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| Preface | |
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| Introduction | |
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| Defining Artificial Intelligence | |
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| Artificial Intelligence as a Reasoning System | |
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| Appearance versus Actual Intelligence | |
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| Knowledge Management | |
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| Information Feedback | |
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| Al Put Simply | |
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| Defining Artificial Life | |
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| Modeling Through Observation | |
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| Calculated A-Life | |
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| Synthesized A-Life | |
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| Granularity | |
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| Top-Down versus Bottom-Up Intelligence | |
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| Summary | |
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| Using Artificial Intelligence in Video Games | |
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| Al in Video Games | |
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| Movement Al | |
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| Planning Al | |
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| Interaction Al | |
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| Environmental Al | |
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| Common Al Paradigms | |
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| Applying the Theories | |
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| Motor-Racing Al | |
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| Action Combat Al | |
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| Fighting Al | |
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| Puzzle Al | |
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| Adventure and Exploration Al | |
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| Strategy Al | |
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| Simulation Al | |
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| Summary | |
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| Balancing the Al | |
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| Al and A-Life in Video Games | |
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| References | |
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| Uses for Artificial Life in Video Games | |
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| Modeling Natural Behavior | |
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| Adaptability | |
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| Al Techniques in A-Life | |
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| A-Life for Simulation | |
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| Using A-Life in Video Game Development | |
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| A-Life in the Design Phase | |
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| A-Life in the Development Phase | |
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| Scripting Language | |
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| Modifying Scripts Using A-Life | |
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| Building Scripts Using A-Life Techniques | |
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| A-Life Outside of Scripting | |
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| A-Life in Video Game Testing | |
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| A-Life in the Testing Phase | |
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| Test Coverage | |
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| Implementing the Interface | |
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| Post-Development A-Life | |
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| Summary | |
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| Examples | |
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| References | |
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| The A-Life Programming Paradigm | |
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| A-Life: The Game within the Game | |
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| Scripting Interfaces | |
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| Categories | |
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| Behavioral Modification | |
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| Evolving Behavior | |
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| The Role of Genetic Algorithms | |
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| Propagating Behavior | |
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| Emergent Behavior | |
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| Planning the A-Life Implementation | |
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| Design Time Considerations | |
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| Development Considerations | |
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| Emerging Technology | |
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| Testing with A-Life | |
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| Summary | |
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| Building Blocks | |
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| Al and A-Life Building Blocks | |
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| Learning Defined | |
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| Finite State Machines | |
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| Building a Neural Network | |
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| Expert Systems | |
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| Building Blocks Review | |
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| Deploying the Building Blocks | |
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| In-Game Representation | |
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| Templated Behavior | |
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| Behavior Management and Modeling | |
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| Ground-Up Deployment | |
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| Summary | |
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| The Power of Emergent Behavior | |
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| Defining Emergent Behavior | |
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| Types of Emergent Behavior | |
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| Emergent Behavior Design | |
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| The "Sum of Parts" Emergence Design | |
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| Stimuli | |
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| Movement | |
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| Biochemistry | |
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| Thinking | |
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| Reproduction | |
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| The Individual Dynamic Emergence Design | |
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| The FSM Network | |
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| The Individual as a System | |
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| The Group Dynamic Emergence Design | |
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| The Reproductive Mechanism in Emergence | |
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| Reproductive Models | |
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| Summary | |
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| Controlling Emergence | |
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| References | |
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| Testing with Artificial Life | |
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| Testing A-Life | |
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| Testing with A-Life | |
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| Caveats | |
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| Bottom-Up Testing | |
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| Rule Testing | |
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| Engine Testing | |
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| Pseudorandom Testing | |
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| Testing Al with A-Life | |
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| Knowing the Boundaries | |
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| Mapping the Behavior | |
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| Identifying What to Test | |
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| Testing A-Life with A-Life | |
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| Learning by Example | |
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| Adaptive A-Life | |
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| Summary | |
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| References | |
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| Several A-Life Examples | |
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| Movement and Interaction | |
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| Flocking | |
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| Follow the Leader | |
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| Squad Play | |
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| A-Life Control Systems | |
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| First Principles | |
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| Implementing A-Life Control Systems | |
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| A-Life in Puzzles, Board Games, Simulations | |
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| Battleships | |
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| Video Game Personalities | |
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| Animation and Appearance | |
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| Examples of A-Life in the Gaming Environment | |
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| Summary | |
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| References | |
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| Multiplayer Al and A-Life | |
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| Managing Emergence | |
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| Emergence versus A-Life | |
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| Enhancing the Experience | |
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| The Purpose of Al and A-Life in Multiplayer Games | |
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| Behavioral Cloning | |
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| Preventing Cheating | |
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| Implementing A-Life in Multiplayer Environments | |
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| Population Control | |
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| Strict Rule-Based Behavior | |
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| Flexible Rule-Based Behavior | |
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| Scripted Behavior | |
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| Summary | |
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| References | |
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| The Application of A-Life Outside the Lab | |
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| Simple Genetic Algorithms | |
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| Starting Out | |
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| Animation and Appearance | |
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| Applying Genetic Algorithms | |
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| Breeding Behavioral Patterns | |
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| State-Based Genetic Crossover | |
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| Datasets versus Functionality | |
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| Datasets | |
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| Functionality | |
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| Summary | |
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| References | |
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| Index | |