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Proceedings of the 2001 ACM symposium on Applied computing
The anticipatory classifier system and genetic generalization
Natural Computing: an international journal
Self-Adaptive Mutation in ZCS Controllers
Real-World Applications of Evolutionary Computing, EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoROB, and EvoFlight
What Is a Learning Classifier System?
Learning Classifier Systems, From Foundations to Applications
An Introduction to Learning Fuzzy Classifier Systems
Learning Classifier Systems, From Foundations to Applications
A Learning Classifier Systems Bibliography
Learning Classifier Systems, From Foundations to Applications
Fuzzy and Crisp Representations of Real-Valued Input for Learning Classifier Systems
Learning Classifier Systems, From Foundations to Applications
A Roadmap to the Last Decade of Learning Classifier System Research
Learning Classifier Systems, From Foundations to Applications
An Algorithmic Description of XCS
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
A Bigger Learning Classifier Systems Bibliography
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
An Algorithmic Description of ACS2
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
Recent trends in learning classifier systems research
Advances in evolutionary computing
A generic architecture for adaptive agents based on reinforcement learning
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Bio-inspired systems (BIS)
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Teaching robots by moulding behavior and scaffolding the environment
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Autonomous shaping: knowledge transfer in reinforcement learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
Evolving classifiers on field programmable gate arrays: migrating XCS to FPGAs
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Nature-inspired applications and systems
An analysis of matching in learning classifier systems
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Evolving Robot Behaviour at Micro (Molecular) and Macro (Molar) Action Level
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Evolving Classifiers Ensembles with Heterogeneous Predictors
Learning Classifier Systems
Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks
Learning Classifier Systems
Problem decomposition using indirect reciprocity in evolved populations
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
A population-based approach to finding the matchset of a learning classifier system efficiently
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Semi-heterarchical Allocation and Routing Processes in FMS Control: A Stigmergic Approach
Journal of Intelligent and Robotic Systems
Limits in long path learning with XCS
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Integration of genetic programming and reinforcement learning for real robots
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Handling uncertainty in control of autonomous robots
Artificial intelligence today
IEEE Transactions on Evolutionary Computation
From baby steps to Leapfrog: how "Less is More" in unsupervised dependency parsing
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Real-world reinforcement learning for autonomous humanoid robot charging in a home environment
TAROS'11 Proceedings of the 12th Annual conference on Towards autonomous robotic systems
A biologically inspired approach to feasible gait learning for a hexapod robot
International Journal of Applied Mathematics and Computer Science - Computational Intelligence in Modern Control Systems
Artificial homeostatic system: a novel approach
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Learning in behavior-based multi-robot systems: policies, models, and other agents
Cognitive Systems Research
Measurement and the explanation of adaptive and novel behaviors in real and artificial creatures
Cognitive Systems Research
The grounding of motivation in artificial animals: Indices of motivational behavior
Cognitive Systems Research
Transfer in reinforcement learning via shared features
The Journal of Machine Learning Research
Multi agent modeling of self adaptive system for large scale complex systems
SCSC '09 Proceedings of the 2009 Summer Computer Simulation Conference
Rough Mereology in Information Systems with Applications to Qualitative Spatial Reasoning
Fundamenta Informaticae
Neuronal assembly dynamics in supervised and unsupervised learning scenarios
Neural Computation
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From the Publisher:foreword by Lashon Booker "[This] book gives a clear and comprehensive exposition of [the authors] extensive experience in integrating reinforcement learning and autonomous robotics. Their continuing contribution is to the development of a distinct engineering discipline (`Behavior engineering') through which such robots can be created. I am excited because their efforts combine some of the best theoretical ideas with a strong eye for the practical - for what will actually work." -- Stewart W. Wilson, The Rowland Institute for Science To program an autonomous robot to act reliably in a dynamic environment is a complex task. The dynamics of the environment are unpredictable, and the robots' sensors provide noisy input. A learning autonomous robot, one that can acquire knowledge through interaction with its environment and then adapt its behavior, greatly simplifies the designer's work. A learning robot need not be given all of the details of its environment, and its sensors and actuators need not be finely tuned. Robot Shaping is about designing and building learning autonomous robots. The term "shaping" comes from experimental psychology, where it describes the incremental training of animals. The authors propose a new engineering discipline, "behavior engineering," to provide the methodologies and tools for creating autonomous robots. Their techniques are based on classifier systems, a reinforcement learning architecture originated by John Holland, to which they have added several new ideas, such as "mutespec," classifier system "energy," and dynamic population size. In the book they present Behavior Analysis and Training (BAT) as an example of a behavior engineering methodology.