3 The Middle Ground -- 5.4 A Simple Tutorial Example: Maze Solving -- 5.5 D iscussion -- 5.6 Notes -- 6 Learning -- 6.1 Machine Learning -- 6.2 Creating a Training Set -- 6.3 Representation of the Learned Function -- 6.4 Learning Algorithm -- 6.5 D iscussion -- 6.6 Notes -- 7 Putting It All Together -- 7.1 A Predefined Behavior Layer -- 7.2 Interface. -- 7.3 Roiling Forward -- 7.4 Embedding Goal-directed Behavior -- 7.5 Intelligent Flocks -- 7.6 Notes -- 8 CML -- 8.1 Precondition and Effect Axioms -- 8.2 Complex A ctioNS -- 8.3 Discussion -- 8.4 Notes -- 9 Cinematography -- 9.1 Automated Cinematography -- 9.2 Implementation -- 9.3 Discussion -- 9.4 Notes -- 10 Prehistoric World -- 10.1 The Prehistoric World -- 10.2 Effect A xioms -- 10.3 Precondition A xiomS -- 10.4 Character Instruction -- 10.5 Implementation. -- 10.6 D iscussion -- 10.7 Notes -- 11 Undersea world -- 11.1 D iscussion -- 11.2 Overview -- 11.3 Evasion BehavioR -- 11.4 The Great Escape -- 11.5 Pet Protection -- 11.6 General Melee -- 11.7 Visibility Testing -- 11.8 Low-level System Implementation -- 11.9 Discussion -- ll.lONotes -- 12 Conclusion -- 12.1 AI Accelerator cards -- 12.2 R obotics. -- 12.3 Electronic Commerce and Web Avatars. -- 12.4 Other Applications. -- 12.5 Conclusion -- Bibliography -- Index.
Foreword -- Preface -- 1 Introduction -- 1.1 Cognitive Character -- 1.2 Domain Knowledge -- 1.3 Character Instruction -- 1.4 Knowledge Acquisition -- 1.5 Phenomenology -- 1.6 Implementation -- 1.7 Other Models -- 2 Background -- 2.1 Geometric Models -- 2.2 Kinematic Control -- 2.3 Physical Models -- 2.4 Noninterpenetration -- 2.5 Biomechanical Mode -- 2.6 Behavior and Cognitive Model -- 2.7 Notes -- 3 Domain Knowledge -- 3.1 Mathematical Logic -- 3.2 Situation Calculus -- 3.3 D iscussion -- 3.4 Notes -- 4 Sensing -- 4.1 Knowledge Producing Actions. -- 4.2 Interval Arithmetic -- 4.3 Interval-valued Epistemic Fluents -- 4.4 Inaccurate Sensors -- 4.5 Sensing Changing Values -- 4.6 Correctness -- 4.7 Operators for Interval Arithmetic -- 4.8 Knowledge of Terms -- 4.9 Usefulness -- 4.10 Notes -- 5 Character Instruction -- 5.1 Predefined Behavior -- 5.2 Goal-directed Behavior -- 5.3 The Middle Ground -- 5.4 A Simple Tutorial Example: Maze Solving -- 5.5 D iscussion -- 5.6 Notes -- 6 Learning -- 6.1 Machine Learning -- 6.2 Creating a Training Set -- 6.3 Representation of the Learned Function -- 6.4 Learning Algorithm -- 6.5 D iscussion -- 6.6 Notes -- 7 Putting It All Together -- 7.1 A Predefined Behavior Layer -- 7.2 Interface. -- 7.3 Roiling Forward -- 7.4 Embedding Goal-directed Behavior -- 7.5 Intelligent Flocks -- 7.6 Notes -- 8 CML -- 8.1 Precondition and Effect Axioms -- 8.2 Complex A ctioNS -- 8.3 Discussion -- 8.4 Notes -- 9 Cinematography -- 9.1 Automated Cinematography -- 9.2 Implementation -- 9.3 Discussion -- 9.4 Notes -- 10 Prehistoric World -- 10.1 The Prehistoric World -- 10.2 Effect A xioms -- 10.3 Precondition A xiomS -- 10.4 Character Instruction -- 10.5 Implementation. -- 10.6 D iscussion -- 10.7 Notes -- 11 Undersea world -- 11.1 D iscussion -- 11.2 Overview -- 11.3 Evasion BehavioR -- 11.4 The Great Escape -- 11.5 Pet Protection -- 11.6 General Melee -- 11.7 Visibility Testing -- 11.8 Low-level System Implementation -- 11.9 Discussion -- ll.lONotes -- 12 Conclusion -- 12.1 AI Accelerator cards -- 12.2 R obotics. -- 12.3 Electronic Commerce and Web Avatars. -- 12.4 Other Applications. -- 12.5 Conclusion -- Bibliography -- Index.