Lee Spector

发表

Recent developments in autoconstructive evolution

Lee Spector, Eva Moscovici, L. Spector, 2017, GECCO.

Innovation is built on the obscure: innovation-enhancing software for uncovering the obscure

Lee Spector, Tony McCaffrey, 2011, C&C '11.

The Impact of Hyperselection on Lexicase Selection

Lee Spector, Nicholas Freitag McPhee, Thomas Helmuth, 2016, GECCO.

Specialization and elitism in lexicase and tournament selection

Lee Spector, Nicholas Freitag McPhee, Thomas Helmuth, 2018, GECCO.

Induction and Recapitulation of Deep Musical Structure

Lee Spector, Adam Alpern, L. Spector, 1995, IJCAI 1995.

Automatic Identification of Closed-Loop Wind Turbine Dynamics via Genetic Programming

Alan Wright, Lee Spector, William La Cava, 2015, HRI 2015.

Proceedings of the 2nd Annual Conference on Genetic and Evolutionary Computation

David E. Goldberg, L. Darrell Whitley, Lee Spector, 2000 .

Linear Genomes for Structured Programs

Lee Spector, Nicholas Freitag McPhee, Thomas Helmuth, 2016, GPTP.

A Revised Comparison of Crossover and Mutation in Genetic Programming

Lee Spector, Sean Luke, S. Luke, 1998 .

Editorial introduction

Lee Spector, 2011, Genetic Programming and Evolvable Machines.

Knowledge representation in PARKA—part 2: experiments, analysis, and enhancements

James A. Hendler, Lee Spector, Brian P. Kettler, 1992 .

Expressive Genetic Programming

Lee Spector, L. Spector, 2015, GECCO.

Expressive genetic programming: concepts and applications

Lee Spector, Nicholas Freitag McPhee, L. Spector, 2018, GECCO.

Uniform Linear Transformation with Repair and Alternation in Genetic Programming

Lee Spector, Thomas Helmuth, L. Spector, 2013, GPTP.

Introduction to the peer commentary special section on “On the Mapping of Genotype to Phenotype in Evolutionary Algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin

Lee Spector, 2017, Genetic Programming and Evolvable Machines.

Evolving quantum computer algorithms

Lee Spector, L. Spector, 2009, GECCO '09.

Foundations of Genetic Programming

Lee Spector, Jon Klein, L. Spector, 2002, Springer Berlin Heidelberg.

Virtual Witches and Warlocks : A Quidditch Simulator and Quidditch-Playing Teams Coevolved via Genetic Programming

Lee Spector, Jon Klein, Raphael Crawford-Marks, 2004 .

Editorial introduction

Lee Spector, 2009, Genetic Programming and Evolvable Machines.

Genetic programming for finite algebras

David M. Clark, Lee Spector, Jon Klein, 2008, GECCO '08.

Editorial introduction

Lee Spector, 2008, Genetic Programming and Evolvable Machines.

Tag-based modules in genetic programming

Lee Spector, Thomas Helmuth, Kyle Ira Harrington, 2011, GECCO '11.

Editorial introduction

Lee Spector, 2017, Genetic Programming and Evolvable Machines.

Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification

Leonardo Vanneschi, Jason H. Moore, Lee Spector, 2017, EvoApplications.

On the difficulty of benchmarking inductive program synthesis methods

Lee Spector, Nicholas Freitag McPhee, Thomas Helmuth, 2017, GECCO.

Genetic Stability and Territorial Structure Facilitate the Evolution of Tag-Mediated Altruism

Lee Spector, Jon Klein, L. Spector, 2006, Artificial Life.

Complex Adaptive Music Systems in the breve Simulation Environment

Lee Spector, Jonathan Klein, 2002 .

Expressive genetic programming

Lee Spector, L. Spector, 2013, GECCO.

Emergence of Collective Behavior in Evolving Populations of Flying Agents

Lee Spector, Chris Perry, Jon Klein, 2003, GECCO.

Solving Uncompromising Problems With Lexicase Selection

Lee Spector, Thomas Helmuth, James Matheson, 2015, IEEE Transactions on Evolutionary Computation.

A multidimensional genetic programming approach for identifying epsistatic gene interactions

Leonardo Vanneschi, Jason H. Moore, Lee Spector, 2018, GECCO.

Evolution of artificial intelligence

Lee Spector, L. Spector, 2006, Artif. Intell..

Evolution of algebraic terms 2: Deep drilling algorithm

Maarten Keijzer, David M. Clark, Lee Spector, 2016, Int. J. Algebra Comput..

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000

David E. Goldberg, Lee Spector, Hans-Georg Beyer, 2002, GECCO.

Multi-type, Self-adaptive Genetic Programming as an Agent Creation Tool

Lee Spector, L. Spector, 2002 .

Word count as a traditional programming benchmark problem for genetic programming

Lee Spector, Thomas Helmuth, L. Spector, 2014, GECCO.

A revised comparison of crossover and mutation in GP

Lee Spector, Sean Luke, 1998 .

Introduction to the Special Issue on genetic programming for human-competitive designs

Lee Spector, L. Spector, 2008, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

Push: genetic programming for finite algebras

David M. Clark, Lee Spector, Nicholas Freitag McPhee, 2019, GECCO.

New Directions: Automatic Generation of Intelligent Agent Programs

Lee Spector, 1997, IEEE Expert.

Planning and Reacting Across Supervenient Level of Representation

James A. Hendler, Lee Spector, 1992, Int. J. Cooperative Inf. Syst..

Program synthesis using uniform mutation by addition and deletion

Lee Spector, Nicholas Freitag McPhee, Thomas Helmuth, 2018, GECCO.

Fecundity and selectivity in evolutionary computation

Lee Spector, Thomas Helmuth, Kyle Ira Harrington, 2011, GECCO.

Automatic Quantum Computer Programming: A Genetic Programming Approach (Genetic Programming)

Lee Spector, L. Spector, 2004 .

Partial and total-order planning: evidence from normal and prefrontally damaged populations

Lee Spector, Jordan Henry Grafman, Mary Jo Rattermann, 2001, Cogn. Sci..

Genetic Programming and AI Planning Systems

Lee Spector, L. Spector, 1994, AAAI.

Evolving Control Structures with Automatically

Lee Spector, Defined Macros, L. Spector, 1995 .

An introduction to the third volume

Peter J. Angeline, Lee Spector, Una-May O'Reilly, 1999 .

Genetic Programming for Human-Competitive Designs

Lee Spector, 2008 .

Emergence of Collective Behavior in Evolving Populations of Flying Agents

Lee Spector, Chris Perry, Jon Klein, 2003, Genetic Programming and Evolvable Machines.

AUTOMATED INVENTION BY MEANS OF GENETIC PROGRAMMING

John R. Koza, Lee Spector, J. Koza, 2004 .

A Probabilistic and Multi-Objective Analysis of Lexicase Selection and ε-Lexicase Selection

Jason H. Moore, Lee Spector, William La Cava, 2019, Evolutionary Computation.

Improving generalization of evolved programs through automatic simplification

Lee Spector, Nicholas Freitag McPhee, Thomas Helmuth, 2017, GECCO.

Towards Practical Autoconstructive Evolution: Self-Evolution of Problem-Solving Genetic Programming Systems

Lee Spector, L. Spector, 2011 .

Inference of compact nonlinear dynamic models by epigenetic local search

Lee Spector, William La Cava, Kourosh Danai, 2016, Eng. Appl. Artif. Intell..

GECCO-2001 : proceedings of the Genetic and Evolutionary Computation Conference : a joint meeting of the Sixth Annual Genetic Programming Conference (GP-2001) and the Tenth International Conference on Genetic Algorithms (ICGA-2001), July 7-11, 2001, San Francisco, California

Lee Spector, Genetic, 2001 .

Achieving COSMOS: a metric for determining when to give up and when to reach for the stars

Lee Spector, Emma Tosch, L. Spector, 2012, GECCO '12.

$ε$-Lexicase selection: a probabilistic and multi-objective analysis of lexicase selection in continuous domains pdf

Jason H. Moore, Lee Spector, William La Cava, 2017, ArXiv.

Autoconstructive Evolution: Push, PushGP, and Pushpop

Lee Spector, L. Spector, 2001 .

Defining and simulating open-ended novelty: requirements, guidelines, and challenges

Susan Stepney, Barry McMullin, Vinicius Veloso de Melo, 2016, Theory in Biosciences.

Artificial intelligence as the liberal arts of computer science

Lee Spector, 1995, SGAR.

Ontogenetic programming

Lee Spector, Kilian Stoffel, L. Spector, 1996 .

Cultural transmission of information in genetic programming

Lee Spector, Sean Luke, S. Luke, 1996 .

Empirical investigation of size-based tournaments for node selection in genetic programming

Lee Spector, Thomas Helmuth, L. Spector, 2012, GECCO '12.

Lexicase selection in learning classifier systems

Lee Spector, Sneha Aenugu, L. Spector, 2019, GECCO.

Quantum Computer Simulation

Lee Spector, 2007 .

Evolving Graphs and Networks with Edge Encoding: Preliminary Report

Lee Spector, Sean Luke, S. Luke, 1996 .

A Detailed Analysis of a PushGP Run

Lee Spector, Nicholas Freitag McPhee, Thomas Helmuth, 2016, GPTP.

Supervenience in dynamic-world planning

Lee Spector, 1992 .

High-performance, parallel, stack-based genetic programming

Lee Spector, Kilian Stoffel, 1996 .

Evolution of reward functions for reinforcement learning

Lee Spector, Scott Niekum, Andrew G. Barto, 2011, GECCO.

Automatic programming: The open issue?

Michael O'Neill, Lee Spector, L. Spector, 2019, Genetic Programming and Evolvable Machines.

Book Review: The Quest for the Quantum Computer

Lee Spector, 2004, Genetic Programming and Evolvable Machines.

Quantum Computer Programming

Lee Spector, 2007 .

Knowledge representation in PARKA

James A. Hendler, Lee Spector, Matthew P. Evett, 1990 .

On the importance of specialists for lexicase selection

Lee Spector, Thomas Helmuth, Edward Pantridge, 2020, Genetic Programming and Evolvable Machines.

Acknowledgment to Reviewers

Lee Spector, 2017, Genetic Programming and Evolvable Machines.

Evolving a digital multiplier with the pushgp genetic programming system

Lee Spector, Thomas Helmuth, L. Spector, 2013, GECCO.

Expressive genetic programming: tutorial: 2012 genetic and evolutionary computation conference (GECCO-2012)

Lee Spector, L. Spector, 2012, GECCO '12.

Using algorithm configuration tools to optimize genetic programming parameters: a case study

Lee Spector, Nicholas Freitag McPhee, Thomas Helmuth, 2017, GECCO.

Teaching the evolution of behavior with SuperDuperWalker

Lee Spector, Kyle Ira Harrington, Jon Klein, 2005, AIED.

Editorial introduction

Lee Spector, 2018, Genetic Programming and Evolvable Machines.

Proceedings of the 3rd Annual Conference on Genetic and Evolutionary Computation

William B. Langdon, Lee Spector, Erik D. Goodman, 2001 .

Analyzing a Decade of Human-Competitive ("HUMIE") Winners: What Can We Learn?

Moshe Sipper, Lee Spector, William La Cava, 2014, GPTP.

3D Multi-Agent Simulations in the breve Simulation Environment

Lee Spector, Jon Klein, L. Spector, 2009 .

Expressive genetic programming

Lee Spector, L. Spector, 2014, GECCO.

PyshGP: PushGP in Python

Lee Spector, Edward R. Pantridge, L. Spector, 2017, GECCO.

Automatic identification of wind turbine models using evolutionary multiobjective optimization

Alan Wright, Lee Spector, William La Cava, 2016 .

The Power of Quantum Computing

Lee Spector, 2007 .

Visualizing genetic programming ancestries using graph databases

Lee Spector, Nicholas Freitag McPhee, Thomas Helmuth, 2017, GECCO.

Using Genetic Programming with Multiple Data Types and Automatic Modularization to Evolve Decentralized and Coordinated Navigation in Multi-Agent Systems

Lee Spector, Alan J. Robinson, 2002, GECCO Late Breaking Papers.

Automatic Generation of Adaptive Programs

Lee Spector, Kilian Stoffel, 1996 .

Evolution of algebraic terms 3: Term continuity and beam algorithms

David M. Clark, Lee Spector, 2018, Int. J. Algebra Comput..

Validation of evolutionary activity metrics for long-term evolutionary dynamics

Lee Spector, Andrew Stout, 2005, GECCO '05.

Evolving differential equations with developmental linear genetic programming and epigenetic hill climbing

Lee Spector, William La Cava, Kourosh Danai, 2014, GECCO.

Comparison of Semantic-aware Selection Methods in Genetic Programming

Krzysztof Krawiec, Lee Spector, Pawel Liskowski, 2015, GECCO.

Evolving quantum computer algorithms

Lee Spector, L. Spector, 2011, GECCO.

A behavior-based analysis of modal problems

Lee Spector, Leonardo Trujillo, Enrique Naredo, 2013, GECCO.

Multidimensional genetic programming for multiclass classification

Leonardo Vanneschi, Jason H. Moore, Lee Spector, 2019, Swarm Evol. Comput..

Modularity metrics for genetic programming

Lee Spector, Anil Kumar Saini, L. Spector, 2019, GECCO.

Ontology-Based Knowledge Discovery on the World-Wide Web

Lee Spector, Sean Luke, David Rager, 1996 .

Knowledge representation on the connection machine

James A. Hendler, Lee Spector, Matthew P. Evett, 1989, Proceedings of the 1989 ACM/IEEE Conference on Supercomputing (Supercomputing '89).

Genetic Programming with Epigenetic Local Search

Lee Spector, William La Cava, Thomas Helmuth, 2015, GECCO.

SELECTION SONGS: EVOLUTIONARY MUSIC COMPUTATION

Lee Spector, Jon Klein, Kyle Harrington, 2005 .

Multidimensional Tags, Cooperative Populations, and Genetic Programming

Lee Spector, Jon Klein, L. Spector, 2007 .

An Essay Concerning Human Understanding of Genetic Programming

Lee Spector, L. Spector, 2003 .

Size-based tournaments for node selection

Lee Spector, Thomas Helmuth, Brian Martin, 2011, GECCO.

An Inquiry-based Approach to E-learning: The CHAT Digital Learning Environment

Lee Spector, Neil Stillings, Steven Weisler, 2001 .

Unwitting distributed genetic programming via asynchronous JavaScript and XML

Lee Spector, Jon Klein, 2007, GECCO '07.

Quantum computing

Lee Spector, L. Spector, 2007, GECCO '07.

Lexicase selection of specialists

Lee Spector, Thomas Helmuth, Edward R. Pantridge, 2019, GECCO.

A probabilistic and multi-objective analysis of lexicase selection and epsilon-lexicase selection.

Jason H. Moore, Lee Spector, William La Cava, 2017 .

Christopher Cherniak, Minimal Rationality

James A. Hendler, Lee Spector, 1989, Artif. Intell..

Effects of Lexicase and Tournament Selection on Diversity Recovery and Maintenance

Lee Spector, Nicholas Freitag McPhee, Thomas Helmuth, 2016, GECCO.

Evolving teamwork and coordination with genetic programming

Lee Spector, Sean Luke, S. Luke, 1996 .

The Use of Supervenience in Dynamic-world Planning

James A. Hendler, Lee Spector, J. Hendler, 1994, AIPS.

Automatic Quantum Computer Programming

Lee Spector, L. Spector, 2004, Genetic Programming.

Virtual Quidditch: A Challenge Problem for Automatically Programmed Software Agents

Lee Spector, Ryan Moore, 2001 .

Genetic Programming with Historically Assessed Hardness

Lee Spector, Jon Klein, 2009 .

Genetic Programming and Autoconstructive Evolution with the Push Programming Language

Lee Spector, Alan J. Robinson, L. Spector, 2002, Genetic Programming and Evolvable Machines.

Autoconstructive evolution for structural problems

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

Behind every innovative solution lies an obscure feature

Lee Spector, Tony McCaffrey, L. Spector, 2012 .

Lexicase Selection Beyond Genetic Programming

Lee Spector, Anil Kumar Saini, Blossom Metevier, 2018, GPTP.

Acknowledgment to reviewers

Lee Spector, 2017, Genetic Programming and Evolvable Machines.

Expressive Genetic Programming: Concepts and Applications

Lee Spector, Nicholas Freitag McPhee, L. Spector, 2016, GECCO.

Tags and the Evolution of Cooperation in Complex Environments

Lee Spector, Chris Perry, Jon Klein, 2004, AAAI Technical Report.

Ordering Relations in Human and Machine Planning

Lee Spector, Mary Jo Rattermann, Kristen Prentice, 1994, AAAI.

Evolving Control Structures with Automatically Defined Macros

Lee Spector, L. Spector, 2001 .

Editorial introduction

Lee Spector, 2010, Genetic Programming and Evolvable Machines.

Criticism, Culture, and the Automatic Generation of Artworks

Lee Spector, Adam Alpern, L. Spector, 1994, AAAI.

Relaxations of Lexicase Parent Selection

Lee Spector, William La Cava, Thomas Helmuth, 2017, GPTP.

Evolution of Layer Based Neural Networks: Preliminary Report

Lee Spector, Edward R. Pantridge, 2016, GECCO.

Parallel Knowledge Representation on the Connection Machine

James A. Hendler, Lee Spector, Matthew P. Evett, 1994, J. Parallel Distributed Comput..

Acknowledgment to reviewers

Lee Spector, 2019, Genetic Programming and Evolvable Machines.

Simultaneous evolution of programs and their control structures

Lee Spector, L. Spector, 1996 .

An approach to human–machine collaboration in innovation

Lee Spector, Tony McCaffrey, L. Spector, 2017, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

General Program Synthesis Benchmark Suite

Lee Spector, Thomas Helmuth, L. Spector, 2015, GECCO.

Genetic Programming for Reward Function Search

Lee Spector, Scott Niekum, Andrew G. Barto, 2010, IEEE Transactions on Autonomous Mental Development.

Inheritable Epigenetics in Genetic Programming

Lee Spector, William La Cava, 2014, GPTP.

Quantum computing applications of genetic programming

Lee Spector, Nikhil Swamy, Howard Barnum, 1999 .

Ontology-based Web agents

James A. Hendler, Lee Spector, Sean Luke, 1997, AGENTS '97.

Multi-Type Self Adaptive Genetic Programming for Complex Applications

Lee Spector, L. Spector, Lee Spector, 2005 .

Genetic programming for quantum computers

Lee Spector, Howard Barnum, Herbert J. Bernstein, 1998 .

Evolution of Complex Programs

Lee Spector, 2007 .

Genetic and Evolutionary Computation

Lee Spector, 2007 .

What’s in an Evolved Name? The Evolution of Modularity via Tag-Based Reference

Lee Spector, Thomas Helmuth, Brian Martin, 2011 .

Session details: Genetic programming track papers

Lee Spector, Tina Yu, 2011, GECCO '11.

Better-than-classical circuits for OR and AND/OR found using genetic programming

Lee Spector, Howard Barnum, Herbert J. Bernstein, 1999 .

Evolution Evolves with Autoconstruction

Lee Spector, Nicholas Freitag McPhee, Thomas Helmuth, 2016, GECCO.

Tag-based modularity in tree-based genetic programming

Lee Spector, Thomas Helmuth, Kyle Ira Harrington, 2012, GECCO '12.

Effective simplification of evolved push programs using a simple, stochastic hill-climber

Lee Spector, Thomas Helmuth, L. Spector, 2014, GECCO.

Evolution of quantum algorithms

Lee Spector, L. Spector, 2010, GECCO '10.

Session details: Stack-based genetic programming workshops

Maarten Keijzer, Lee Spector, Kenneth Holladay, 2013, GECCO '13 Companion.

Editorial introduction

Lee Spector, 2015, Genetic Programming and Evolvable Machines.

Evolving SQL Queries from Examples with Developmental Genetic Programming

Lee Spector, Thomas Helmuth, L. Spector, 2013 .

Editorial introduction

Lee Spector, 2014, Genetic Programming and Evolvable Machines.

Criticism, Culture, and the Automatic Generation of Artworks

Lee Spector, Adam Alpern, L. Spector, 1994, AAAI.

Knowledge strata: reactive planning with a multi-level architecture

James A. Hendler, Lee Spector, 1990 .

How the Obscure Features Hypothesis Leads to Innovation Assistant Software

Lee Spector, Tony McCaffrey, 2011, ICCC.

Peer commentary on Wolfgang Banzhaf’s “genetic programming and emergence”

Lee Spector, 2013, Genetic Programming and Evolvable Machines.

Epsilon-Lexicase Selection for Regression

Lee Spector, William La Cava, Kourosh Danai, 2016, GECCO.

Editorial introduction

Lee Spector, 2019, Genetic Programming and Evolvable Machines.

Size Control Via Size Fair Genetic Operators In The PushGP Genetic Programming System

Lee Spector, Raphael Crawford-Marks, L. Spector, 2002, GECCO.

Genetic and Evolutionary Computation – GECCO 2004

Riccardo Poli, Dirk Thierens, Gerhard Goos, 2004, Lecture Notes in Computer Science.

Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part I

Riccardo Poli, Edmund K. Burke, Dario Floreano, 2004 .

Lexicase Selection for Program Synthesis: A Diversity Analysis

Lee Spector, Nicholas Freitag McPhee, Thomas Helmuth, 2016 .

Visualizing Genetic Programming Ancestries

Lee Spector, Nicholas Freitag McPhee, Thomas Helmuth, 2016, GECCO.

Division blocks and the open-ended evolution of development, form, and behavior

Lee Spector, Jon Klein, Mark Feinstein, 2007, GECCO '07.

Assessment of problem modality by differential performance of lexicase selection in genetic programming: a preliminary report

Lee Spector, L. Spector, 2012, GECCO '12.

The Push3 execution stack and the evolution of control

Maarten Keijzer, Lee Spector, Jon Klein, 2005, GECCO '05.

Plushi: an embeddable, language agnostic, push interpreter

Lee Spector, Edward R. Pantridge, 2018, GECCO.

Acknowledgement to reviewers (2020)

Lee Spector, 2021, Genet. Program. Evolvable Mach..

Editorial introduction

Lee Spector, 2021, Genet. Program. Evolvable Mach..

Problem-Solving Benefits of Down-Sampled Lexicase Selection

Lee Spector, Thomas Helmuth, L. Spector, 2021, Artificial Life.

Relationships between parent selection methods, looping constructs, and success rate in genetic programming

Lee Spector, Anil Kumar Saini, L. Spector, 2021, Genetic Programming and Evolvable Machines.

GLEAM: genetic learning by extraction and absorption of modules

Lee Spector, Anil Kumar Saini, L. Spector, 2021, GECCO Companion.

Evolving neural selection with adaptive regularization

Lee Spector, Li Ding, L. Spector, 2021, GECCO Companion.

Damage to the prefrontal cortex leads to decomposition of structured event complexes

James A. Hendler, Lee Spector, Jordan Grafman, 1993 .

A quantum circuit for OR

Lee Spector, Howard Barnum, Herbert J. Bernstein, 1999 .

Minimal rationality: Christopher Cherniak, (MIT Press, Cambridge, MA, 1986); 161 pages

James A. Hendler, Lee Spector, J. Hendler, 1989 .

Hierarchy helps it work that way

Lee Spector, L. Spector, 2002 .

Genetic Programming and AI Planning Syste

Lee Spector, L. Spector, 1999 .

A Molecular Circuit Regenerator to Implement Iterative Strand Displacement Operations.

Lee Spector, Sarah Hews, Nathan D Derr, 2017, Angewandte Chemie.