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Artificial Life and Intelligent Agents: First International Symposium, ALIA 2014, Bangor, UK, November 5-6, 2014. Revised Selected Papers (Communications in Computer and Information Science Book 519)

معرفی کتاب «Artificial Life and Intelligent Agents: First International Symposium, ALIA 2014, Bangor, UK, November 5-6, 2014. Revised Selected Papers (Communications in Computer and Information Science Book 519)» نوشتهٔ Christopher J. Headleand, William J. Teahan, Llyr Ap Cenydd, Peter R. Lewis, Steve Battle, Panagiotis D. Ritsos، منتشرشده توسط نشر Springer International Publishing : Imprint: Springer در سال 2015. این کتاب در 7 صفحه، فرمت pdf، زبان انگلیسی ارائه شده است.

This book constitutes the refereed proceedings of the First International Symposium on Artificial Life and Intelligent Agents, ALIA 2014, held in Bangor, UK, in November 2014. The 10 revised full papers were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections on learning and evolution; human interaction; robotic simulation. Preface 6 Sponsor's Message 7 Organization 8 Contents 10 Learning and Evolution 11 Towards Real-Time Behavioral Evolution in Video Games 12 1 Motivation 12 2 Related Work 12 3 Template Based Evolution 14 3.1 The Environment 15 3.2 The Species Template 15 3.3 The Agent 15 3.4 Modification for Real-Time Game Content Generation 16 4 Proof of Concept Game 16 4.1 Species Template 17 4.2 Evolution Cycle and Fitness 18 5 Pilot Study 19 6 Results 20 6.1 Player Observations 21 6.2 NPC Observations 22 7 Conclusions 23 References 24 Simulated Road Following Using Neuroevolution 26 1 Introduction 26 1.1 Related Work 27 2 Neural Network Controller 28 3 Genetic Algorithm 30 4 Simulation Scenes 30 5 Road Bounds Checking and Fitness Function 32 6 Results and Observations 33 6.1 Testing Round 1 34 6.2 Testing Round 2 36 7 Conclusions 38 References 39 Enhancing Active Vision System Categorization Capability Through Uniform Local Binary Patterns 40 1 Introduction 40 2 Related Works 41 3 Experimental Details 42 3.1 Experiment One 45 3.2 Experiments Two and Three 46 4 Results 47 4.1 Experiment One 48 4.2 Experiment Two 48 4.3 Experiment Three 50 5 Discussion 51 6 Conclusion 51 References 52 Learning in Networked Interactions: A Replicator Dynamics Approach 53 1 Introduction 53 2 Background 55 2.1 Reinforcement Learning 55 2.2 Evolutionary Game Theory 56 2.3 Networked Interactions 57 3 Evolutionary Models of Multi-agent Learning 58 4 Networked Replicator Dynamics 60 5 Experimental Validation 60 5.1 Comparing Different Learning Models 61 5.2 The Effect of Lenience on Convergence 63 5.3 The Relation Between Network Size and Degree 63 5.4 The Influence of Stubborn Agents 64 6 Conclusions 65 References 66 Human Interaction 68 Human Robot-Team Interaction 69 1 Introduction 69 2 Environment and Problem Description 70 2.1 Environment 70 2.2 Problem Description 70 3 Background 72 3.1 Planning in Spatially Distributed Tasks 72 3.2 Platforms 72 4 Approach 75 5 Proof of Concept 77 6 Conclusions and Future Work 78 References 79 An Exploration on Intuitive Interfaces for Robot Control Based on Self Organisation 81 1 Introduction 81 1.1 Operator Behaviour Acquisition 82 2 Materials and Methods 83 3 Results 84 4 Conclusions 87 References 87 Adaptive Training for Aggression de-Escalation 88 Abstract 88 1 Introduction 88 2 Aggression de-Escalation 90 3 Adaptive Training 90 4 Conceptual Model 91 4.1 Learning Goals 91 4.2 Structure 92 4.3 Difficulty Levels 93 4.4 Transitions Between Levels 94 5 Implementation 95 6 Preliminary Evaluation 97 7 Discussion 99 Acknowledgments 100 References 100 Robotic Simulation 102 Mobile GPGPU Acceleration of Embodied Robot Simulation 103 1 Introduction 103 2 Previous Work 105 3 Accelerating Stage 105 3.1 Overview of Stage Internals 106 3.2 OpenCL Acceleration Strategy 106 4 Testing Methodology 108 4.1 Figures of Merit 109 4.2 Benchmarks 109 4.3 Target Devices 110 4.4 Energy Measurement 110 5 Results 111 6 Conclusions and Further Work 112 References 113 Ashby's Mobile Homeostat 116 1 Introduction 116 2 The Mobile Homeostat 120 2.1 Ultrastability 124 3 Reducing Connectivity 125 3.1 Discussion 126 3.2 Conclusion 127 A Appendix: MATLAB Model for Fig.?? 127 References 128 Multi-Robot Coverage: A Bee Pheromone Signalling Approach 130 1 Introduction 130 2 Related Work 131 2.1 Multi Robot Coverage 131 2.2 Bio-inspired Solutions 133 3 Pheromone Signalling Based Coverage Technique 134 4 Evaluation Environment and Experimental Results 137 5 Conclusions 143 References 144 Author Index 147 Front Matter....Pages I-XI Front Matter....Pages 1-1 Towards Real-Time Behavioral Evolution in Video Games....Pages 3-16 Simulated Road Following Using Neuroevolution....Pages 17-30 Enhancing Active Vision System Categorization Capability Through Uniform Local Binary Patterns ....Pages 31-43 Learning in Networked Interactions: A Replicator Dynamics Approach....Pages 44-58 Front Matter....Pages 59-59 Human Robot-Team Interaction....Pages 61-72 An Exploration on Intuitive Interfaces for Robot Control Based on Self Organisation....Pages 73-79 Adaptive Training for Aggression de-Escalation....Pages 80-93 Front Matter....Pages 95-95 Mobile GPGPU Acceleration of Embodied Robot Simulation....Pages 97-109 Ashby’s Mobile Homeostat....Pages 110-123 Multi-Robot Coverage: A Bee Pheromone Signalling Approach....Pages 124-140 Back Matter....Pages 141-141
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