did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

We're the #1 textbook rental company. Let us show you why.

9783540877011

The Challenge of Anticipation

by ; ; ;
  • ISBN13:

    9783540877011

  • ISBN10:

    3540877010

  • Edition: Illus.
  • Format: Paperback
  • Copyright: 2008-09-16
  • Publisher: Springer-Verlag New York Inc
  • Purchase Benefits
  • Free Shipping Icon Free Shipping On Orders Over $35!
    Your order must be $35 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • eCampus.com Logo Get Rewarded for Ordering Your Textbooks! Enroll Now
List Price: $84.99

Summary

This book proposes a unifying approach for the analysis and design of artificial cognitive systems: The Anticipatory Approach. In 11 coherent chapters, the authors of this State-of-the-Art Survey propose a foundational view of the importance of dealing with the future, of gaining some autonomy from current environmental data, and of endogenously generating sensorimotor and abstract representations. A meaningful taxonomy for anticipatory cognitive mechanisms is put forward, which distinguishes between the types of predictions and the different influences of these predictions on actual behavior and learning. In short, a new unifying perspective on cognitive systems is given.

Table of Contents

Theory
Introduction: Anticipation in Natural and Artificial Cognitionp. 3
Introductionp. 3
The Path to Anticipatory Cognitive Systemsp. 4
Symbolic Behavior, Representation-Less Behavior, and Their Merge to Anticipatory Behaviorp. 5
The Power of Anticipation: From Reactivity to Proactivityp. 6
The Anticipatory Approach to Cognitive Systemsp. 6
The Unitary Nature of Anticipationp. 12
Anticipation in Living Organismsp. 12
Anticipatory Natural Cognitionp. 12
Anticipatory Codes in the Brainp. 15
Simulative Theories of Cognition, and Their Unifying Naturep. 18
Conclusionsp. 22
The Anticipatory Approach: Definitions and Taxonomiesp. 23
Anticipatory Systems, Anticipation, and Anticipatory Behaviorp. 23
Prediction vs. Anticipationp. 25
Predictive Capabilitiesp. 25
Anticipatory Capabilitiesp. 31
Anticipation and Goal-Oriented Behaviorp. 34
The Anticipatory Structure of Goal-Oriented Behaviorp. 35
Not All Anticipatory Behavior Is Goal-Orientedp. 36
Which Anticipations Permit Goal-Oriented Action?p. 36
The Hierarchical Organization of Anticipatory Goal-Oriented Actionp. 37
Additional Elements of True Goal-Oriented Behaviorp. 38
Anticipation and Learningp. 39
Learning to Predictp. 39
Bootstrapping Autonomous Cognitive Development: Surprise and Curiosityp. 40
From Willed to Automatic Control of Action and Vice Versa on the Basis of Surprisep. 41
Conclusionsp. 43
Benefits of Anticipations in Cognitive Agentsp. 45
Potentials for Anticipatory Systemsp. 45
Potential Benefits of Anticipatory Mechanisms on Cognitive Functionsp. 48
Effective, Context-Based Action Initiationp. 48
Faster and Smoother Behavior Executionp. 49
Improving Top-Down Attentionp. 50
Improving Information Seekingp. 51
Improving Decision Makingp. 52
Object Grounding, Categorization, and Ontologiesp. 54
Social Abilitiesp. 55
Learningp. 57
Arising Challenges Due to Anticipations and Avoiding Themp. 60
Conclusionp. 61
Models, Architectures, and Applications
Anticipation in Attentionp. 65
Introductionp. 65
Learning What to Look atp. 66
A Learning Saliency Mapp. 67
Cue-Target Learningp. 70
Cueing by a Single Stimulusp. 70
Contextual Cueingp. 72
Fovea Based Solutionp. 72
Attending to Moving Targetsp. 73
Models of Smooth Pursuitp. 75
Engineering Approachesp. 76
The State Based Approachp. 78
The Prediction Approachp. 79
The Fovea Based Approachp. 80
Combining Bottom-Up and Top-Down Processesp. 81
Anticipatory, Goal-Directed Behaviorp. 85
A Brief History of Schemasp. 87
Schema Approachesp. 88
Symbolic Schemas for Policy Learningp. 89
Symbolic Schemas and Prediction for Selectionp. 90
Neural-Based Planningp. 91
Neural Network-Based Dynamic Programmingp. 92
Inverse Model Approachesp. 92
Inverse Models in Motor Learning and Controlp. 93
Inverse Models and Schema Approachesp. 94
Advanced Structuresp. 94
Prediction and Actionp. 95
Coupled Forward-Inverse Modelsp. 97
Hierarchical Anticipatory Systemsp. 98
Evaluation of Predictive and Anticipatory Capabilitiesp. 99
Schema-Based Systemsp. 101
Inverse Model Approachesp. 106
Discussionp. 108
Contrasting Predictive System Capabilitiesp. 108
Contrasting Anticipatory System Capabilitiesp. 110
Integrationp. 112
Conclusionsp. 113
Anticipation and Believabilityp. 115
Introductionp. 115
Animation and Believabilityp. 115
Emotion and Exaggerationp. 116
Anticipationp. 117
Anticipation, Emotion, and Believabilityp. 117
Related Workp. 119
Oz Projectp. 119
EMAp. 119
Duncan the Highland Terrierp. 120
Emotivectorp. 121
Architecturep. 121
Anticipation Modelp. 122
Salience Modelp. 123
Sensation Modelp. 123
Selection Modelp. 123
Uncertaintyp. 124
Aini, the Synthetic Flowerp. 125
Emotivectors in Actionp. 125
Evaluationp. 128
iCat, the Affective Game Buddyp. 128
Emotivectors in Actionp. 129
Evaluationp. 130
Emotivector Integration in Agent Architecturesp. 132
Conclusionsp. 132
Anticipation and Emotions for Goal Directed Agentsp. 135
Introductionp. 135
Related Works in Affective Computingp. 137
Expectations and Surprisep. 139
A Typology of Expectations and Predictionsp. 139
From the Typology of Expectations to the Typology of Surprisep. 142
Roles of Surprise in Cognitive Processingp. 144
Expectations and Emotions for Goal-Directed Agentsp. 148
Expectations and Decision Makingp. 148
Situated Agents and Affective Statesp. 153
Confidence of Predictions and Modulation of the Probability Functionp. 158
Discussionp. 158
Conclusionp. 159
A Reinforcement-Learning Model of Top-Down Attention Based on a Potential-Action Mapp. 161
Introductionp. 161
Methodsp. 163
RGB Camera Inputp. 164
Saliency Map and Action Selectionp. 165
Foveap. 166
Periphery Mapp. 166
Inhibition-of-Return Mapp. 167
Potential Action Mapp. 167
Actor-Critic Modelp. 168
Parameter Settingsp. 169
The Tasksp. 169
Resultsp. 172
Learning and Performance of the Modelsp. 172
Bottom-Up Attention: Periphery Map and Inhibition-of-Return Mapp. 173
Analysis of the Vote Mapsp. 175
Capability of Learning to Stay, and of Staying, on the Targetp. 176
Potential Action Map: An Action-Oriented Memory of Cue Informationp. 177
Potential Action Map: Capacity to Integrate Multiple Sources of Informationp. 179
Conclusionsp. 182
Anticipation by Analogyp. 185
Introductionp. 185
The Anticipation by Analogy Scenariop. 186
Models of Analogy-Makingp. 188
AMBR Model of Analogy-Makingp. 191
Integrating Visual Perception and Motor Control in AMBRp. 191
Top-Down Perceptionp. 195
Attentionp. 197
Transfer of the Solutionp. 198
Action Executionp. 199
Running the Simulated Model and Comparing It with Human Datap. 200
Comparing with Human Datap. 203
Running the Real Robot Model in the Real Worldp. 204
Ikarosp. 206
AMBR2Robotp. 208
Testsp. 209
Mechanisms for Active Visionp. 211
Discussion and Conclusionp. 213
Anticipation in Coordinationp. 215
Introductionp. 215
The Prisoner's Dilemma Gamep. 216
Related Researchp. 217
Fictitious Playp. 218
Strategic Teaching and Reputation Formationp. 218
Social Order and Coordinationp. 220
Anticipation and Information Processing in Societiesp. 220
Agent Architecture and Decision Making Modelp. 221
The Modelp. 221
Judgment and Decision Makingp. 223
Game Simulations with Individual Agents: Comparison with Experimental Resultsp. 224
Comparison of the Model with Experimental Resultsp. 224
Multi-Agent Simulationsp. 227
Agent Societiesp. 228
Simulation Results and Discussionsp. 229
Conclusionp. 235
Endowing Artificial Systems with Anticipatory Capabilities: Success Casesp. 237
Introductionp. 237
Flexible Goal-Directed Arm Control: The SURE_REACH Architecturep. 238
Learning Cognitive Maps for Anticipatory Control: Time Growing Neural Gasp. 239
Learning Effective Directional Arm Control: The Evolutionary System XCSFp. 240
Anticipatory Target Motion Predictionp. 241
Anticipatory Spatial Attention with Saliency Mapsp. 242
Behavior Prediction in a Group of Robotsp. 242
Enhanced Adaptivity in a Predator-Prey Scenariop. 243
Adaptive Navigation and Control with Anticipationp. 245
Mental Experiments for Selecting Actionsp. 245
Anticipations for Believable Behaviorp. 246
Anticipatory Behavior in a Searching-for-an-Object Taskp. 247
The Role of Anticipation in Cooperation and Coordinationp. 248
Anticipatory Effects of Expectations and Emotionsp. 249
On-Line and Off-Line Anticipation for Action Controlp. 252
Conclusionp. 254
Referencesp. 255
Table of Contents provided by Ingram. All Rights Reserved.

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Rewards Program