J. Pollack

Jordan B. Pollack, Hod Lipson, Gregory Hornby, 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

Recursive Distributed Representations

Jordan B. Pollack, J. Pollack, 1990, Artif. Intell..

Evolutionary Body Building: Adaptive Physical Designs for Robots

Jordan B. Pollack, Pablo Funes, J. Pollack, 1998, Artificial Life.

Competitive Environments Evolve Better Solutions for Complex Tasks

Peter J. Angeline, Jordan B. Pollack, J. Pollack, 1993, ICGA.

Language Induction by Phase Transition in Dynamical Recognizers

Jordan B. Pollack, J. Pollack, 1990, NIPS.

Using Pictures to Visualize the Complexity of Gene Regulatory Networks

Jordan B. Pollack, Sylvain Cussat-Blanc, J. Pollack, 2012, ALIFE.

Learning Navigational Behaviors using a Predictive Sparse Distributed Memory

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Emergent Hierarchical Control Structures: Learning Reactive/Hierarchical Relationships in Reinforcement Environments

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

A game-theoretic investigation of selection methods used in evolutionary algorithms

J. Pollack, S. Ficici, O. Melnik, 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

The Evolutionary Induction of Subroutines

J. Pollack, P. Angeline, 1997 .

Escaping the Building Block / Rule Dichotomy : A Case Study

J. Pollack, S. Levy, 2003 .

Learning to Use Selective Attention and Short-Term Memory in Sequential Tasks

Maja J. Matarić, Jean-Arcady Meyer, Jordan B. Pollack, 1996 .

Backpropagation is Sensitive to Initial Conditions

John F. Kolen, Jordan B. Pollack, J. Pollack, 1990, Complex Syst..

Pareto Optimality in Coevolutionary Learning

Jordan B. Pollack, Sevan G. Ficici, J. Pollack, 2001, ECAL.

A Finer-Grained Motivational Model of Behaviour Sequencing

Stewart W. Wilson, P. Maes, M. Matarić, 1996 .

Categorization in a real-world agent using haptic exploration and active perception

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Functional Freeform Fabrication for Physical Artificial Life

J. Pollack, R. Watson, P. Husbands, 2004 .

A Game-Theoretic Approach to the Simple Coevolutionary Algorithm

Jordan B. Pollack, Sevan G. Ficici, J. Pollack, 2000, PPSN.

Compositional evolution: interdisciplinary investigations in evolvability, modularity, and symbiosis

J. Pollack, R. Watson, 2002 .

Hierarchically Consistent Test Problems for Genetic Algorithms: Summary and Additional Results

J. Pollack, R. Watson, 1999 .

Tracking Information Flow through the Environment: Simple Cases of Stigmergy

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

First Three Generations of Evolved Robots

Jordan B. Pollack, Hod Lipson, Gregory Hornby, 2001, EvoRobots.

Homeostasis and Rein Control: From Daisyworld to Active Perception

J. Pollack, R. Watson, P. Husbands, 2004 .

Embodied Evolution: Distributing an evolutionary algorithm in a population of robots

Jordan B. Pollack, Richard A. Watson, Sevan G. Ficici, 2002, Robotics Auton. Syst..

Evolving Physical Creatures

Hod Lipson, J. Pollack, 2000 .

Postural primitives: Interactive Behavior for a Humanoid Robot Arm

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Massively Parallel Parsing: A Strongly Interactive Model of Natural Language Interpretation

Jordan B. Pollack, David L. Waltz, D. Waltz, 1988, Cogn. Sci..

Action Selection methods using Reinforcement Learning

Maja J. Matarić, Jean-Arcady Meyer, Jordan B. Pollack, 1996 .

Toward the Evolution of Dynamical Neural Networks for Minimally Cognitive Behavior

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Reducing bloat and promoting diversity using multi-objective methods

Edwin D. de Jong, Jordan B. Pollack, Richard A. Watson, 2001 .

Boom and Bust: Environmental Variability Favors the Emergence of Communication

J. Pollack, R. Watson, P. Husbands, 2004 .

Ideal Evaluation from Coevolution

Edwin D. de Jong, Jordan B. Pollack, J. Pollack, 2004, Evolutionary Computation.

Building “Fungus Eaters”: Design Principles of Autonomods Agents

Stewart W. Wilson, P. Maes, M. Matarić, 1996 .

Self-Taught Visually-Guided Pointing for a Humanoid Robot

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Exact representations from feed-forward networks

Jordan B. Pollack, Ofer Melnik, J. Pollack, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

A New Control Architecture Combining Reactivity, Planning, Deliberation and Motivation for Situated Autonomous Agent

Stewart W. Wilson, P. Maes, M. Matarić, 1996 .

Order-theoretic Analysis of Coevolution Problems: Coevolutionary Statics

J. Pollack, Anthony Bucci, 2007 .

Evolving L-systems to generate virtual creatures

Jordan B. Pollack, Gregory Hornby, J. Pollack, 2001, Comput. Graph..

The induction of dynamical recognizers

Jordan B. Pollack, J. Pollack, 1996 .

Sexual reproduction and Muller's ratchet in digital organisms

J. Pollack, R. Watson, P. Husbands, 2004 .

An Evolvable Artificial Chemistry Featuring Continuous Physics and Discrete Reactions

J. Pollack, R. Watson, P. Husbands, 2004 .

Learning With A Competitive Population

J. Pollack, P. Angeline, 1993 .

The secondary substrate problem in co-evolution and developmental-evolution

J. Pollack, S. Viswanathan, 2007 .

Mutualism, Parasitism, and Evolutionary Adaptation

Richard A. Watson, Torsten Reil, Jordan Pollack, 2000 .

Agents for Education Bringing Adaptive Behavior to an Internet Learning Community

J. Pollack, E. Sklar, 2008 .

What makes a good coevolutionary learning environment ?

J. Pollack, A. Blair, 1997 .

The Chemoton: A Model for the Origin of Long RNA Templates.

J. Pollack, R. Watson, P. Husbands, 2004 .

SAB 98 submission Title : When Food is Better than Sex : Messy Variations on the GA

J. Pollack, R. Watson, G. Hornby, 2008 .

Hierarchically-Consistent GA Test Problems

J. Pollack, R. Watson, 2007 .

Hierarchical Building-Block Problems for GA Evaluation 3

J. Pollack, R. Watson, G. Hornby, 2007 .

Hierarchically consistent test problems for genetic algorithms

J. Pollack, R. Watson, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

AD-A 268 680 1 I IIHI / iI I I 11 1 1 11 11 1 11 111 iii OHIO High-Level Connectionist Models STATE

Angéline, J. Pollack, G. M. Saunders, 2022 .

The Advantagesof GenerativeGrammatical Encodingsfor Physical Design

J. Pollack, 2001 .

Developmental Encodings Promote the Emergence of Hierarchical Modularity

J. Pollack, Jessica Lowell, 2016, ALIFE.

The Major Evolutionary Transitions , Symbiotic Composition , and Implications for Evolvability

J. Pollack, R. Watson, 2001 .

DETC 2001 / DAC-21099 PROMOTING MODULARITY IN EVOLUTIONARY DESIGN

Hod Lipson, J. Pollack, 2001 .

Embodied Evolution : A Response toChallenges in Evolutionary

J. Pollack, R. Watson, RoboticsSevan G. Ficici, 1999 .

Coevolutionary robotics

Jordan B. Pollack, Hod Lipson, Gregory Hornby, 1999, Proceedings of the First NASA/DoD Workshop on Evolvable Hardware.

17 Massively Parallel Genetic Programming

J. Pollack, Hugues Juill, 1996 .

Expanding Human Cognition and Communication

Robert E. Horn, Warren Robinett, Jack M. Loomis, 2003 .

Fractal (Reconstructive Analogue) Memory

Jordan B. Pollack, David J. Stucki, J. Pollack, 1992 .

No harm intended: Marvin L. Minsky and Seymour A. Papert. Perceptrons: An Introduction to Computational Geometry, Expanded Edition. Cambridge, MA: MIT Press, 1988. Pp. 292. $12.50 (paper)

Jordan B. Pollack, J. Pollack, 1989 .

Category : Genetic Algorithms Incremental Commitment in Genetic Algorithms

J. Pollack, R. Watson, 1999 .

Human Simulation of Adaptive Behavior: Interactive studies of pursuit, evasion, courtship, fighting, and play

Maja J. Matarić, Jean-Arcady Meyer, Jordan B. Pollack, 1996 .

The Quantum Coreworld: Competition and Cooperation in an Artificial Ecology

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

An Evolving and Developing Cellular Electronic Circuit

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

Gene Regulatory Network Evolution Through

J. Pollack, Sylvain Cussat-Blanc, K. Harrington, 2015 .

Allen Newell , Unified Theories of Cognition *

J. Pollack, 1997 .

The upper clouds of Venus : determination of the scale height from NIMS- Galileo infrared data

J. Pollack, T. Encrenaz, P. Drossart, 1993 .

Modeling Multicellular and Tumorous Existence with Genetic Cellular Automata

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

Direct numerical simulations of turbulent convection: II. variable gravity and differential rotation

J. Pollack, W. Cabot, 1992 .

Infinite RAAM : A Principled Connectionist Substrate for Cog nitive Modeling

J. Pollack, S. Levy, 2001 .

RAAM for In nite Context-Free Languages

J. Pollack, O. Melnik, S. Levy, 2000 .

A Gradient Descent Method for a Neural

J. Pollack, FractalMemoryOfer Melnik, 1998 .

Reinforcement Learning and Animat Emotions

Maja J. Matarić, Jean-Arcady Meyer, Jordan B. Pollack, 1996 .

Systems Biology Thought Experiments in Human Genetics Using Artificial Life and Grammatical Evolution

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

Compositional Autoconstructive Dynamics

J. Pollack, L. Spector, Emma Tosch, 2011 .

See How She Runs: Towards Visualising Artificial Red Queen Evolution

J. Pollack, R. Watson, P. Husbands, 2004 .

High-Level Connectionist Models - Workshop Report

Jordan B. Pollack, J. Pollack, 1988, The AI Magazine.

On Simulating the Evolution of Communication

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Cooperative Versus Competitive System Elements in Coevolutionary Systems

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

The Resilience of a Swarm Ecosystem Under Environmental Variation

J. Pollack, Jessica Lowell, K. Harrington, 2014 .

A unicellular walker controlled by a microtubule-based finite-state machine

J. Pollack, W. Marshall, B. Larson, 2021, Current Biology.

Collective Behavior by Modular Reinforcement-Learning Animats

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Evolving Imitating Agents and the Emergence of a Neural Mirror System

J. Pollack, R. Watson, P. Husbands, 2004 .

PHENOMENOLOGICALLY PLAUSIBLE PARSIBJG

D. Waltz, J. Pollack, 1999 .

Multiassociative Memory

J. Pollack, J. Kolen, 1991 .

The Experimental Study and Computer Simulation of Fish Behavior in the Uniform Environment

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Co-evolution of Pursuit and Evasion II: Simulation Methods and Results

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

The Engineering of Mind

Maja J. Matarić, Jean-Arcady Meyer, Jordan B. Pollack, 1996 .

Adaptive animat navigation based on a flexibility model for the environment

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Synthetic Robotic Language Acquisition by Observation

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Towards Adaptive Behaviour System Integration using Connectionist Infinite State Automata

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Internal World Models and Navigation

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Evaluating an Evolutionary Approach for Reconstructing Gene Regulatory Networks

J. Pollack, R. Watson, P. Husbands, 2004 .

A model of operant conditioning for adaptive obstacle avoidance

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Sexual Swimmers: Emergent Morphology and Locomotion Without a Fitness Function

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Oscillation-enhanced adaptability in the vicinity of a bifurcation: the example of foraging in ants

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

BackProp: A Tool for Learning About Connectionist Architectures.

James A. Hendler, Jordan Pollack, Matthew P. Evett, 1988 .

An Evolved Fuzzy Reactive Control System for Co-Operating Autonomous Robots

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Parallel Interpretation of Natural Language

Jordan B. Pollack, David L. Waltz, D. Waltz, 1984, FGCS.

Training Intelligent Agents Using Human Data Collected on the Internet

Elizabeth Sklar, Jordan B. Pollack, Alan D. Blair, 2001 .

Genetic and Evolutionary Computation Conference 2008 : GECCO 2008

Julian F. Miller, Giuliano Antoniol, Maarten Keijzer, 2008, GECCO 2008.

Locating Odor Sources in Turbulence with a Lobster Inspired Robot

Maja J. Matarić, Jean-Arcady Meyer, Jordan B. Pollack, 1996 .

Úóðùøøóòòöý Ì Blockinòòõùù× Ò Èèý×× Blockin Blockinð Êóóóøø Blockin× Âóöööò º Èóððð Blockin¸ Àó Ääô×óò¸ëëúò¸èðó Ùòò×¸ööö Àóöòý¸òò Êê Blockinöö º Ïø×óò

Hod Lipson, J. Pollack, R. Watson, 2007 .

Co-Evolution in the Successful Learning of Backgammon Strategy

Jordan B. Pollack, Alan D. Blair, J. Pollack, 1998, Machine Learning.

Solution concepts in coevolutionary algorithms

J. Pollack, S. Ficici, 2004 .

Evolutionary Techniques in Physical Robotics

Jordan B. Pollack, Richard A. Watson, Hod Lipson, 2000, ICES.

Coevolution of a Backgammon Player

Jordan B. Pollack, Alan D. Blair, J. Pollack, 1996 .

Centrally-generated and reflexive control strategies in the adaptive behavior of real and simulated animals

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Computer Evolution of Buildable Objects for Evolutionary Design by Computers

Jordan B. Pollack, Pablo Funes, J. Pollack, 1998 .

Co-Evolving Intertwined Spirals

Jordan B. Pollack, Hugues Juillé, J. Pollack, 1996, Evolutionary Programming.

A game-theoretic and dynamical-systems analysis of selection methods in coevolution

Jordan B. Pollack, Ofer Melnik, Sevan G. Ficici, 2005, IEEE Transactions on Evolutionary Computation.

An Evolutionary Approach to Complex System Regulation Using Grammatical Evolution

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

Evolutionary fabrication: the co-evolution of form and formation

Jordan B. Pollack, John Rieffel, J. Pollack, 2006 .

Generative representations for evolutionary design automation

Gregory S. Hornby, Jordan B. Pollack, J. Pollack, 2003 .

On Self-referential Shape Replication in Robust Aerospace Vehicles

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

A Tangled Hierarchy of Graph-Constructing Graphs

Phil Husbands, Jordan B. Pollack, Richard A. Watson, 2004 .

The induction of dynamical recognizers

Jordan B. Pollack, J. Pollack, 1991, Machine Learning.

Logical computation on a fractal neural substrate

Jordan B. Pollack, Simon D. Levy, J. Pollack, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Infinite RAAM : A Principled Connectionist Substrate for Cog nitive Modeling

J. Pollack, S. Levy, 2001 .

RAAM for infinite context-free languages

Jordan B. Pollack, Ofer Melnik, Simon D. Levy, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Infinite RAAM: A Principled Connectionist Basis for Grammatical Competence

Jordan B. Pollack, Simon D. Levy, O. Melnik, 2000 .

The observers' paradox: apparent computational complexity in physical systems

John F. Kolen, Jordan B. Pollack, J. Pollack, 1995, J. Exp. Theor. Artif. Intell..

Reduced Memory Representations for Music

Jordan B. Pollack, Edward W. Large, Caroline Palmer, 1995, Cogn. Sci..

On Wings of Knowledge: A Review of Allen Newell's Unified Theories of Cognition

Jordan B. Pollack, J. Pollack, 1993, Artif. Intell..

Implications of Recursive Distributed Representations

Jordan B. Pollack, J. Pollack, 1988, NIPS.

Natural Language Processing Using Spreading Activation and Lateral Inhibition.

Jordan Pollack, J. Pollack, 1982 .

Modeling Building-Block Interdependency

Jordan B. Pollack, Richard A. Watson, Gregory Hornby, 1998, PPSN.

Closing the loop: Evolving a model-free visually guided robot arm

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

Designed and Evolved Blueprints For Physical Self-Replicating Machines

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

Evolution of complexity in real-world domains

J. Pollack, Pablo Funes, 2001 .

Measuring Progress in Coevolutionary Competition

Jordan B. Pollack, Pablo Funes, J. Pollack, 2000 .

Evolutionary dynamics of finite populations in games with polymorphic fitness equilibria.

J. Pollack, S. Ficici, Sevan G Ficici, 2007, Journal of theoretical biology.

Symbiotic Composition and Evolvability

Jordan B. Pollack, Richard A. Watson, J. Pollack, 2001, ECAL.

Chaotic Population Dynamics and the Evolution of Aging

J. Pollack, R. Watson, P. Husbands, 2004 .

Co-evolutionary learning on noisy tasks

Paul J. Darwen, J. B. Pollack, J. Pollack, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

The Role of Nearly Neutral Mutations in the Evolution of Dynamical Neural Networks

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

Modular Interdependency in Complex Dynamical Systems

Jordan B. Pollack, Richard A. Watson, J. Pollack, 2005, Artificial Life.

Measuring Biological Complexity in Digital Organisms

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

The Effects of Finite Populations and Selection on the Emergence of Signaling

Jordan B. Pollack, Kyle Ira Harrington, A. Pinar Ozisik, 2012, ALIFE.

High-level connectionist models

Jordan B. Pollack, John A. Barnden, J. Pollack, 1988 .

The Flexible Balance of Evolutionary Novelty and Memory in the Face of Environmental Catastrophes

Phil Husbands, Jordan B. Pollack, Richard A. Watson, 2004 .

Cracking the Egg: Virtual Embryogenesis of Real Robots

Sylvain Cussat-Blanc, Jordan Pollack, J. Pollack, 2014, Artificial Life.

A cell-based developmental model to generate robot morphologies

Jordan B. Pollack, Sylvain Cussat-Blanc, J. Pollack, 2012, GECCO '12.

Minimum cost and the emergence of the Zipf-Mandelbrot law

Paul Vogt, J. Pollack, R. Watson, 2004 .

Coevolutionary Neural Population Models pdf

Jordan B. Pollack, Nick Moran, J. Pollack, 2018, ALIFE.

Artificial Life IX: Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems

Phil Husbands, Jordan B. Pollack, Takashi Ikegami, 2004 .

Updating Schemes in Random Boolean Networks: Do They Really Matter?

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

Domino tilings of rectangles with fixed width

Jordan Pollack, David Klarner, J. Pollack, 1980, Discret. Math..

Spatial exploration, map learning, and self-positioning with MonaLysa

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

On the robustness achievable with stochastic development processes

Jordan B. Pollack, Shivakumar Viswanathan, J. Pollack, 2005, 2005 NASA/DoD Conference on Evolvable Hardware (EH'05).

Incremental Self-Improvement for Life-Time Multi-Agent Reinforcement Learning

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Song Grammars as Complex Sexual Displays

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

Evolution of Plastic Sensory-motor Coupling and Dynamic Categorization

Phil Husbands, Jordan B. Pollack, Richard A. Watson, 2004 .

Challenges in coevolutionary learning: arms-race dynamics, open-endedness, and medicocre stable states

J. Pollack, S. Ficici, 1998 .

Imaging analysis of clock neurons: light buffers the wake-promoting effect of dopamine

J. Pollack, M. Rosbash, Pengyu Hong, 2011, Nature Neuroscience.

Multi-Objective Methods for Tree Size Control

Edwin D. de Jong, Jordan B. Pollack, J. Pollack, 2003, Genetic Programming and Evolvable Machines.

The Resistance of Swarm Ecosystem Under Environmental Variation

Jordan B. Pollack, Jessica Lowell, Kyle Harrington, 2014, ALIFE.

Zipper-based Meta-Genetic Programming

Jordan Pollack, Kyle Harrington, J. Pollack, 2011 .

Recombination Without Respect: Schema Combination and Disruption in Genetic Algorithm Grossover

Jordan B. Pollack, Richard A. Watson, J. Pollack, 2000, GECCO.

Incremental commitment in genetic algorithms

Jordan B. Pollack, Richard A. Watson, J. Pollack, 1999 .

Asymmetric cell division and its integration with other developmental processes for artificial evolutionary systems

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

Statistical Reasoning Strategies in the Pursuit and Evasion Domain

Jordan B. Pollack, Sevan G. Ficici, J. Pollack, 1999, ECAL.

Emergent geometric organization and informative dimensions in coevolutionary algorithms

Jordan B. Pollack, Anthony Bucci, J. Pollack, 2007 .

Towards Metrics and Visualizations Sensitive to Coevolutionary Failures

Jordan B. Pollack, Ari Bader-Natal, Ari Bader-Natal, 2005, AAAI Fall Symposium: Coevolutionary and Coadaptive Systems.

THREE GENERATIONS OF COEVOLUTIONARY ROBOTICS

Gregory S. Hornby, Jordan B. Pollack, Hod Lipson, 2003 .

Animal-animat coevolution: using the animal population as fitness function

Elizabeth Sklar, Jordan B. Pollack, Pablo Funes, 1998 .

Automated Extraction of Problem Structure

Edwin D. de Jong, Jordan B. Pollack, Anthony Bucci, 2004, GECCO.

Selection in Coevolutionary Algorithms and the Inverse Problem

Jordan B. Pollack, Sevan G. Ficici, O. Melnik, 2004 .

The Teacher's Dilemma: A Game-Based Approach for Motivating Appropriate Challenge Among Peers

Ari Bader-Natal, J. Pollack, 2011 .

Methods for statistical inference: extending the evolutionary computation paradigm

Jordan B. Pollack, Hugues Juillé, J. Pollack, 1999 .

Combination and Recombination in Genetic Algorithms

Jordan B. Pollack, Richard A. Watson, J. Pollack, 2000 .

Autoconstructive evolution for structural problems

Jordan B. Pollack, Lee Spector, Una-May O'Reilly, 2012, GECCO '12.

Coevolving communicative behavior in a linear pursuer-evadergame

Jordan B. Pollack, Sevan G. Ficici, J. Pollack, 1998 .

What Makes a Good Co-Evolutionary Learning Environment?

Jordan B. Pollack, Alan D. Blair, J. Pollack, 1997 .

Dynamics of Co-evolutionary Learning

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

On the Coevolutionary Construction of Learnable Gradients

Jordan B. Pollack, Shivakumar Viswanathan, J. Pollack, 2005, AAAI Fall Symposium: Coevolutionary and Coadaptive Systems.

Evolutionary Module Acquisition

Peter J. Angeline, Jordan B. Pollack, J. Pollack, 1993 .

Backpropagation without weight transport

J. F. Kolen, J. B. Pollack, J. Pollack, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

H2O-H2SO4 system in Venus' clouds and OCS, CO, and H2SO4 profiles in Venus' troposphere.

J. Pollack, V. Krasnopolsky, V A Krasnopolsky, 1994, Icarus.

A Study of Territoriality: The Role of Critical Mass in Adaptive Task Division

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

Connectionism: past, present, and future

Jordan B. Pollack, J. Pollack, 1989, Artificial Intelligence Review.

High-Level Models

Jordan Pollack, J. Pollack, 1988 .

Evolving Complexity in Cooperative and Competitive Noisy Prediction Games

Jordan Pollack, Nick Moran, J. Pollack, 2019, Artificial Life.

Evolving Complexity in Prediction Games

Jordan Pollack, Nick Moran, J. Pollack, 2019, Artificial Life.

Effects of cooperative and competitive coevolution on complexity in a linguistic prediction game

Jordan B. Pollack, Nick Moran, J. Pollack, 2017, ECAL.

Escalation of Memory Length in Finite Populations

Jordan Pollack, Kyle Harrington, J. Pollack, 2017, bioRxiv.

Reducing Prejudice: A Spatialized Game-Theoretic Model for the Contact Hypothesis

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

A Game-Theoretic Memory Mechanism for Coevolution

Jordan B. Pollack, Sevan G. Ficici, J. Pollack, 2003, GECCO.

Mindless Intelligence

Jordan B. Pollack, J. Pollack, 2006, IEEE Intelligent Systems.

Coevolutionary Learning and the Design of Complex Systems

Hugues Juillé, Jordan B. Pollack, J. Pollack, 1999, Adv. Complex Syst..

Self-reproduction by glider collisions: the beehive rule

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

Computer Creativity in the Automatic Design of Robots

Gregory S. Hornby, Jordan B. Pollack, Hod Lipson, 2003, Leonardo.

Phenomenologically Plausible Parsing

Jordan B. Pollack, David L. Waltz, D. Waltz, 1984, AAAI.

Gene Regulatory Network Evolution Through Augmenting Topologies

Jordan B. Pollack, Sylvain Cussat-Blanc, Kyle Ira Harrington, 2015, IEEE Transactions on Evolutionary Computation.

Emergent Adaptive Lexicons

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

A Sampling-Based Heuristic for Tree Search Applied to Grammar Induction

Jordan B. Pollack, Hugues Juillé, J. Pollack, 1998, AAAI/IAAI.

A general coarse-graining framework for studying simultaneous inter-population constraints induced by evolutionary operations

Jordan B. Pollack, Keki M. Burjorjee, J. Pollack, 2006, GECCO '06.

Theme preservation and the evolution of representation

Jordan B. Pollack, Keki M. Burjorjee, J. Pollack, 2005, GECCO '05.

Symbiotic Combination as an Alternative to Sexual Recombination in Genetic Algorithms

Jordan B. Pollack, Richard A. Watson, J. Pollack, 2000, PPSN.

Emergent Resource Exchange and Tolerated Theft Behavior using Multi-Agent Reinforcement Learning

J. Pollack, Jack Garbus, 2023, ArXiv.

Evolution of Controllers from a High-Level Simulator to a High DOF Robot

Masahiro Fujita, Jordan B. Pollack, Gregory Hornby, 2000, ICES.

Evolving Obstacle Avoidance Behavior in a Robot Arm

Pattie Maes, Maja J. Matarić, Jean-Arcady Meyer, 1996 .

A Framework for Enabling an Internet Learning Community

Elizabeth Sklar, Jordan B. Pollack, J. Pollack, 2000, J. Educ. Technol. Soc..

Effects of Finite Populations on Evolutionary Stable Strategies

Jordan B. Pollack, Sevan G. Ficici, J. Pollack, 2000, GECCO.

Generative representations for the automated design of modular physical robots

Hod Lipson, J. Pollack, G. Hornby, 2003, IEEE Trans. Robotics Autom..

Once More Unto the Breach: Co-evolving a robot and its simulator

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

Small World and Scale-Free Network Topologies in an Artificial Regulatory Network Model

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

Theory and scope of exact representation extraction from feed-forward networks

Jordan B. Pollack, Ofer Melnik, J. Pollack, 2002, Cognitive Systems Research.

Analyzing Evolved Fault-Tolerant Neurocontrollers

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

Metabolic closure in (M,R) systems

J. Pollack, R. Watson, P. Husbands, 2004 .

COMPLETE INDUCTION OF RECURRENT NEURAL NETWORKS

J. Pollack, P. Angeline, G. M. Saunders, 1994 .

Structural and Behavioral Evolution of Recurrent Networks

Peter J. Angeline, Jordan B. Pollack, Gregory M. Saunders, 1993, NIPS.

Evolutionary fabrication: the emergence of novel assembly methods in artificial ontogenies

Jordan B. Pollack, John Rieffel, J. Pollack, 2005, GECCO '05.

The effects of environmental structure on the evolution of modularity in a pattern classifier

Jordan B. Pollack, Jessica Lowell, J. Pollack, 2017, ECAL.

The Emergence of Ontogenic Scaffolding in a Stochastic Development Environment

Jordan B. Pollack, John Rieffel, J. Pollack, 2004, GECCO.

A Stochastic Search Approach to Grammar Induction

Jordan B. Pollack, Hugues Juillé, J. Pollack, 1998, ICGI.

Dominance interactions, spatial dynamics and emergent reciprocity in a virtual world

Maja J. Matarić, Jean-Arcady Meyer, Jordan B. Pollack, 1996 .

Crossing the fabrication gap: evolving assembly plans to build 3-D objects

Jordan B. Pollack, John Rieffel, J. Pollack, 2005, 2005 IEEE Congress on Evolutionary Computation.

Automated assembly as situated development: using artificial ontogenies to evolve buildable 3-D objects

Jordan B. Pollack, John Rieffel, J. Pollack, 2005, GECCO '05.

The GOLEM project: evolving hardware bodies and brains

Jordan B. Pollack, Hod Lipson, Hod Lipson, 2000, Proceedings. The Second NASA/DoD Workshop on Evolvable Hardware.

Using Shapes for Function in Evolutionary Robotics

Jordan B. Pollack, J. Pollack, 2008 .

Artificial Ontogenies for Real World Design and Assembly

Jordan B. Pollack, John Rieffel, J. Pollack, 2004 .

A Mathematical Framework for the Study of Coevolution

Jordan B. Pollack, Anthony Bucci, J. Pollack, 2002, FOGA.

BEEweb: A Multi-domain Platform for Reciprocal Peer-Driven Tutoring Systems

Jordan B. Pollack, Ari Bader-Natal, Ari Bader-Natal, 2006, Intelligent Tutoring Systems.

Phenotypic Variability in Canalized Developmental Systems

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

An Environment for Simulating Kinematic Self-Replicating Machines

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .

Three Generations of Automatically Designed Robots

Jordan B. Pollack, Hod Lipson, Gregory Hornby, 2001, Artificial Life.

Massively parallel genetic programming

Jordan B. Pollack, Hugues Juillé, J. Pollack, 1996 .

Ant Foraging Revisited

Phil Husbands, Richard A. Watson, Takashi Ikegami, 2004 .