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Lee Spector
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2020 – today
- 2024
- [c109]Thomas Helmuth
, Edward R. Pantridge
, James Gunder Frazier
, Lee Spector
:
Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming. EuroGP 2024: 21-37 - [c108]Andrew Ni
, Li Ding
, Lee Spector
:
DALex: Lexicase-Like Selection via Diverse Aggregation. EuroGP 2024: 90-107 - [c107]Martin Briesch
, Ryan Boldi
, Dominik Sobania
, Alexander Lalejini
, Thomas Helmuth
, Franz Rothlauf
, Charles Ofria
, Lee Spector
:
Improving Lexicase Selection with Informed Down-Sampling. GECCO Companion 2024: 25-26 - [c106]Ryan Boldi, Li Ding, Lee Spector:
Solving Deceptive Problems Without Explicit Diversity Maintenance. GECCO Companion 2024: 171-174 - [c105]Ryan Boldi
, Ashley Bao
, Martin Briesch
, Thomas Helmuth
, Dominik Sobania
, Lee Spector
, Alexander Lalejini
:
A Comprehensive Analysis of Down-sampling for Genetic Programming-based Program Synthesis. GECCO Companion 2024: 487-490 - [c104]Thomas Helmuth
, Jayden Fedoroff
, Edward R. Pantridge
, Lee Spector
:
Facilitating Function Application in Code Building Genetic Programming. GECCO 2024 - [c103]Andrew Ni
, Lee Spector
:
Effective Adaptive Mutation Rates for Program Synthesis. GECCO 2024 - [i25]Andrew Ni, Li Ding, Lee Spector:
DALex: Lexicase-like Selection via Diverse Aggregation. CoRR abs/2401.12424 (2024) - [i24]Andrew Ni, Lee Spector:
Leveraging Symbolic Regression for Heuristic Design in the Traveling Thief Problem. CoRR abs/2404.12750 (2024) - [i23]Ryan Boldi, Li Ding, Lee Spector, Scott Niekum:
Pareto-Optimal Learning from Preferences with Hidden Context. CoRR abs/2406.15599 (2024) - [i22]Andrew Ni, Lee Spector:
Effective Adaptive Mutation Rates for Program Synthesis. CoRR abs/2406.15976 (2024) - 2023
- [j54]Li Ding
, Lee Spector
:
Multi-Objective Evolutionary Architecture Search for Parameterized Quantum Circuits. Entropy 25(1): 93 (2023) - [c102]Ryan Boldi
, Ashley Bao
, Martin Briesch
, Thomas Helmuth
, Dominik Sobania
, Lee Spector
, Alexander Lalejini
:
The Problem Solving Benefits of Down-sampling Vary by Selection Scheme. GECCO Companion 2023: 527-530 - [c101]Ryan Boldi
, Alexander Lalejini
, Thomas Helmuth
, Lee Spector
:
A Static Analysis of Informed Down-Samples. GECCO Companion 2023: 531-534 - [c100]Li Ding
, Edward R. Pantridge
, Lee Spector
:
Probabilistic Lexicase Selection. GECCO 2023: 1073-1081 - [c99]Ryan Boldi
, Lee Spector
:
Can the Problem-Solving Benefits of Quality Diversity Be Obtained without Explicit Diversity Maintenance? GECCO Companion 2023: 2152-2156 - [c98]Lee Spector, Li Ding, Ryan Boldi:
Particularity. GPTP 2023: 159-176 - [i21]Ryan Boldi, Martin Briesch, Dominik Sobania, Alexander Lalejini, Thomas Helmuth, Franz Rothlauf, Charles Ofria, Lee Spector:
Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving. CoRR abs/2301.01488 (2023) - [i20]Ryan Boldi, Alexander Lalejini, Thomas Helmuth, Lee Spector:
A Static Analysis of Informed Down-Samples. CoRR abs/2304.01978 (2023) - [i19]Ryan Boldi, Ashley Bao, Martin Briesch, Thomas Helmuth, Dominik Sobania
, Lee Spector, Alexander Lalejini:
Analyzing the Interaction Between Down-Sampling and Selection. CoRR abs/2304.07089 (2023) - [i18]Ryan Boldi, Lee Spector:
Can the Problem-Solving Benefits of Quality Diversity Be Obtained Without Explicit Diversity Maintenance? CoRR abs/2305.07767 (2023) - [i17]Li Ding, Edward R. Pantridge, Lee Spector:
Probabilistic Lexicase Selection. CoRR abs/2305.11681 (2023) - [i16]Lee Spector, Li Ding, Ryan Boldi:
Particularity. CoRR abs/2306.06812 (2023) - [i15]Tony McCaffrey, Thomas E. Gorochowski, Lee Spector:
Constructor algorithms for building unconventional computers able to solve NP-complete problems. CoRR abs/2309.10082 (2023) - [i14]Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman:
Quality Diversity through Human Feedback. CoRR abs/2310.12103 (2023) - [i13]Ryan Boldi, Li Ding, Lee Spector:
Objectives Are All You Need: Solving Deceptive Problems Without Explicit Diversity Maintenance. CoRR abs/2311.02283 (2023) - [i12]Li Ding, Lee Spector:
Optimizing Neural Networks with Gradient Lexicase Selection. CoRR abs/2312.12606 (2023) - 2022
- [j53]Thomas Helmuth, Lee Spector:
Problem-Solving Benefits of Down-Sampled Lexicase Selection. Artif. Life 27(3-4): 183-203 (2022) - [j52]Lee Spector:
Editorial introduction. Genet. Program. Evolvable Mach. 23(1): 1-2 (2022) - [j51]Lee Spector:
Acknowledgment to reviewers (2021). Genet. Program. Evolvable Mach. 23(1): 3-5 (2022) - [c97]Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector:
Going faster and hence further with lexicase selection. GECCO Companion 2022: 538-541 - [c96]Anil Kumar Saini, Lee Spector, Thomas Helmuth:
Environments with local scopes for modules in genetic programming. GECCO Companion 2022: 598-601 - [c95]Edward R. Pantridge, Thomas Helmuth, Lee Spector:
Functional code building genetic programming. GECCO 2022: 1000-1008 - [c94]Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector:
Lexicase selection at scale. GECCO Companion 2022: 2054-2062 - [c93]Li Ding, Lee Spector:
Evolutionary quantum architecture search for parametrized quantum circuits. GECCO Companion 2022: 2190-2195 - [c92]Li Ding, Lee Spector:
Optimizing Neural Networks with Gradient Lexicase Selection. ICLR 2022 - [i11]Li Ding, Lee Spector:
Evolving Neural Selection with Adaptive Regularization. CoRR abs/2204.01662 (2022) - [i10]Ryan Boldi, Thomas Helmuth, Lee Spector:
The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase Selection. CoRR abs/2205.15931 (2022) - [i9]Edward R. Pantridge, Thomas Helmuth, Lee Spector:
Functional Code Building Genetic Programming. CoRR abs/2206.04561 (2022) - [i8]Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector:
Lexicase Selection at Scale. CoRR abs/2208.10719 (2022) - [i7]Li Ding, Lee Spector:
Evolutionary Quantum Architecture Search for Parametrized Quantum Circuits. CoRR abs/2208.11167 (2022) - 2021
- [j50]Lee Spector:
Editorial introduction. Genet. Program. Evolvable Mach. 22(1): 1-2 (2021) - [j49]Lee Spector:
Acknowledgement to reviewers (2020). Genet. Program. Evolvable Mach. 22(1): 3 (2021) - [j48]Anil Kumar Saini
, Lee Spector:
Relationships between parent selection methods, looping constructs, and success rate in genetic programming. Genet. Program. Evolvable Mach. 22(4): 495-509 (2021) - [c91]Anil Kumar Saini, Lee Spector:
GLEAM: genetic learning by extraction and absorption of modules. GECCO Companion 2021: 263-264 - [c90]Lee Spector:
Push. GECCO Companion 2021: 1119-1134 - [c89]Li Ding, Lee Spector:
Evolving neural selection with adaptive regularization. GECCO Companion 2021: 1717-1725 - [c88]Anil Kumar Saini, Lee Spector:
Evolving and Analyzing Modularity with GLEAM (Genetic Learning by Extraction and Absorption of Modules). GPTP 2021: 181-195 - [i6]Thomas Helmuth, Lee Spector:
Problem-solving benefits of down-sampled lexicase selection. CoRR abs/2106.06085 (2021) - 2020
- [j47]Lee Spector:
Editorial introduction. Genet. Program. Evolvable Mach. 21(1-2): 1-2 (2020) - [j46]Michael O'Neill
, Lee Spector:
Automatic programming: The open issue? Genet. Program. Evolvable Mach. 21(1-2): 251-262 (2020) - [j45]Lee Spector:
Acknowledgment to reviewers (2019). Genet. Program. Evolvable Mach. 21(1-2): 281-282 (2020) - [j44]Thomas Helmuth
, Edward R. Pantridge, Lee Spector:
On the importance of specialists for lexicase selection. Genet. Program. Evolvable Mach. 21(3): 349-373 (2020) - [c87]Anil Kumar Saini, Lee Spector:
Effect of Parent Selection Methods on Modularity. EuroGP 2020: 184-194 - [c86]Thomas Helmuth, Lee Spector, Edward R. Pantridge:
Counterexample-driven genetic programming without formal specifications. GECCO Companion 2020: 239-240 - [c85]Thomas Helmuth, Edward R. Pantridge, Grace Woolson, Lee Spector:
Transfer Learning of Genetic Programming Instruction Sets. GECCO Companion 2020: 241-242 - [c84]Anil Kumar Saini, Lee Spector:
Why and when are loops useful in genetic programming? GECCO Companion 2020: 247-248 - [c83]Edward R. Pantridge, Lee Spector:
Code building genetic programming. GECCO 2020: 994-1002 - [c82]Lee Spector:
Push. GECCO Companion 2020: 1174-1189 - [c81]Thomas Helmuth, Edward R. Pantridge, Grace Woolson, Lee Spector:
Genetic Source Sensitivity and Transfer Learning in Genetic Programming. ALIFE 2020: 303-311 - [c80]Thomas Helmuth, Lee Spector:
Explaining and Exploiting the Advantages of Down-sampled Lexicase Selection. ALIFE 2020: 341-349 - [i5]Edward R. Pantridge, Lee Spector:
Code Building Genetic Programming. CoRR abs/2008.03649 (2020)
2010 – 2019
- 2019
- [j43]William G. La Cava
, Thomas Helmuth, Lee Spector, Jason H. Moore:
A Probabilistic and Multi-Objective Analysis of Lexicase Selection and ε-Lexicase Selection. Evol. Comput. 27(3): 377-402 (2019) - [j42]Lee Spector:
Editorial introduction. Genet. Program. Evolvable Mach. 20(1): 1-2 (2019) - [j41]Lee Spector:
Acknowledgment to reviewers. Genet. Program. Evolvable Mach. 20(1): 3-4 (2019) - [j40]William G. La Cava
, Sara Silva
, Kourosh Danai
, Lee Spector, Leonardo Vanneschi
, Jason H. Moore:
Multidimensional genetic programming for multiclass classification. Swarm Evol. Comput. 44: 260-272 (2019) - [c79]Sneha Aenugu, Lee Spector:
Lexicase selection in learning classifier systems. GECCO 2019: 356-364 - [c78]Thomas Helmuth, Edward R. Pantridge, Lee Spector:
Lexicase selection of specialists. GECCO 2019: 1030-1038 - [c77]Lee Spector, Nicholas Freitag McPhee, David M. Clark, Ian Lindsay, Bradford Barr, Jon Klein:
Push: genetic programming for finite algebras. GECCO (Companion) 2019: 1175-1196 - [c76]Anil Kumar Saini, Lee Spector:
Modularity metrics for genetic programming. GECCO (Companion) 2019: 2056-2059 - [c75]Anil Kumar Saini, Lee Spector:
Using Modularity Metrics as Design Features to Guide Evolution in Genetic Programming. GPTP 2019: 165-180 - [c74]Edward R. Pantridge, Thomas Helmuth, Lee Spector:
Comparison of Linear Genome Representations for Software Synthesis. GPTP 2019: 255-274 - [e4]Wolfgang Banzhaf, Lee Spector, Leigh Sheneman:
Genetic Programming Theory and Practice XVI, [GPTP 2018, University of Michigan, Ann Arbor, USA, May 17-20, 2018]. Genetic and Evolutionary Computation, Springer 2019, ISBN 978-3-030-04734-4 [contents] - [i4]Thomas Helmuth, Edward R. Pantridge, Lee Spector:
Lexicase Selection of Specialists. CoRR abs/1905.09372 (2019) - [i3]William G. La Cava, Lee Spector, Kourosh Danai:
Epsilon-Lexicase Selection for Regression. CoRR abs/1905.13266 (2019) - [i2]Sneha Aenugu, Lee Spector:
Lexicase selection in Learning Classifier Systems. CoRR abs/1907.04736 (2019) - 2018
- [j39]Tony McCaffrey, Lee Spector:
An approach to human-machine collaboration in innovation. Artif. Intell. Eng. Des. Anal. Manuf. 32(1): 1-15 (2018) - [j38]Lee Spector:
Editorial introduction. Genet. Program. Evolvable Mach. 19(1-2): 1-2 (2018) - [j37]Lee Spector:
Acknowledgment to reviewers. Genet. Program. Evolvable Mach. 19(1-2): 3-4 (2018) - [j36]David M. Clark, Lee Spector:
Evolution of algebraic terms 3: Term continuity and beam algorithms. Int. J. Algebra Comput. 28(5): 759-790 (2018) - [c73]William G. La Cava
, Sara Silva
, Kourosh Danai, Lee Spector, Leonardo Vanneschi
, Jason H. Moore:
A multidimensional genetic programming approach for identifying epsistatic gene interactions. GECCO (Companion) 2018: 23-24 - [c72]Lee Spector, Nicholas Freitag McPhee:
Expressive genetic programming: concepts and applications. GECCO (Companion) 2018: 977-997 - [c71]Thomas Helmuth, Nicholas Freitag McPhee, Lee Spector:
Program synthesis using uniform mutation by addition and deletion. GECCO 2018: 1127-1134 - [c70]Edward R. Pantridge, Lee Spector:
Plushi: an embeddable, language agnostic, push interpreter. GECCO (Companion) 2018: 1379-1385 - [c69]Edward R. Pantridge, Thomas Helmuth, Nicholas Freitag McPhee, Lee Spector:
Specialization and elitism in lexicase and tournament selection. GECCO (Companion) 2018: 1914-1917 - [c68]Blossom Metevier, Anil Kumar Saini, Lee Spector:
Lexicase Selection Beyond Genetic Programming. GPTP 2018: 123-136 - 2017
- [j35]Lee Spector:
Editorial introduction. Genet. Program. Evolvable Mach. 18(1): 1-2 (2017) - [j34]Lee Spector:
Acknowledgment to Reviewers. Genet. Program. Evolvable Mach. 18(1): 121-122 (2017) - [j33]Lee Spector:
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. Genet. Program. Evolvable Mach. 18(3): 351-352 (2017) - [c67]William G. La Cava
, Sara Silva
, Leonardo Vanneschi
, Lee Spector, Jason H. Moore
:
Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification. EvoApplications (1) 2017: 158-173 - [c66]Nicholas Freitag McPhee, Thomas Helmuth, Lee Spector:
Using algorithm configuration tools to optimize genetic programming parameters: a case study. GECCO (Companion) 2017: 243-244 - [c65]Nicholas Freitag McPhee, Maggie M. Casale, Mitchell Finzel, Thomas Helmuth, Lee Spector:
Visualizing genetic programming ancestries using graph databases. GECCO (Companion) 2017: 245-246 - [c64]Lee Spector, Nicholas Freitag McPhee:
Expressive genetic programming: concepts and applications. GECCO (Companion) 2017: 852-871 - [c63]Thomas Helmuth, Nicholas Freitag McPhee, Edward R. Pantridge, Lee Spector:
Improving generalization of evolved programs through automatic simplification. GECCO 2017: 937-944 - [c62]Lee Spector, Eva Moscovici:
Recent developments in autoconstructive evolution. GECCO (Companion) 2017: 1154-1156 - [c61]Edward R. Pantridge, Lee Spector:
PyshGP: PushGP in Python. GECCO (Companion) 2017: 1255-1262 - [c60]Edward R. Pantridge, Thomas Helmuth, Nicholas Freitag McPhee, Lee Spector:
On the difficulty of benchmarking inductive program synthesis methods. GECCO (Companion) 2017: 1589-1596 - [c59]Lee Spector, William G. La Cava, Saul Shanabrook, Thomas Helmuth, Edward R. Pantridge:
Relaxations of Lexicase Parent Selection. GPTP 2017: 105-120 - [i1]William G. La Cava, Thomas Helmuth, Lee Spector, Jason H. Moore:
$ε$-Lexicase selection: a probabilistic and multi-objective analysis of lexicase selection in continuous domains. CoRR abs/1709.05394 (2017) - 2016
- [j32]Tim Taylor
, Mark A. Bedau, Alastair Channon, David H. Ackley, Wolfgang Banzhaf, Guillaume Beslon
, Emily L. Dolson
, Tom Froese
, Simon J. Hickinbotham, Takashi Ikegami, Barry McMullin, Norman H. Packard, Steen Rasmussen, Nathaniel Virgo
, Eran Agmon, Edward Clark, Simon McGregor, Charles Ofria, Glen E. P. Ropella
, Lee Spector, Kenneth O. Stanley, Adam Stanton
, Christopher Steven Timperley, Anya E. Vostinar, Michael J. Wiser
:
Open-Ended Evolution: Perspectives from the OEE Workshop in York. Artif. Life 22(3): 408-423 (2016) - [j31]William G. La Cava
, Kourosh Danai, Lee Spector:
Inference of compact nonlinear dynamic models by epigenetic local search. Eng. Appl. Artif. Intell. 55: 292-306 (2016) - [j30]Lee Spector:
Editorial introduction. Genet. Program. Evolvable Mach. 17(1): 1-2 (2016) - [j29]David M. Clark, Maarten Keijzer, Lee Spector:
Evolution of algebraic terms 2: Deep drilling algorithm. Int. J. Algebra Comput. 26(6): 1141-1176 (2016) - [j28]Wolfgang Banzhaf, Bert Baumgaertner
, Guillaume Beslon
, René Doursat, James A. Foster, Barry McMullin, Vinícius Veloso de Melo, Thomas Miconi, Lee Spector, Susan Stepney
, Roger White:
Defining and simulating open-ended novelty: requirements, guidelines, and challenges. Theory Biosci. 135(3): 131-161 (2016) - [c58]Lee Spector, Nicholas Freitag McPhee:
Expressive Genetic Programming: Concepts and Applications. GECCO (Companion) 2016: 589-608 - [c57]Thomas Helmuth, Nicholas Freitag McPhee, Lee Spector:
The Impact of Hyperselection on Lexicase Selection. GECCO 2016: 717-724 - [c56]William G. La Cava
, Lee Spector, Kourosh Danai:
Epsilon-Lexicase Selection for Regression. GECCO 2016: 741-748 - [c55]Thomas Helmuth, Nicholas Freitag McPhee, Lee Spector:
Effects of Lexicase and Tournament Selection on Diversity Recovery and Maintenance. GECCO (Companion) 2016: 983-990 - [c54]Edward R. Pantridge, Lee Spector:
Evolution of Layer Based Neural Networks: Preliminary Report. GECCO (Companion) 2016: 1015-1022 - [c53]Lee Spector, Nicholas Freitag McPhee, Thomas Helmuth, Maggie M. Casale, Julian Oks:
Evolution Evolves with Autoconstruction. GECCO (Companion) 2016: 1349-1356 - [c52]Nicholas Freitag McPhee, Maggie M. Casale, Mitchell Finzel, Thomas Helmuth, Lee Spector:
Visualizing Genetic Programming Ancestries. GECCO (Companion) 2016: 1419-1426 - [c51]Nicholas Freitag McPhee, Mitchell D. Finzel, Maggie M. Casale, Thomas Helmuth, Lee Spector:
A Detailed Analysis of a PushGP Run. GPTP 2016: 65-83 - [c50]Thomas Helmuth, Lee Spector, Nicholas Freitag McPhee, Saul Shanabrook:
Linear Genomes for Structured Programs. GPTP 2016: 85-100 - 2015
- [j27]Lee Spector:
Editorial introduction. Genet. Program. Evolvable Mach. 16(1): 1-2 (2015) - [j26]Thomas Helmuth
, Lee Spector, James Matheson:
Solving Uncompromising Problems With Lexicase Selection. IEEE Trans. Evol. Comput. 19(5): 630-643 (2015) - [c49]Lee Spector:
Expressive Genetic Programming. GECCO (Companion) 2015: 409-434 - [c48]Thomas Helmuth, Lee Spector:
General Program Synthesis Benchmark Suite. GECCO 2015: 1039-1046 - [c47]William G. La Cava
, Thomas Helmuth, Lee Spector, Kourosh Danai:
Genetic Programming with Epigenetic Local Search. GECCO 2015: 1055-1062 - [c46]Pawel Liskowski, Krzysztof Krawiec
, Thomas Helmuth, Lee Spector:
Comparison of Semantic-aware Selection Methods in Genetic Programming. GECCO (Companion) 2015: 1301-1307 - [c45]Thomas Helmuth, Nicholas Freitag McPhee, Lee Spector:
Lexicase Selection for Program Synthesis: A Diversity Analysis. GPTP 2015: 151-167 - 2014
- [j25]Lee Spector:
Introduction. Genet. Program. Evolvable Mach. 15(1): 1-2 (2014) - [j24]Lee Spector:
Peer commentary on Wolfgang Banzhaf's "genetic programming and emergence". Genet. Program. Evolvable Mach. 15(1): 61-62 (2014) - [j23]Lee Spector:
Acknowledgment. Genet. Program. Evolvable Mach. 15(1): 113-114 (2014) - [c44]William G. La Cava
, Lee Spector, Kourosh Danai, Matthew Lackner:
Evolving differential equations with developmental linear genetic programming and epigenetic hill climbing. GECCO (Companion) 2014: 141-142 - [c43]Lee Spector, Thomas Helmuth:
Effective simplification of evolved push programs using a simple, stochastic hill-climber. GECCO (Companion) 2014: 147-148 - [c42]Lee Spector:
Expressive genetic programming. GECCO (Companion) 2014: 581-606 - [c41]Thomas Helmuth, Lee Spector:
Word count as a traditional programming benchmark problem for genetic programming. GECCO 2014: 919-926 - [c40]William G. La Cava, Lee Spector:
Inheritable Epigenetics in Genetic Programming. GPTP 2014: 37-51 - [c39]Karthik Kannappan, Lee Spector, Moshe Sipper, Thomas Helmuth, William G. La Cava, Jake Wisdom, Omri Bernstein:
Analyzing a Decade of Human-Competitive ("HUMIE") Winners: What Can We Learn? GPTP 2014: 149-166 - 2013
- [j22]Lee Spector:
Introduction. Genet. Program. Evolvable Mach. 14(1): 1-2 (2013) - [c38]Lee Spector:
Expressive genetic programming. GECCO (Companion) 2013: 683-714 - [c37]Leonardo Trujillo
, Lee Spector, Enrique Naredo
, Yuliana Martínez:
A behavior-based analysis of modal problems. GECCO (Companion) 2013: 1047-1054 - [c36]Thomas Helmuth, Lee Spector:
Evolving a digital multiplier with the pushgp genetic programming system. GECCO (Companion) 2013: 1627-1634 - [c35]Lee Spector, Thomas Helmuth:
Uniform Linear Transformation with Repair and Alternation in Genetic Programming. GPTP 2013: 137-153 - 2012
- [j21]Lee Spector:
Editorial introduction. Genet. Program. Evolvable Mach. 13(1): 1-2 (2012) - [c34]Kyle Ira Harrington, Lee Spector, Jordan B. Pollack, Una-May O'Reilly:
Autoconstructive evolution for structural problems. GECCO (Companion) 2012: 75-82 - [c33]Lee Spector:
Assessment of problem modality by differential performance of lexicase selection in genetic programming: a preliminary report. GECCO (Companion) 2012: 401-408 - [c32]Emma Tosch, Lee Spector:
Achieving COSMOS: a metric for determining when to give up and when to reach for the stars. GECCO (Companion) 2012: 417-424 - [c31]Lee Spector, Kyle Ira Harrington, Thomas Helmuth:
Tag-based modularity in tree-based genetic programming. GECCO 2012: 815-822 - [c30]Lee Spector:
Expressive genetic programming: tutorial: 2012 genetic and evolutionary computation conference (GECCO-2012). GECCO (Companion) 2012: 983-1012 - [c29]Thomas Helmuth, Lee Spector:
Empirical investigation of size-based tournaments for node selection in genetic programming. GECCO (Companion) 2012: 1485-1486 - 2011
- [j20]Lee Spector:
Editorial introduction. Genet. Program. Evolvable Mach. 12(1): 1-2 (2011) - [j19]Lee Spector:
Acknowledgment. Genet. Program. Evolvable Mach. 12(1): 3-4 (2011) - [c28]Tony McCaffrey, Lee Spector:
Innovation is built on the obscure: innovation-enhancing software for uncovering the obscure. Creativity & Cognition 2011: 371-372 - [c27]Lee Spector, Thomas Helmuth, Kyle Ira Harrington:
Fecundity and selectivity in evolutionary computation. GECCO (Companion) 2011: 129-130 - [c26]Scott Niekum, Lee Spector, Andrew G. Barto:
Evolution of reward functions for reinforcement learning. GECCO (Companion) 2011: 177-178 - [c25]Thomas Helmuth, Lee Spector, Brian Martin:
Size-based tournaments for node selection. GECCO (Companion) 2011: 799-802 - [c24]Lee Spector:
Evolving quantum computer algorithms. GECCO (Companion) 2011: 1081-1110 - [c23]Lee Spector, Brian Martin, Kyle Ira Harrington, Thomas Helmuth:
Tag-based modules in genetic programming. GECCO 2011: 1419-1426 - [c22]Tony McCaffrey, Lee Spector:
How the Obscure Features Hypothesis Leads to Innovation Assistant Software. ICCC 2011: 120-122 - 2010
- [j18]Lee Spector:
Editorial introduction. Genet. Program. Evolvable Mach. 11(1): 1-2 (2010) - [j17]Lee Spector:
Acknowledgment. Genet. Program. Evolvable Mach. 11(1): 3-4 (2010) - [j16]Scott Niekum, Andrew G. Barto, Lee Spector:
Genetic Programming for Reward Function Search. IEEE Trans. Auton. Ment. Dev. 2(2): 83-90 (2010) - [c21]Lee Spector:
Evolution of quantum algorithms. GECCO (Companion) 2010: 2739-2768
2000 – 2009
- 2009
- [j15]Lee Spector:
Editorial introduction. Genet. Program. Evolvable Mach. 10(1): 1-2 (2009) - [j14]Lee Spector:
Acknowledgment. Genet. Program. Evolvable Mach. 10(1): 3-4 (2009) - [c20]Lee Spector:
Evolving quantum computer algorithms. GECCO (Companion) 2009: 3287-3316 - 2008
- [j13]Lee Spector:
Introduction to the Special Issue on genetic programming for human-competitive designs. Artif. Intell. Eng. Des. Anal. Manuf. 22(3): 183-184 (2008) - [j12]Lee Spector, Jon Klein:
Machine invention of quantum computing circuits by means of genetic programming. Artif. Intell. Eng. Des. Anal. Manuf. 22(3): 275-283 (2008) - [c19]Lee Spector, David M. Clark, Ian Lindsay, Bradford Barr, Jon Klein:
Genetic programming for finite algebras. GECCO 2008: 1291-1298 - [c18]Lee Spector:
Quantum computing. GECCO (Companion) 2008: 2865-2894 - 2007
- [c17]Lee Spector, Jon Klein, Mark Feinstein:
Division blocks and the open-ended evolution of development, form, and behavior. GECCO 2007: 316-323 - [c16]Jon Klein, Lee Spector:
Unwitting distributed genetic programming via asynchronous JavaScript and XML. GECCO 2007: 1628-1635 - [c15]Lee Spector:
Quantum computing. GECCO (Companion) 2007: 3645-3674 - 2006
- [j11]Lee Spector:
Evolution of artificial intelligence. Artif. Intell. 170(18): 1251-1253 (2006) - [j10]Lee Spector, Jon Klein:
Genetic Stability and Territorial Structure Facilitate the Evolution of Tag-Mediated Altruism. Artif. Life 12(4): 553-560 (2006) - 2005
- [j9]Lee Spector, Jon Klein, Chris Perry, Mark Feinstein:
Emergence of Collective Behavior in Evolving Populations of Flying Agents. Genet. Program. Evolvable Mach. 6(1): 111-125 (2005) - [c14]Lee Spector, Jon Klein, Kyle Ira Harrington, Raymond Coppinger:
Teaching the evolution of behavior with SuperDuperWalker. AIED 2005: 923-925 - [c13]Andrew Stout, Lee Spector:
Validation of evolutionary activity metrics for long-term evolutionary dynamics. GECCO 2005: 137-142 - [c12]Lee Spector, Jon Klein, Maarten Keijzer:
The Push3 execution stack and the evolution of control. GECCO 2005: 1689-1696 - 2004
- [c11]Lee Spector, Jon Klein, Chris Perry:
Tags and the Evolution of Cooperation in Complex Environments. AAAI Technical Report (2) 2004: 111-117 - [e3]Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund K. Burke, Paul J. Darwen, Dipankar Dasgupta, Dario Floreano, James A. Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector, Andrea Tettamanzi, Dirk Thierens, Andrew M. Tyrrell:
Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part I. Lecture Notes in Computer Science 3102, Springer 2004, ISBN 3-540-22344-4 [contents] - [e2]Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund K. Burke, Paul J. Darwen, Dipankar Dasgupta, Dario Floreano, James A. Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector, Andrea Tettamanzi, Dirk Thierens, Andrew M. Tyrrell:
Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part II. Lecture Notes in Computer Science 3103, Springer 2004, ISBN 3-540-22343-6 [contents] - 2003
- [c10]Lee Spector, Jon Klein, Chris Perry, Mark Feinstein:
Emergence of Collective Behavior in Evolving Populations of Flying Agents. GECCO 2003: 61-73 - 2002
- [j8]Lee Spector, Alan J. Robinson:
Genetic Programming and Autoconstructive Evolution with the Push Programming Language. Genet. Program. Evolvable Mach. 3(1): 7-40 (2002) - [j7]Lee Spector:
Book Review: The Quest for the Quantum Computer. Genet. Program. Evolvable Mach. 3(4): 391-393 (2002) - [c9]Alan J. Robinson, Lee Spector:
Using Genetic Programming with Multiple Data Types and Automatic Modularization to Evolve Decentralized and Coordinated Navigation in Multi-Agent Systems. GECCO Late Breaking Papers 2002: 391-396 - [c8]Raphael Crawford-Marks, Lee Spector:
Size Control Via Size Fair Genetic Operators In The PushGP Genetic Programming System. GECCO 2002: 733-739 - 2001
- [j6]Mary Jo Rattermann, Lee Spector, Jordan Henry Grafman
, Harvey Levin, Harriet Harward:
Partial and total-order planning: evidence from normal and prefrontally damaged populations. Cogn. Sci. 25(6): 941-975 (2001) - 2000
- [e1]L. Darrell Whitley, David E. Goldberg, Erick Cantú-Paz, Lee Spector, Ian C. Parmee, Hans-Georg Beyer:
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000. Morgan Kaufmann 2000, ISBN 1-55860-708-0 [contents]
1990 – 1999
- 1999
- [c7]Lee Spector, Howard Barnum
, Herbert J. Bernstein, Nikhil Swamy:
Finding a better-than-classical quantum AND/OR algorithm using genetic programming. CEC 1999: 2239-2246 - 1997
- [j5]Lee Spector:
New Directions: Automatic Generation of Intelligent Agent Programs. IEEE Expert 12(1): 3-4 (1997) - [c6]Sean Luke, Lee Spector, David Rager, James A. Hendler:
Ontology-based Web Agents. Agents 1997: 59-66 - 1995
- [j4]Lee Spector:
Artificial Intelligence as the Liberal Arts of Computer Science. SIGART Bull. 6(2): 8-10 (1995) - 1994
- [j3]Matthew P. Evett, James A. Hendler, Lee Spector:
Parallel Knowledge Representation on the Connection Machine. J. Parallel Distributed Comput. 22(2): 168-184 (1994) - [c5]Lee Spector, Adam Alpern:
Criticism, Culture, and the Automatic Generation of Artworks. AAAI 1994: 3-8 - [c4]Lee Spector, Mary Jo Rattermann, Kristen Prentice:
Ordering Relations in Human and Machine Planning. AAAI 1994: 80-85 - [c3]Lee Spector:
Genetic Programming and AI Planning Systems. AAAI 1994: 1329-1334 - [c2]Lee Spector, James A. Hendler:
The Use of Supervenience in Dynamic-world Planning. AIPS 1994: 158-163 - 1992
- [j2]Lee Spector, James A. Hendler:
Planning and Reacting Across Supervenient Level of Representation. Int. J. Cooperative Inf. Syst. 1(3-4): 411-450 (1992)
1980 – 1989
- 1989
- [j1]Lee Spector, James A. Hendler:
Christopher Cherniak, Minimal Rationality. Artif. Intell. 39(1): 137-139 (1989) - [c1]Matthew P. Evett, Lee Spector, Jim Hendler:
Knowledge representation on the connection machine. SC 1989: 283-293
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
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