From Animals to Animats 6

Proceedings of the Sixth International Conference on Simulation of Adaptive Behavior

The Animals to Animats Conference brings together researchers from ethology, psychology, ecology, artificial intelligence, artificial life, robotics, engineering, and related fields to further understanding of the behaviors and underlying mechanisms that allow natural and synthetic agents (animats) to adapt and survive in uncertain environments. The work presented focuses on well-defined models—robotic, computer-simulation, and mathematical—that help to characterize and compare various organizational principles or architectures underlying adaptive behavior in both natural animals and animats.

Table of Contents

  1. Preface
  2. 1. From SAB94 to SAB2000: What's New, Animat?
  3. 2. Elements of Viability Theory for Animat Design
  4. 3. On the role of morphology and materials in adaptive behavior
  5. 4. On the relation among morphology, material and control in morpho-functional machines
  6. 5. Experience-Dependent Perceptual Categorization in a Behaving Real-World Device
  7. 6. The Epsilon State Count
  8. 7. Connecting Brains to Robots: an Artificial Animal for the Study of Learning in Vertebrate Nervous Systems
  9. 8. Designing artificial ears for animat echolocation
  10. 9. Reactive Maze Solving with a Biologically-Inspired Wind Sensor
  11. 10. Visual tracking in simulated salamander locomotion
  12. 11. Adaptive image stabilization: a need for vision-based active robotic agents
  13. 12. Neural Oscillator Networks for Rhythmic Control of Animats
  14. 13. On 'Parts' and 'Wholes' of Adaptive Behavior: Functional Modularity and Diachronic Structure in Recurrent Neural Robot Controllers
  15. 14. Telerobotic Sheepdogs: how useful is autonomous behaviour?
  16. 15. Generating Interactive Robot Behavior: A Mathematical Approach
  17. 16. Hierarchy and Sequence vs. Full Parallelism in Action Selection
  18. 17. An embodied model of action selection mechanisms in the vertebrate brain
  19. 18. Learning to Integrate Reactive and Planning Behaviors for Construction
  20. 19. The Role of Behavioral Extinction in Animat Action Selection
  21. 20. Detecting Novel Features of an Environment Using Habituation
  22. 21. Extraction and inversion of abstract sensory flow representations
  23. 22. Micronavigation
  24. 23. Computer Simulation of Long-Range Bird Navigation
  25. 24. Neural network approach to path integration for homing navigation
  26. 25. Modeling Rodent Head-direction Cells and Place Cells for Spatial Learning in Bio-mimetic Robotics
  27. 26. Active Perception and Map Learning for Robot Navigation
  28. 27. A Computational Model of Context Processing
  29. 28. From Navigation to Active Object Recognition
  30. 1. Simulating Classical Conditioning using a Neuro-Connector Net
  31. 29. First Cognitive Capabilities in the Anticipatory Classifier System
  32. 30. Obstacle Avoidance for a Distributed Autonomous Swimming Robot by Interaction-Based Learning
  33. 31. Evolutionary Design of Learning State Space for Small Airship Control
  34. 32. Multi-Agent Reinforcement Learning with Bidding for Segmenting Action Sequences
  35. 33. Partitioning in Multi-Agent Reinforcement Learning
  36. 34. Adaptive Agents with Reinforcement Learning and Interal Memory
  37. 35. Learning in Categorizable Environments
  38. 36. Imitation: learning and communication
  39. 37. Utilising a Cerebellar Model for Mobile Robot Control in a Delayed Sensory Environment
  40. 38. Observation and Imitation: Goal Sequence Learning in Neurally Controlled Construction Animats: VI-MAXSON
  41. 39. A Computational Model of Emotional Learning in the Amygdala
  42. 40. Sexual Preferences: Dimension and Complexity
  43. 41. Visual resolution evolving to a trade-off curve
  44. 42. Evolving Visually-Guided Robots Able to Discriminate Between Different Landmarks
  45. 43. Investigating Morphological Symmetry and Locomotive Efficiency using Virtual Embodied Evolution
  46. 44. Further Experiments in the Evolution of Minimally Cognitive Behavior: From Perceiving Affordances to Selective Attention
  47. 45. Homeostatic adaptation to inversion of the visual field and other sensorimotor disruptions
  48. 46. Measuring Progress in Coevolutionary Competition
  49. 47. Self-Adaptive Mutation in Classifier System Controllers
  50. 48. Unorthodox Optimal Foraging Theory
  51. 49. Talk is Cheap: Evolved strategies for communication and action in asymmetrical animal contests
  52. 50. Go ahead, make my day: Robot conflict resolution by aggressive competition
  53. 51. Using Information Theory Approach to study the Communication System and Numerical Competence in Ants
  54. 52. Effective Learning Approach for Planning and Scheduling in Multi-agent Domain
  55. 53. Issues of Robot-Human Interaction Dynamics in the Rehabilitation of Children with Autism
  56. 54. An evolutionary approach to guiding students in an educational game
  57. Author Index