| Preface |
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| THE ANIMAT APPROACH TO ADAPTIVE BEHAVIOR |
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Constructing Complex Minds through Multiple Authors |
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3 | (10) |
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Agent-based Modelling and the Environmental Complexity Thesis |
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13 | (14) |
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| PERCEPTION AND MOTOR CONTROL |
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27 | (9) |
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Environment- Specific Novelty Detection |
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36 | (10) |
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Navigation in Unforeseeable and Unstable Environments: A Taxonomy of Environments |
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46 | (2) |
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On the Use of Sensors in Self-Reconfigurable Robots |
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48 | (10) |
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Whisking: An Unexplored Sensory Modality |
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58 | (2) |
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Using IIDs to Estimate Sound Source Direction |
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60 | (2) |
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Visual Orientation and Motion Control of MAKRO - Adaptation to the Sewer Environment |
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62 | (8) |
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Adaptive Leg Placement Strategies in the Fruit Fly Set an Example for Six-legged Walking Systems |
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70 | (5) |
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| ACTION SELECTION AND BEHAVIORAL SEQUENCES |
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Comparing a Brain-inspired Robot Action Selection Mechanism with Winner-takes-all |
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75 | (10) |
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Simulations of Learning and Behaviour in the Hawkmoth Deilephila elpenor |
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85 | (8) |
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Behaviour Selection on a Mobile Robot using W-learning |
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93 | (10) |
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Behavior Coordination for a Mobile Visuo-Motor System in an Augmented Real-World Environment |
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103 | (2) |
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Compromise Candidates in Positive Goal Scenarios |
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105 | (2) |
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A Context-based Architecture for General Problem Solving |
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107 | (11) |
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An Activation Based Behaviour Control Architecture for Walking Machines |
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118 | (9) |
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Relating Behavior Selection Architectures to Environmental Complexity |
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127 | (4) |
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| INTERNAL WORLD MODELS AND PROCESSES |
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Global Localization and Topological Map Learning for Robot Navigation |
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131 | (10) |
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Cortico-Hippocampal Maps and Navigation Strategies in Robots and Rodents |
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141 | (10) |
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Learning to Autohomously Select Landmarks for Navigation and Communication |
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151 | (10) |
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Localization of Function in Neurocontrollers |
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161 | (10) |
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Articulation of Sensory-Motor Experiences by ``Forwarding Forward Model'': From Robot Experiments to Phenomenology |
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171 | (10) |
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Learning Default Mappings and Exception Handling |
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181 | (4) |
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| SELF-ORGANIZATION AND LEARNING |
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Self-Organisation in a Simple Task of Motor Control |
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185 | (10) |
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Timed Delivery of Reward Signals in an Autonomous Robot |
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195 | (10) |
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Using Markovian Decision Problems to Analyze Animal Performance in Random and Variable Ratio Schedules of Reinforcement |
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205 | (10) |
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Testing the Ecological Rationality of Base Rate Neglect |
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215 | (9) |
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Asynchronous Learning by Emotions and Cognition |
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224 | (2) |
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Behaviour Control Using a Functional and Emotional Model |
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226 | (2) |
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The Road Sign Problem Revisited: Handling Delayed Response Tasks with Neural Robot Controllers |
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228 | (2) |
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Development of the First Sensory-Motor Stages: A Contribution to Imitation |
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230 | (2) |
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Introducing Chronicity: A Quantitative Measure of Self/Non-self in the Immune Response |
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232 | (10) |
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The Digital Hormone Model for Self-Organization |
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242 | (5) |
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| EVOLUTION |
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Active Vision and Feature Selection in Evolutionary Behavioral Systems |
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247 | (9) |
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Genetic Programming for Robot Vision |
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256 | (10) |
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Active Perception: A Sensorimotor Account of Object Categorization |
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266 | (6) |
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Levels of Dynamics and Adaptive Behavior in Evolutionary Neural Controllers |
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272 | (10) |
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Evolving Integrated Controllers for Autonomous Learning Robots using Dynamic Neural Networks |
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282 | (10) |
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Using a Net to Catch a Mate: Evolving CTRNNs for the Dowry Problem |
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292 | (11) |
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Fast Homeostatic Neural Oscillators Induce Radical Robustness in Robot Performance |
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303 | (2) |
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A Method for Isolating Morphological Effects on Evolved Behaviour |
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305 | (7) |
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An Evolutionary Approach to Quantify Internal States Needed for the Woods Problem |
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312 | (11) |
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Evolution of Efficient Swimming Controllers for a Simulated Lamprey |
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323 | (10) |
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Evolving Hierarchical Coordination in Simulated Annelid Locomotion |
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333 | (2) |
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Evolution of a Circuit of Spiking Neurons for Phototaxis in a Braitenberg Vehicle |
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335 | (10) |
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Small is Beautiful: Near Minimal Evolutionary Neurocontrollers Obtained With Self-Organizing Compressed Encoding |
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345 | (2) |
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How Useful is Lifelong Evolution for Robotics? |
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347 | (2) |
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Evolvability and Analysis of Robot Control Networks |
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349 | (2) |
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Co-evolving Robot Soccer Behavior |
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351 | (2) |
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Conditions for the Evolution of Mimicry |
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353 | (2) |
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Ecological Disturbance Maintains and Promotes Biodiversity in an Artificial Plant Ecology |
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355 | (4) |
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| COLLECTIVE AND SOCIAL BEHAVIOR |
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Competitive Foraging, Decision Making, and the Ecological Rationality of the Matching Law |
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359 | (10) |
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Multi-object Segregation: Ant-like Brood Sorting Using Minimalism Robots |
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369 | (2) |
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Building Adaptive Structure Formations with Decentralised Control and Coordination |
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371 | (2) |
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Minimalist Coherent Swarming of Wireless Networked Autonomous Mobile Robots |
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373 | (10) |
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Sharing a Charging Station without Explicit Communication in Collective Robotics |
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383 | (2) |
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Towards a Quantitative Analysis of Individuality and its Maintenance |
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385 | (2) |
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Learning Social Behaviors without Sensing |
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387 | (2) |
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Spatial Coordination through Social Potential Fields and Genetic Algorithms |
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389 | (2) |
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Learning in Multi-Robot Scenarios through Physically Embedded Genetic Algorithms |
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391 | (2) |
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Designing Social Force: Control for Collective Behavior of Learning Individuals |
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393 | (2) |
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Sequential Task Execution in a Minimalist Distributed Robotic System |
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395 | (2) |
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Fleet Dynamics and Information Exchange Simulation Modeling with Artificial Neural Networks |
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397 | (2) |
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What is Important for Realizing an Autonomous Interactive Robot? |
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399 | (2) |
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Synthetic Social Relationships in Animated Virtual Characters |
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401 | (2) |
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Can a Dog tell the Difference ? Dogs Encounter AIBO, an Animal-like Robot in Two Social Situations |
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403 | (2) |
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Exploring the Impact of Contextual Input on the Evolution of Word-meaning |
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405 | (2) |
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Phonemic Coding Might Result from Sensory-Motor Coupling Dynamics |
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407 | (10) |
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Language Adaptation Helps Language Acquisition |
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417 | (2) |
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| Author Index |
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419 | |
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