Theory | |
Introduction: Anticipation in Natural and Artificial Cognition | p. 3 |
Introduction | p. 3 |
The Path to Anticipatory Cognitive Systems | p. 4 |
Symbolic Behavior, Representation-Less Behavior, and Their Merge to Anticipatory Behavior | p. 5 |
The Power of Anticipation: From Reactivity to Proactivity | p. 6 |
The Anticipatory Approach to Cognitive Systems | p. 6 |
The Unitary Nature of Anticipation | p. 12 |
Anticipation in Living Organisms | p. 12 |
Anticipatory Natural Cognition | p. 12 |
Anticipatory Codes in the Brain | p. 15 |
Simulative Theories of Cognition, and Their Unifying Nature | p. 18 |
Conclusions | p. 22 |
The Anticipatory Approach: Definitions and Taxonomies | p. 23 |
Anticipatory Systems, Anticipation, and Anticipatory Behavior | p. 23 |
Prediction vs. Anticipation | p. 25 |
Predictive Capabilities | p. 25 |
Anticipatory Capabilities | p. 31 |
Anticipation and Goal-Oriented Behavior | p. 34 |
The Anticipatory Structure of Goal-Oriented Behavior | p. 35 |
Not All Anticipatory Behavior Is Goal-Oriented | p. 36 |
Which Anticipations Permit Goal-Oriented Action? | p. 36 |
The Hierarchical Organization of Anticipatory Goal-Oriented Action | p. 37 |
Additional Elements of True Goal-Oriented Behavior | p. 38 |
Anticipation and Learning | p. 39 |
Learning to Predict | p. 39 |
Bootstrapping Autonomous Cognitive Development: Surprise and Curiosity | p. 40 |
From Willed to Automatic Control of Action and Vice Versa on the Basis of Surprise | p. 41 |
Conclusions | p. 43 |
Benefits of Anticipations in Cognitive Agents | p. 45 |
Potentials for Anticipatory Systems | p. 45 |
Potential Benefits of Anticipatory Mechanisms on Cognitive Functions | p. 48 |
Effective, Context-Based Action Initiation | p. 48 |
Faster and Smoother Behavior Execution | p. 49 |
Improving Top-Down Attention | p. 50 |
Improving Information Seeking | p. 51 |
Improving Decision Making | p. 52 |
Object Grounding, Categorization, and Ontologies | p. 54 |
Social Abilities | p. 55 |
Learning | p. 57 |
Arising Challenges Due to Anticipations and Avoiding Them | p. 60 |
Conclusion | p. 61 |
Models, Architectures, and Applications | |
Anticipation in Attention | p. 65 |
Introduction | p. 65 |
Learning What to Look at | p. 66 |
A Learning Saliency Map | p. 67 |
Cue-Target Learning | p. 70 |
Cueing by a Single Stimulus | p. 70 |
Contextual Cueing | p. 72 |
Fovea Based Solution | p. 72 |
Attending to Moving Targets | p. 73 |
Models of Smooth Pursuit | p. 75 |
Engineering Approaches | p. 76 |
The State Based Approach | p. 78 |
The Prediction Approach | p. 79 |
The Fovea Based Approach | p. 80 |
Combining Bottom-Up and Top-Down Processes | p. 81 |
Anticipatory, Goal-Directed Behavior | p. 85 |
A Brief History of Schemas | p. 87 |
Schema Approaches | p. 88 |
Symbolic Schemas for Policy Learning | p. 89 |
Symbolic Schemas and Prediction for Selection | p. 90 |
Neural-Based Planning | p. 91 |
Neural Network-Based Dynamic Programming | p. 92 |
Inverse Model Approaches | p. 92 |
Inverse Models in Motor Learning and Control | p. 93 |
Inverse Models and Schema Approaches | p. 94 |
Advanced Structures | p. 94 |
Prediction and Action | p. 95 |
Coupled Forward-Inverse Models | p. 97 |
Hierarchical Anticipatory Systems | p. 98 |
Evaluation of Predictive and Anticipatory Capabilities | p. 99 |
Schema-Based Systems | p. 101 |
Inverse Model Approaches | p. 106 |
Discussion | p. 108 |
Contrasting Predictive System Capabilities | p. 108 |
Contrasting Anticipatory System Capabilities | p. 110 |
Integration | p. 112 |
Conclusions | p. 113 |
Anticipation and Believability | p. 115 |
Introduction | p. 115 |
Animation and Believability | p. 115 |
Emotion and Exaggeration | p. 116 |
Anticipation | p. 117 |
Anticipation, Emotion, and Believability | p. 117 |
Related Work | p. 119 |
Oz Project | p. 119 |
EMA | p. 119 |
Duncan the Highland Terrier | p. 120 |
Emotivector | p. 121 |
Architecture | p. 121 |
Anticipation Model | p. 122 |
Salience Model | p. 123 |
Sensation Model | p. 123 |
Selection Model | p. 123 |
Uncertainty | p. 124 |
Aini, the Synthetic Flower | p. 125 |
Emotivectors in Action | p. 125 |
Evaluation | p. 128 |
iCat, the Affective Game Buddy | p. 128 |
Emotivectors in Action | p. 129 |
Evaluation | p. 130 |
Emotivector Integration in Agent Architectures | p. 132 |
Conclusions | p. 132 |
Anticipation and Emotions for Goal Directed Agents | p. 135 |
Introduction | p. 135 |
Related Works in Affective Computing | p. 137 |
Expectations and Surprise | p. 139 |
A Typology of Expectations and Predictions | p. 139 |
From the Typology of Expectations to the Typology of Surprise | p. 142 |
Roles of Surprise in Cognitive Processing | p. 144 |
Expectations and Emotions for Goal-Directed Agents | p. 148 |
Expectations and Decision Making | p. 148 |
Situated Agents and Affective States | p. 153 |
Confidence of Predictions and Modulation of the Probability Function | p. 158 |
Discussion | p. 158 |
Conclusion | p. 159 |
A Reinforcement-Learning Model of Top-Down Attention Based on a Potential-Action Map | p. 161 |
Introduction | p. 161 |
Methods | p. 163 |
RGB Camera Input | p. 164 |
Saliency Map and Action Selection | p. 165 |
Fovea | p. 166 |
Periphery Map | p. 166 |
Inhibition-of-Return Map | p. 167 |
Potential Action Map | p. 167 |
Actor-Critic Model | p. 168 |
Parameter Settings | p. 169 |
The Tasks | p. 169 |
Results | p. 172 |
Learning and Performance of the Models | p. 172 |
Bottom-Up Attention: Periphery Map and Inhibition-of-Return Map | p. 173 |
Analysis of the Vote Maps | p. 175 |
Capability of Learning to Stay, and of Staying, on the Target | p. 176 |
Potential Action Map: An Action-Oriented Memory of Cue Information | p. 177 |
Potential Action Map: Capacity to Integrate Multiple Sources of Information | p. 179 |
Conclusions | p. 182 |
Anticipation by Analogy | p. 185 |
Introduction | p. 185 |
The Anticipation by Analogy Scenario | p. 186 |
Models of Analogy-Making | p. 188 |
AMBR Model of Analogy-Making | p. 191 |
Integrating Visual Perception and Motor Control in AMBR | p. 191 |
Top-Down Perception | p. 195 |
Attention | p. 197 |
Transfer of the Solution | p. 198 |
Action Execution | p. 199 |
Running the Simulated Model and Comparing It with Human Data | p. 200 |
Comparing with Human Data | p. 203 |
Running the Real Robot Model in the Real World | p. 204 |
Ikaros | p. 206 |
AMBR2Robot | p. 208 |
Tests | p. 209 |
Mechanisms for Active Vision | p. 211 |
Discussion and Conclusion | p. 213 |
Anticipation in Coordination | p. 215 |
Introduction | p. 215 |
The Prisoner's Dilemma Game | p. 216 |
Related Research | p. 217 |
Fictitious Play | p. 218 |
Strategic Teaching and Reputation Formation | p. 218 |
Social Order and Coordination | p. 220 |
Anticipation and Information Processing in Societies | p. 220 |
Agent Architecture and Decision Making Model | p. 221 |
The Model | p. 221 |
Judgment and Decision Making | p. 223 |
Game Simulations with Individual Agents: Comparison with Experimental Results | p. 224 |
Comparison of the Model with Experimental Results | p. 224 |
Multi-Agent Simulations | p. 227 |
Agent Societies | p. 228 |
Simulation Results and Discussions | p. 229 |
Conclusion | p. 235 |
Endowing Artificial Systems with Anticipatory Capabilities: Success Cases | p. 237 |
Introduction | p. 237 |
Flexible Goal-Directed Arm Control: The SURE_REACH Architecture | p. 238 |
Learning Cognitive Maps for Anticipatory Control: Time Growing Neural Gas | p. 239 |
Learning Effective Directional Arm Control: The Evolutionary System XCSF | p. 240 |
Anticipatory Target Motion Prediction | p. 241 |
Anticipatory Spatial Attention with Saliency Maps | p. 242 |
Behavior Prediction in a Group of Robots | p. 242 |
Enhanced Adaptivity in a Predator-Prey Scenario | p. 243 |
Adaptive Navigation and Control with Anticipation | p. 245 |
Mental Experiments for Selecting Actions | p. 245 |
Anticipations for Believable Behavior | p. 246 |
Anticipatory Behavior in a Searching-for-an-Object Task | p. 247 |
The Role of Anticipation in Cooperation and Coordination | p. 248 |
Anticipatory Effects of Expectations and Emotions | p. 249 |
On-Line and Off-Line Anticipation for Action Control | p. 252 |
Conclusion | p. 254 |
References | p. 255 |
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