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- Gregory M. Saunders, Peter J. Angeline, and Jordan B. Pollack Laboratory for Artificial Intelligence Research
- Coevolving Communicative Behavior in a Linear PursuerEvader Game Sevan G. Ficici, Jordan B. Pollack
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- Mutualism, Parasitism, and Evolutionary Adaptation Richard A. Watson 1 Torsten Reil 2 Jordan B. Pollack 1
- A Scalable DivideandConquer Parallel Algorithm Finite State Automata and Its Applications \Lambda
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- Advanced Tutorial on Coevolution
- Introductory Tutorial on Coevolution
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- On the robustness achievable with stochastic development processes Shivakumar Viswanathan
- Automated Extraction of Problem Structure Anthony Bucci1, Jordan B. Pollack1, and Edwin de Jong2
- Solution Concepts in Coevolutionary Algorithms A Dissertation
- Towards an evolutionary-developmental approach for real-world substrates Shivakumar Viswanathan and Jordan Pollack
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- Three Generations of Automatically Designed Jordan B. Pollack, Hod Lipson, Gregory Hornby, and Pablo Funes
- Coevolutionary Dynamics in a Minimal Substrate Richard A. Watson Jordan B. Pollack
- A Game-Theoretic Investigation of Selection Methods Used in Evolutionary Algorithms
- Evolution, as trial-and-error based learning methods, usually relies on the repeatability of an experience
- Input Space Output of 1
- Symbiotic Combination as an Alternative to Sexual Recombination in Genetic Algorithms
- Exploring evolutionary learning in a simulated hockey environment
- MERL { A MITSUBISHI ELECTRIC RESEARCH LABORATORY http://www.merl.com
- Methods for Statistical Inference: Extending the Evolutionary Computation Paradigm
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- The evolution of subtle manoeuvres in simulated hockey Alan D. Blair?
- Challenges in Coevolutionary Learning: Arms-Race Dynamics, Open-Endedness, and Mediocre Stable States
- Componential Structural Simulator TECHNICAL REPORT CS-98-198
- Evolutionary Body Building: Adaptive physical designs for robots
- A Stochastic Search Approach to Grammar Induction
- A Gradient Descent Method for a Neural Fractal Ofer Melnik and Jordan Pollack, Volen Center for Complex Systems, Brandeis University, Waltham,
- Funes, P. and Pollack, J. (1997) Computer Evolution of Buildable Objects. Fourth European Conference on Artificial Life. P. Husbands and I. Harvey, eds., MIT Press. pp 358-367.
- CS-97-197 1 The Internet as a Virtual Ecology: Coevolutionary Arms
- University of Alberta Library Release Form
- Dynamics of Co-evolutionary Learning Hugues Juill e Jordan B. Pollack
- Evolution of Non-Deterministic Incremental Algorithms as a New Approach for Search in State Spaces
- REDUCED MEMORY REPRESENTATIONS FOR MUSIC Edward W. Large
- A Scalable Divide-and-Conquer Parallel Algorithm Finite State Automata and Its Applications
- COMPLETE INDUCTION OF RECURRENT NEURAL NETWORKS PETER J. ANGELINE
- Gregory M. Saunders, Peter J. Angeline, and Jordan B. Pollack Laboratory for Artificial Intelligence Research
- From the many possible perspectives in which an agent may be viewed, behavior-based AI selects
- Book Review: Allen Newell, Unified Theories of Cognition
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- Limits of Connectionism 4.1. Introduction
- Automated Assembly as Situated Development: Using Artificial Ontogenies to Evolve Buildable 3-D Objects
- Book Review No Harm Intended
- Coevolving High-Level Representations Peter J. Angeline and Jordan B. Pollack
- Compositional Evolution: Interdisciplinary Investigations in
- Pollack & Blair 21 February 25, 1997 Cliff, D. and Miller, G. (1995). Tracking the red queen: Measurements of adaptive progress in coevolution
- The secondary substrate problem in CoEvolution and
- The Advantages of Generative Grammatical Encodings for Physical Design Gregory S. Hornby
- An Evolutionary Algorithm that Constructs Recurrent Neural Networks
- Cognitive scientists, AI researchers in particular, have longrecognized the enormous benefits of modularity
- BEEweb: A Multi-Domain Platform for Reciprocal Peer-Driven Tutoring Systems
- Evolving Assembly Plans for Fully Automated Design and Assembly John Rieffel
- RoboCup Jr -Educational Report, Melbourne, August-September 2000, Sklar, Johnson and Lund. Page 1 Children Learning From Team Robotics -RoboCup Junior 2000
- How Symbiosis Can Guide Evolution Richard A. Watson Jordan B. Pollack
- Evaluating Problem Difficulty Rankings Using Sparse Student Response Data
- Evolutionary Module Acquisition Peter J. Angeline and Jordan Pollack
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- Evolution of NonDeterministic Incremental Algorithms as a New Approach for Search in State Spaces
- IMPLICATIONS OF RECURSIVE DISTRIBUTED REPRESENTATIONS
- Game Theory and the Simple Coevolutionary Algorithm: Some Preliminary Results on Fitness Sharing
- Computational Model Symbiotic Composition Evolutionary Transitions
- Funes, P. and Pollack, J. (1997) Computer Evolution of Buildable Objects. Fourth European Conference on Artificial Life. P. Husbands and I. Harvey, eds., MIT Press. pp 358367.
- Order-theoretic Analysis of Coevolution Problems: Coevolutionary Statics Anthony Bucci and Jordan B. Pollack
- Focusing versus Intransitivity Geometrical Aspects of Co-evolution
- Multiassociative Memory John F. Kolen
- Coevolutionary Learning: a Case Study Hugues Juill'e
- Coevolving the \Ideal" Trainer: Application to the Discovery of Cellular Automata Rules
- Hierarchically Consistent Test Problems for Genetic Algorithms Richard A. Watson Jordan B. Pollack
- Monotonic Solution Concepts in Coevolution Sevan G. Ficici
- Symbiotic Composition and Evolvability Richard A. Watson, and Jordan B. Pollack
- Co-Evolution in the Successful Learning of Backgammon Strategy
- Evolutionary Fabrication: The Emergence of Novel Assembly Methods in Artificial
- Competitive Environments Evolve Better Solutions for Complex Tasks
- Computer Evolution of Buildable Objects for Evolutionary Design by Computers
- CS97197 1 The Internet as a Virtual Ecology: Coevolutionary Arms
- On the robustness achievable with stochastic development processes Shivakumar Viswanathan
- Symbiotic Composition and Evolvability Richard A. Watson, and Jordan B. Pollack
- Evolving NonDeterminism: An Inventive and Efficient Tool
- Motivating Appropriate Challenges in a Reciprocal Tutoring System
- Coevolving HighLevel Representations Peter J. Angeline and Jordan B. Pollack
- Solution Concepts in Coevolutionary Algorithms A Dissertation
- A Mathematical Framework for the Study of Coevolution Anthony Bucci
- Evolving Assembly Plans for Fully Automated Design and Assembly John Rieffel
- Coevolving Intertwined Spirals Hugues Juill'e Jordan B. Pollack
- Theme Preservation and the Evolution of Representation
- Hierarchically Consistent Test Problems for Genetic Algorithms Richard A. Watson Jordan B. Pollack
- Thoughts on Solution Concepts Anthony Bucci
- We show an artificial world where animals (humans) and animats (software agents) interact in a coevolutionary
- The evolution of subtle manoeuvres in simulated hockey Alan D. Blair ? & Elizabeth Sklar ??
- IMPLICATIONS OF RECURSIVE DISTRIBUTED REPRESENTATIONS
- Escaping the Building Block / Rule Dichotomy : A Case Study Simon D. Levy
- An Evolutionary Algorithm that Constructs Recurrent Neural Networks
- The Evolution of Communication in Adaptive Agents
- Evolving Non-Determinism: An Inventive and Ecient Tool
- Incremental Co-evolution of Organisms: A New Approach for Optimization
- The Evolution of Communication in Adaptive Agents
- A SamplingBased Heuristic for Tree Search Applied to Grammar Induction
- Evolution of Controllers from a HighLevel Simulator to a High DOF Robot
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- Analysis of recombinative algorithms on a non-separable building-block problem
- DECA: Dimension Extracting Coevolutionary Algorithm Track: Coevolution
- Objective Set Compression Test-Based Problems and Multi-Objective Optimization
- A Game-Theoretic Approach to the Simple Coevolutionary Algorithm
- A GameTheoretic Investigation of Selection Methods Used in Evolutionary Algorithms
- Embodied Evolution: Embodying an Evolutionary Algorithm in a Population of Robots
- CoEvolution in the Successful Learning of Backgammon Strategy
- The Observers' Paradox: Apparent Computational Complexity in Physical Systems
- Challenges in Coevolutionary Learning: ArmsRace Dynamics, OpenEndedness, and Mediocre Stable States
- A Stochastic Search Approach to Grammar Induction
- A General Coarse-Graining Framework for Studying Simultaneous Inter-Population Constraints Induced by
- Theme Preservation and the Evolution of Representation
- Co-evolution, Determinism and Robustness Alan D. Blair1 Elizabeth Sklar2 Pablo Funes2
- Recursive Distributed Representations Jordan B. Pollack
- Theory and scope of exact representation extraction from feed-forward networks
- Modeling BuildingBlock Interdependency Richard A. Watson Gregory S. Hornby Jordan B. Pollack
- Automated Assembly as Situated Development: Using Artificial Ontogenies to Evolve Buildable 3D Objects
- Automated Extraction of Problem Structure Anthony Bucci 1 , Jordan B. Pollack 1 , and Edwin de Jong 2
- Methods for Statistical Inference: Extending the Evolutionary Computation Paradigm
- Toward a Community of Evolving Learners Elizabeth Sklar, Jordan B. Pollack
- Recombination Without Respect: Schema Combination and Disruption in Genetic Algorithm Crossover
- A Computational Model of Symbiotic Composition in Evolutionary Transitions
- TRAINING INTELLIGENT AGENTS USING HUMAN INTERNET DATA
- The secondary substrate problem in Co-Evolution and
- Evolutionary Body Building: Adaptive physical designs for robots
- How Symbiosis Can Guide Evolution Richard A. Watson Jordan B. Pollack
- Embodied Evolution: A Response to Challenges in Evolutionary Robotics
- A Gradient Descent Method for a Neural Fractal Ofer Melnik and Jordan Pollack, Volen Center for Complex Systems, Brandeis University, Waltham,
- Book Review: Allen Newell, Unified Theories of Cognition *
- Theme Preservation and the Evolution of Representation Keki M. Burjorjee
- Evolving Robust Gaits with AIBO G. S. Hornby 1 S. Takamura 2 J. Yokono 3 O. Hanagata 3 T. Yamamoto 3 M. Fujita 3
- Evolutionary Techniques in Physical Robotics Jordan B. Pollack, Hod Lipson, Sevan Ficici, Pablo Funes, Greg Hornby, and
- The Observers' Paradox: Apparent Computational Complexity in Physical Systems
- We address the fundamental issue of fully automated design (FAD) and construction of inexpensive robots and
- Evolution of Generative Design Systems for Modular Physical Gregory S. Hornby Hod Lipson Jordan B. Pollack
- Recombination Without Respect: Schema Combination and Disruption in Genetic Algorithm Crossover
- Incremental Coevolution of Organisms: A New Approach for Optimization
- Back Propagation is Sensitive to Initial Conditions John F. Kolen
- Incremental Commitment in Genetic Algorithms Richard A. Watson Jordan B. Pollack
- Evolution of Complexity in RealWorld Domains A Dissertation
- A Mathematical Framework for the Study of Coevolution Anthony Bucci
- Computer Evolution of Buildable Objects for Evolutionary Design by Computers
- Compositional Evolution: Interdisciplinary Investigations in
- The Advantages of Generative Grammatical Encodings for Physical Design Gregory S. Hornby
- In this paper1 we describe a genetic algorithm capable of
- The Teacher's Dilemma: A game-based approach for
- A Sampling-Based Heuristic for Tree Search Applied to Grammar Induction
- Coevolving Communicative Behavior in a Linear Pursuer-Evader Game Sevan G. Ficici, Jordan B. Pollack
- Thoughts on Solution Concepts Anthony Bucci
- An Endosymbiotic Model for Modular Acquisition in Stochastic Developmental Systems
- Effects of Finite Populations on Evolutionary Stable Strategies Sevan G. Ficici and Jordan B. Pollack
- Analysis of recombinative algorithms on a nonseparable buildingblock problem
- Coevolutionary Learning: Machines and Humans Schooling Together
- Evolution of Complexity in RealWorld Domains A Dissertation
- Educational Technology & Society 3(3) 2000 ISSN 1436-4522
- Creating High-level Components with a Generative Representation for Body-Brain
- Body-Brain Co-evolution Using L-systems as a Generative Encoding Gregory S. Hornby
- Coevolution, Determinism and Robustness Alan D. Blair 1 Elizabeth Sklar 2 Pablo Funes 2
- The Emergence of Ontogenic Sca olding in a Stochastic Development Environment
- Coevolving the ``Ideal'' Trainer: Application to the Discovery of Cellular Automata Rules
- This paper 1 proposes a new approach to mental imagery that has the potential for resolving an old debate. We
- Toward a Community of Evolving Learners Elizabeth Sklar, Jordan B. Pollack
- 17Massively Parallel Genetic Programming Hugues Juill e and Jordan B. Pollack
- Pareto Optimality in Coevolutionary Learning Sevan G. Ficici and Jordan B. Pollack
- Cognitive scientists, AI researchers in particular, have long-recognized the enormous benefits of modularity
- Co-evolving Intertwined Spirals Hugues Juill e Jordan B. Pollack
- We show an artificial world where animals (humans) and animats (software agents) interact in a coevolutionary
- Embodied Evolution: Embodying an Evolutionary Algorithm in a Population of Robots
- Generative Representations for Evolutionary Design Automation A Dissertation
- Using Graphs to Analyze High-Dimensional Classi ers Ofer Melnik and Jordan Pollack, Volen Center for Complex Systems
- Exact Representations from Feed-Forward Networks Ofer Melnik and Jordan Pollack, Volen Center for Complex Systems
- Focusing versus Intransitivity Geometrical Aspects of Coevolution
- Emergent Geometric Organization and Informative Dimensions in Coevolutionary
- An Endosymbiotic Model for Modular Acquisition in Stochastic Developmental Systems
- Connectionism: Past, Present, and Future Jordan B. Pollack
- Representation of Information in Neural Networks A Dissertation
- Pareto Optimality in Coevolutionary Learning Sevan G. Ficici and Jordan B. Pollack
- Automatic Modularization by Speciation Paul Darwen
- A Population-Differential Method of Monitoring Success and Failure in Coevolution
- Recursive Distributed Representations Jordan B. Pollack
- How Artificial Ontogenies Can Retard Evolution Shivakumar Viswanathan
- Scalingup RAAMs Alan D. Blair
- A General CoarseGraining Framework for Studying Simultaneous InterPopulation Constraints Induced by
- 17 Massively Parallel Genetic Programming Hugues Juill'e and Jordan B. Pollack
- Limits of Connectionism 4.1. Introduction
- Coevolutionary Dynamics in a Minimal Substrate Richard A. Watson Jordan B. Pollack
- Emergent Geometric Organization and Informative Dimensions in Coevolutionary
- Symbiotic Combination as an Alternative to Sexual Recombination in Genetic Algorithms
- MERL --A MITSUBISHI ELECTRIC RESEARCH LABORATORY http://www.merl.com
- Connectionism: Past, Present, and Future Jordan B. Pollack
- Book Editors IOS Press, 2003
- Theme Preservation and the Evolution of Representation Keki M. Burjorjee
- Componential Structural Simulator TECHNICAL REPORT CS98198
- Towards an evolutionarydevelopmental approach for realworld substrates Shivakumar Viswanathan and Jordan Pollack
- Monotonic Solution Concepts in Coevolution Sevan G. Ficici
- Evolution, as trialanderror based learning methods, usually relies on the repeatability of an experience
- A GameTheoretic Memory Mechanism for Coevolution #
- Autonomous Evolution of Gaits with the Sony Quadruped Robot G. S. Hornby \Lambda M. Fujita S. Takamura
- TRAINING INTELLIGENT AGENTS USING HUMAN INTERNET DATA
- REDUCED MEMORY REPRESENTATIONS FOR MUSIC Edward W. Large
- Coevolutionary Learning: a Case Study Hugues Juill e
- Scaling-up RAAMs Alan D. Blair
- Autonomous Evolution of Gaits with the Sony Quadruped Robot G. S. Hornby M. Fujita S. Takamura
- This paper1 proposes a new approach to mental imagery
- Competitive Environments Evolve Better Solutions for Complex Tasks
- Jr Educational Report, Melbourne, AugustSeptember 2000, Johnson Lund. Children Learning From Team Robotics
- In this paper 1 we describe a genetic algorithm capable of evolving large programs by exploiting two new genetic
- Decision Region Connectivity Analysis: A method for analyzing high-dimensional classi ers
- Ordertheoretic Analysis of Coevolution Problems: Coevolutionary Statics Anthony Bucci and Jordan B. Pollack
- Evolution of Complexity in Real-World Domains A Dissertation
- Mutualism, Parasitism, and Evolutionary Adaptation Richard A. Watson1
- Pollack & Blair 21 February 25, 1997 Cliff, D. and Miller, G. (1995). Tracking the red queen: Measurements of adaptive progress in co-evolution-
