From animals to animats 8: Proceedings of the Eighth International Conference on the Simulation of Adaptive Behavior (從動物到自適應體 8:第八屆國際自適應行為模擬會議論文集)
Stefan Schaal, Auke Jan Ijspeert, Aude Billard, Sethu Vijayakumar
- 出版商: MIT
- 出版日期: 2004-06-25
- 售價: $2,550
- 語言: 英文
- 頁數: 542
- 裝訂: Paperback
- ISBN: 0262693410
- ISBN-13: 9780262693417
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相關分類:
人工智慧、機器人製作 Robots、Machine Learning
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商品描述
Description:
The biannual International Conference on the Simulation of Adaptive Behavior brings together researchers from ethology, psychology, ecology, artificial intelligence, artificial life, robotics, engineering, and related fields to advance the understanding of 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 animals and animats. The proceedings of the eighth conference treat such topics as passive and active perception, navigation and mapping, collective and social behavior, and applied adaptive behavior.
Stefan Schaal is Associate Professor in the Department of Computer Science and the Neuroscience Program at the University of Southern California.
Auke Jan Ijspeert is SNF Assistant Professor and Head of the Biologically Inspired Robotics Group in the School of Computer and Communication Sciences at the Swiss Federal Institute of Technology, Lausanne.
Aude Billard is SNF Assistant Professor in the School of Engineering at the Swiss Federal Institute of Technology, Lausanne.
Sethu Vijayakumar is Lecturer and Head of the Statistical Learning and Motor Control Group in the School of Informatics at the University of Edinburgh.
John Hallam is Associate Professor at the University of Southern Denmark and Senior Lecturer in the School of Informatics at the University of Edinburgh.
Jean-Arcady Meyer is CNRS Research Director and Head of the AnimatLab in the Department of Computer Science at the Université Pierre and Marie Curie, Paris.
Table of Contents:
Preface THE ANIMAT APPROACH TO ADAPTIVE BEHAVIOR State of the Artificial Rat Psikharpax
David Filliat, Benoit Girard, Agnès Guillot, Mehdi Khamassi, Loic Lachèze and Jean-Arcady Meyer3 Interactions of Environment, Behavior, and Synaptic Patterns in a Neuro-Robotic Model
William H. Alexander and Olaf Sporns13 Comparative Cognitive Robotics: Using Autonomous Agents as Empirical Models of Animal Learning
Roul Sebastian John and Christian W. Werner23 Morphology and Computation
Chandana Paul33 Constructing an Animat Using 505 Sub-minds from 234 Different Authors
Ciarán O'Leary, Mark Humphrys and Ray Walshe39 May We Have Your Attention: Analysis of a Selective Attention Task
Eldan Goldenberg, Jacob Garcowski and Randall D. Beer49 Formalization of Recognition, Affordances and Learning in Isolated or Interacting Animats
Philippe Gausiier, Jean Christophe Baccon, Ken Prepin, Jacqueline Nadel and Laurence Hafemeister57 Gallery Structure Formation in Conelyborus scarabaeoides
Luc Steels67 PERCEPTION Towards a Theory of How Bats Navigate through Foliage
Jonas Reijniers and Herbert Peremans77 From Bat Pinnae to Sonar Antennae: Augmented Obliquely Truncated Horns as a Novel Parametric Shape Model
Rolf Müller and John C. T. Hallam87 Evolving Adaptive, High-Dimensional, Camera-Based Speed Sensors
Ralf Salomon96 Adaptive Object Tracking with an Anthropomorphic Robot Head
Hyundo Kim, Boris Lau and Jochen Triesch104 Morphology and Learning -- A Case Study on Whiskers
Miriam Fend, Roland Abt, Marco Diefenbacher, Simon Bovet and Martin Krafft114 Simulating Whisker Sensors -- On the Role of Material Properties for Morphology, Behavior, and Evolution
Simon Bovet, Miriam Fend and Rolf Pfeifer122 Spatiotemporal Processing of Whisker Input Supports Texture Discrimination in a Brain-Based Device
Anil Seth, Jeffrey L. McKinstry, Gerald M. Edelman and Jeffrey L. Krichmar130 A Biomimetic Whisker for Texture Discrimination and Distance Estimation
DaeEun Kim and Ralf Möller140 MOTOR CONTROL A Simple, Adaptive Locomotion Toy-System
Jonas Buchli and Auke Jan Ijspeert153 GasNets and Other Evolvable Neural Networks Applied to Bipedal Locomotion
Gary McHale and Phil Husbands163 Adaptive Locomotion in a Complex Environment: Simulation of Stick Insect Gap Crossing Behavior
Bettina Blaesing173 A Simulation Model of the Locomotion Controllers for the Nematode Caenorhabditis elegans
John Bryden and Netta Cohen183 Planning the Sequencing of Movement Primitives
Marcelo Kallmann, Robert Bargmann and Maja J. Mataric193 Biologically Inspired Adaptive Dynamic Walking of a Quadruped Robot
Hiroshi Kimura, Yasuhiro Fukuoka and Avis H. Cohen201 ACTION SELECTION AND BEHAVIORAL SEQUENCES Action Selection and Mental Transformation Based on a Chain of Forward Models
Heiko Hoffmann and Ralf Möller213 Self-Growth of Basic Behaviors in an Action Selection Based Agent
Olivier Buffet, Alain Dutech and Francois Charpillet223 Optimal and Non-Optimal Compromise Strategies in Action Selection
Frederick L. Crabbe233 Using Hormonal Feedback to Modulate Action Selection in a Competitive Scenario
Orlando Avila-Garcia and Lola Canamero243 NAVIGATION A Spiking Neuron Model of Head-Direction Cells for Robot Orientation
Thomas Degris, Loic Lachèze, Christian Boucheny and Angelo Arleo255 Navigation and Cognitive Map Formation Using Aperiodic Neurodynamics
Derek Harter and Robert Kozma264 Adaptive Motor Primitive and Sequence Formation in a Hierarchical Recurrent Neural Network
Rainer W. Paine and Jun Tani274 LEARNING AND ADAPTATION Competitive-Cooperative-Concurrent Reinforcement Learning with Importance Sampling
Eiji Uchibe and Kenji Doya287 Estimating Future Reward in Reinforcement Learning Animats Using Associative Learning
George D. Konidaris and Gillian Hayes297 Hebbian Reinforcement Learning in a Modular Dynamic Network
Emmanuel Daucé305 Learning Human-like Movement Behavior for Computer Games
Christian Thurau, Christian Bauckage and Gerhard Sagerer315 On Ashby's Homeostat: A Formal Model of Adaptive Regulation
J. Michael Herrmann, Michael Holicki and Ralf Der324 Toward a Dynamical Systems Analysis of Neuromodulation
Christopher Buckley, Seth Bullock and Netta Cohen334 Homeostatic Plasticity in Recurrent Neural Networks
Hywel Williams344 EVOLUTION Evolving Walking: The Anatomy of an Evolutionary Search
Chad W. Seys and Randall D. Beer357 The Force Model: Concept, Behavior, Interpretation
Ralf Salomon364 Evolving a Neurocontroller through a Process of Embryogeny
Diego Federici373 COLLECTIVE AND SOCIAL BEHAVIORS Coordination and Behavior Integration in Cooperating Simulated Robots
Gianluca Baldassarre, Domenico Parisi and Stefano Nolfi385 Effects of the Topology of Social Networks on Information Transmission
Jason Nobel, Simon Davy and Daniel W. Franks395 Evolving Functional Self-Assembling in a Swarm of Autonomous Robots
Vito Trianni, Elio Tuci and Marco Dorigo405 How Can a Life-like Agent Evoke Its Emotions for Users? -- A Method for Inducing Users' Natural Behaviors to Establish "Mutual Adaptation"
Takanorio Komatsu415 Hamelin: A Model for Collective Adaptation Based on Internal Stimuli
Vincent Thomas, Christine Bourjot, Vincent Chevrier and Didier Desor425 BASC, a Bottom-up Approach to Automated Design of Spatial Coordination
Fabien Flacher and Olivier Sigaud435 The More Radical, the Better: Investigating the Utility of Aggression in the Competition among Different Agent Kinds
Matthias Scheutz and Paul Schermerhorn445 Imitation in Embodied Agents Results in Self-organization of Behavior
Bart Jansen, Tom ten Thij, Tony Belpaeme, Bart De Vylder and Bart de Boer455 ADAPTIVE BEHAVIOR IN LANGUAGE AND COMMUNICATION A Connectionist Approach to Learn Association between Sentences and Behavioral Patterns of a Robot
Yuuya Sugita and Jun Tani467 Imitation Is Not Enough for Lexicon Learning
Jason Fleischer and Jonathan Shapiro477 The Sensorimotor Bases of Linguistic Structure: Experiments with Grounded Adaptive Agents
Angelo Cangelosi487 APPLIED ADAPTIVE BEHAVIOR Evolving Opponents for Interesting Interactive Computer Games
Georgios N. Yannakakis and John Hallam499 Evolvable Recovery Membranes in Self-monitoring Aerospace Vehicles
Peter Wang and Mikhail Prokopenko509 Learning to Behave: Adaptive Behavior for Planetary Surface Rovers
Terry Huntsberger and Hrand Aghazarian519 Author Index 529
商品描述(中文翻譯)
描述:
「模擬適應行為國際會議」是一個每兩年舉辦一次的會議,聚集了來自行為學、心理學、生態學、人工智慧、人工生命、機器人學、工程學等領域的研究人員,旨在推進對於自然和合成智能體(動物和仿生機器人)在不確定環境中適應和生存的行為和機制的理解。所呈現的工作主要集中在明確定義的模型(機器人、電腦模擬和數學模型)上,這些模型有助於描述和比較動物和仿生機器人的適應行為背後的各種組織原則或架構。第八屆會議的論文涵蓋了被動和主動感知、導航和地圖繪製、集體和社會行為以及應用適應行為等主題。
Stefan Schaal是南加州大學計算機科學系和神經科學計劃的副教授。
Auke Jan Ijspeert是瑞士聯邦理工學院洛桑校區計算機和通信科學學院仿生機器人研究小組的助理教授和負責人。
Aude Billard是瑞士聯邦理工學院洛桑校區工程學院的助理教授。
Sethu Vijayakumar是愛丁堡大學信息學院統計學習和運動控制小組的講師和負責人。
John Hallam是南丹麥大學副教授,也是愛丁堡大學信息學院的高級講師。
Jean-Arcady Meyer是法國巴黎皮埃爾和瑪麗居里大學計算機科學系的CNRS研究主任和AnimatLab的負責人。
目錄:
前言
動物仿生行為的方法
人工老鼠Psikharpax的狀態
環境、行為和突觸模式在神經機器人模型中的相互作用
William H. Ale