Cognitive Architectures (eBook)

Maria Isabel Aldinhas Ferreira, João Silva Sequeira, Rodrigo Ventura (Herausgeber)

eBook Download: PDF

2018
278 Seiten
Springer International Publishing (Verlag)
978-3-319-97550-4 (ISBN)

Infos

This book provides an integrated framework for natural and artificial cognition by highlighting the fundamental role played by the cognitive architecture in the dialectics with the surrounding environment and consequently in the definition of a particular meaningful world.

This book is also about embodied and non-embodied artificial systems, cognitive architectures that are human constructs, meant to be able to populate the human world, capable of identifying different life contexts and replicating human patterns of behavior capable of acting according to human values and conventions, systems that perform tasks in a human-like way.

By identifying the essential phenomena at the core of all forms of cognition, the book addresses the topic of design of artificial cognitive architectures in the domains of robotics and artificial life. Moving from mere bio-inspired design methodology it aims to open a pathway to semiotically determined design.

Inhalt

Editorial 6
References 13
Acknowledgements 14
Contents 15
Contributors 17
Cognitive Architectures: The Dialectics of Agent/Environment 19
1 Subjective Worlds 19
2 Umwelt Overlap: The Overlap of Individual Experiences 25
3 The Observer’s Myth 26
4 Hybrid Worlds, Hybrid Agents 29
References 30
Complementarity of Seeing and Appearing 31
1 Introduction 31
2 The Building Blocks of Animal Colouration 32
3 The Origin of Colour Patterns 35
4 Sensory Apparatus 36
5 Hypotheses of Adaptivity of Signalling by Colouration 38
6 Arbitrary Coevolution of Colouration and Preference 41
7 Biological Meaning as an Evolutionary Factor 43
References 44
The Extended Domicile—Culture, Embodied Existence and the Senses 49
1 Adaptation Through Technology 50
2 Biology and Aesthetics 51
3 Interacting with the World 52
4 The Extended Man 53
5 The Unity of Space and Self 54
6 Architecture—Object or Experience? 55
7 Embodied Experience 56
References 58
What We Need from an Embodied Cognitive Architecture 60
1 Introduction 61
2 Flavours of Embodied Cognitive Science 63
3 Towards an Embodied Cognitive Architecture 64
3.1 What We Need from an Embodied Cognitive Architecture 64
3.2 Represenationalism and Dynamicism 65
3.3 Overview over NEF and SPA 66
3.4 Formalising Symbol Grounding 68
3.5 Determining the Role of the Body 69
3.6 Challenges for a NEF/SPA Approach 70
4 Final Considerations 72
References 73
The Architect's Dilemmas 75
1 Introduction 75
2 The Role of Cognitive Architecture 76
3 The Dilemma of Fidelity 77
4 The Dilemma of Embodiment 78
5 The Dilemma of Autonomy 81
6 Conclusion 82
References 84
Human Cognition-Inspired Robotic Grasping 87
1 Postural Synergies in Human Beings 87
2 Postural Synergies in Robotics 88
2.1 Mapping Human Hand Motion to a Robotic Hand 89
2.2 Hand Synergies Computation 91
2.3 Grasping Control in the Synergies Subspace 92
2.4 Mapping Human Arm Motion to a Robotic Arm 94
2.5 Arm Synergies Computation 95
3 Combining Synergies with Machine Learning 97
4 Conclusions 98
References 99
The Synthetic Psychology of the Self 101
1 Beyond the Turing Test 102
2 Robotics as Synthetic Psychology 104
3 Defining and Deconstructing the Self 105
4 A “Systems” View of Self 107
5 A Diversity of Selves Across the Life-Span, the Population, and the Animal Kingdom 108
6 A Minimal Robotic Self? 111
7 A Biomimetic Cognitive Architecture for the Robot Self 112
8 Conclusion 116
References 117
Constructive Biology of Emotion Systems: First- and Second-Person Methods for Grounding Adaptation in a Biological and Social World 121
1 Introduction 122
1.1 The `Person' of an Agent 122
1.2 Constructive Biology 123
2 A Generalized Phenomenological Perspective 123
2.1 I Feel, Therefore I Am 123
2.2 You Are Like Me, Therefore You Feel 124
3 Meaning, Observers, and Information 125
3.1 Meaning for Observers and Agents 125
4 Locus and Channels of Meaning 127
5 First and Second Person Meaning: `I' and `Thou' 128
5.1 The First Person: An Agent's Perspective 128
5.2 The Second Person: `I' and `Thou' 128
6 Grounding in Interaction: Tropism, Taxes, Reinforcers, Drives (from Internal Milieu), Emotions (from External Stimuli) 129
6.1 Emotional Grounding 129
6.2 Inside/Outside: Drive/Emotion 130
6.3 First-Person Emotions 134
6.4 Second-Person and Social Emotions 135
7 Emotion in Adaptive Systems 135
8 Further Temporal Aspects of Emotion, Behavior, and Narrative 137
9 Implications for Agents and Artifacts 137
9.1 How Can Emotion Improve Decision Making? 138
9.2 How Is Emotion Useful in Social Behavior? 138
9.3 How Can Emotional and Episodic Memory Be Integrated? 138
9.4 What Could Affective Implementations Teach Us About `Wet', Biological Systems? 139
10 Summary and Discussion 140
References 141
Modeling Cognition–Emotion Interactions in Symbolic Agent Architectures: Examples of Research and Applied Models 145
1 Introduction 145
1.1 Research Versus Applied Models 146
1.2 Modeling Effects of Affective States and Traits on Cognition 147
1.3 Different Levels of Modeling Resolution 148
2 Relevant Emotion Research Background 148
3 MAMID Modeling Methodology and Architecture 150
4 Examples of Research Models 153
5 Summary and Conclusions 157
5.1 Summary 157
5.2 Conclusions 157
References 158
Improving Human Behavior Using POMDPs with Gestures and Speech Recognition 160
1 Introduction 160
2 Related Work 161
3 Background 162
4 Framework Description 163
4.1 States and Transitions 163
4.2 Observations and Observation Model 165
4.3 Actions 165
4.4 Reward Model 166
5 Selected Application 166
5.1 Scenario 166
5.2 Decision-Theoretic Model for the Robot Therapist 167
6 Experiments 170
6.1 Experimental Setup 170
6.2 Experimental Results 171
6.3 Discussion 175
7 Conclusions and Future Work 176
References 177
An Overview of the Distributed Integrated Cognition Affect and Reflection DIARC Architecture 179
1 Introduction 179
2 Theoretical Commitments 180
2.1 Structure and Processing 181
2.2 Memory and Content 181
2.3 Learning 182
2.4 Perception and Motor 182
2.5 Additional Component Commitments 183
2.6 Polylithic Design and Implementation 184
3 An Overview of Select DIARC Components and Processes 184
3.1 Goals, Actions, and Action Execution 185
3.2 Perception and Cognitive Affordances 187
3.3 Natural Language Dialogues 190
4 Two Example Configurations of DIARC 196
4.1 Learning Object Parts in One-Shot 196
4.2 Sharing Components Among Multiple Agents 198
5 Applications 200
5.1 HRI Experiments with DIARC 200
5.2 Cognitive Modeling with DIARC 200
6 Conclusion 201
References 202
Non-human Intention and Meaning-Making: An Ecological Theory 208
1 Introduction 208
2 An Ecological Theory 210
References 217
Implementing Social Smart Environments with a Large Number of Believable Inhabitants in the Context of Globalization 218
1 Introduction 218
2 Recent Work 220
3 Modeling and Implementation of Determinants 221
3.1 Agent-Specific Determinants 222
3.2 Environment-Wide Determinants 226
4 Prototype 229
5 Governing Scalability 230
6 Discussion and Future Work 231
References 232
EcoSim, an Enhanced Artificial Ecosystem: Addressing Deeper Behavioral, Ecological, and Evolutionary Questions 235
1 Introduction 236
2 ODD Description of EcoSim 241
2.1 Purpose 242
2.2 Entities, State Variables, and Scales 242
2.3 Process Overview and Scheduling 246
2.4 Design Concepts 247
2.5 Submodels 258
2.6 Ecological and Evolutionary Properties of EcoSim 263
2.7 Divergence of Sister Species 267
2.8 Sensitivity Analysis of EcoSim 268
3 Case Study: Application of EcoSim to Study Behavior and Evolution Under Conditions of Reduced Primary Production and Reduced Energy Expenditure 272
3.1 Reduced Primary Production 274
3.2 Reduced Energy Expenditure 280
4 Conclusion 283
References 284

Produkt-Details

• Erscheint lt. Verlag: 3.9.2018
• Reihe/Serie: Intelligent Systems, Control and Automation: Science and Engineering
• Reihe/Serie: Intelligent Systems, Control and Automation: Science and Engineering
• Zusatzinfo: XVIII, 278 p. 49 illus., 38 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Mathematik / Informatik ► Mathematik
• Themenwelt: Technik ► Maschinenbau
• Schlagworte: Artificial cognition • Artificial cognitive system • Cognitive Semiosis • Complexity • Mixed or enhanced forms of cognition • Natural Cognition
• ISBN-10: 3-319-97550-1 / 3319975501
• ISBN-13: 978-3-319-97550-4 / 9783319975504