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The Baldwin Effect: A Bibliography
Last updated: Jan. 2007
Latest news
- Twe papers were added (Apr. 2007).
- One paper was added (Jan. 2007).
- One paper was added (Nov. 2006).
- Three papers were added (Aug. 2006).
This page was created by Peter Turney (.Oct.
1996-), maintained by Joanna Bryson (Dec.
2001-) and currently maintained by Reiji Suzuki (0ct.
2003-).
Bibliography
- Suzuki, R. and Arita, T.: "Repeated Occurrences of the Baldwin Effect Can
Guide Evolution on Rugged Fitness Landscapes", Proceedings of the IEEE
Symposium on Artificial Life (CI-ALife'07), , pp. 8-14 (2007). *1
--1
- Suzuki, R. and Arita, T.: "Adaptation of Iterated Prisoner's Dilemma
Strategies by Evolution and Learning", Proceedings of the 2007 IEEE Symposium
on Computational Intelligence and Games (CIG 2007), , pp. 40-47 (2007).
--1
- Suzuki, R. and Arita, T.: "The Dynamic Changes in Roles of Learning
through the Baldwin effect", Artificial Life, 13(1), pp. 31-43 (2007). *1
New!
- Longa, V. M.: "A misconception about the Baldwin Effect: Implications for
language evolution", Folia Linguistica, 40(3-4), pp. 305-318 (2006).
- Paenke, I., Kawecki, T. and Sendhoff, B.: "On the Influence of Lifetime
Learning on Selection Pressure", Proceedings of Artificial Life X, pp. 500-506
(2006).
- Mills, R. and Watson, R. A.: "On Crossing Fitness Valleys with the Baldwin
Effect", Proceedings of Artificial Life X, pp. 493-499 (2006).
- Mills, R. and Watson, R. A.: "Genetic assimilation and canalization in the
Baldwin effect", Proceedings of the Eighth European Conference on Artificial
Life, pp. 353-362 (2005).
- Ananth, M.: "Psycholgical Altruism Vs. Biological Altruism: Narrowing the
Gap with the Baldwin Effect", Acta Biotheoretica, 53, pp. 217-239 (2005).
- Downing, K. L.: "Development and the Baldwin effect", Artificial Life,
10(1), pp. 39-63 (2004).
- Yamauchi, H.: "Baldwinian Accounts of Language Evolution", PhD thesis,
Theoretical and Applied Linguistics, University of Edinburgh, Scotland, pp.
(2004). *1
- Reiji Suzuki, Takaya Arita: "Interactions between Learning and Evolution:
Outstanding Strategy Generated by the Baldwin Effect", Biosystems, 77(1-3),
pp. 57-71 (2004). *1
- Reiji Suzuki, Takaya Arita: "Emergent Dynamics of Benefit and Cost of
Learning in the Course of Evolution", Proceedings of the 5th International
Conference on Simulated Evolution and Learning,, STP-1-107, pp. (1-6) (2004).
*1
- Reiji Suzuki, Takaya Arita: "Drastic Changes in Roles of Learning in the
Course of Evolution", Proceedings of Artificial Life IX, pp. 369-374 (2004).
*1
- Reiji Suzuki, Takaya Arita: "The Baldwin Effect Revisited: Three Steps
Characterized by the Quantitative Evolution of Phenotypic Plasticity",
Proceedings of Seventh European Conference on Artificial Life, pp. 395-404
(2003). *1
- Weber, B. H. and Depew, D. J.: Evolution and Learning - The Baldwin Effect
Reconsidered -, pp. (2003). *1
*2
- Dopazo, H., Gordon, M., Perazzo, R. and Rissau, S.: "A model for the
emergence of adaptive subsystems.", Bull. Math. Biol., 65, pp. 27-56 (2003).
- Dopazo, H. and Perazzo, R.: "Mutual influence of learning and evolution.",
Complexity International, 9, pp. (2002).
- Munroe, S. and Cangelosi, A.: "Learning and the Evolution of Language: The
Role of Culutural Cariation and Learning Costs in the Baldwin Effect",
Artificial Life, 8(4), pp. 311-339 (2002).
- Wiles, J., Watson, J., Tonkes, B., & Deacon, T. W.: "Strange loops in
learning and evolution", Presented at the International Conference on Complex
Systems (ICCS 2002), pp. (2002).
- Watson, J. and Wiles, J.: "The rise and fall of learning: A neural network
model of the genetic assimilation of acquired traits", Proceedings of the 2002
Congress on Evolutionary Computation (CEC 2002), pp. 600-605 (2002).
- Dopazo, H., Gordon, M., Perazzo, R. and Rissau, S.: "A model for the
interaction of learning and evolution.", Bull. Math. Biol., 63, pp. 117-134
(2001).
- Lindahl, B.I.B.: "Consciousness, Behavioural Patterns and the Direction of
Biological Evolution: Implications for the Mind-Brain Problem", Dimensions of
Conscious Experience, pp. 73-99 (2001).
- Pereira, F.B., and Costa, E.: "Understanding the role of learning in the
evolution of Busy Beavers: a comparison between the Baldwin Effect and a
Lamarckian strategy", Proceedings of the Genetic and Evolutionary Computation
Conference (GECCO-2001), pp. (2001). *1
*2
*3
- Salazar-Ciudad, I., Newman, S.A., and SolE R.: "Phenotypic and dynamical
transitions in model genetic networks. I. Emergence of patterns and
genotype-phenotype relationships", Evolution & Development, 3, pp. 84-94
(2001). *1
- Salazar-Ciudad, I., Sol・ R., and Newman, S.A.: "Phenotypic and dynamical
transitions in model genetic networks. II. Application to the evolution of
segmentation mechanisms", Evolution & Development, 3, pp. 95-103 (2001).
*1
- Wiles, J., Tonkes, B. & Watson, J.: "How learning can guide evolution
in hierarchical modular tasks", Proceedings of the 23rd Annual Conference of
the Cognitive Science Society (CogSci 2001), pp. 1130-1135 (2001).
- Wiles, J., Shulz, R., Bolland, S., Tonkes, B., & Hallinan, J.:
"Selection procedures for module discovery: Exploring evolutionary algorithms
for cognitive science", Proceedings of the 23rd Annual Conference of the
Cognitive Science Society (CogSci 2001), pp. 1124-1129 (2001).
- Wiles, J., Schulz, R., Hallinan, J., Bolland, S. & Tonkes, B.:
"Probing the persistent question marks", Proceedings of the Genetic and
Evolutionary Computation Conference (GECCO-2001), pp. 710-717 (2001).
- Arita, T., and Suzuki, R.: "Interactions between learning and evolution:
The outstanding strategy generated by the Baldwin effect", Proceedings of
Artificial Life VII, pp. 196-205 (2000). *1
*2 *3
- Reiji Suzuki, Takaya Arita: "Interaction between Evolution and Learning in
a Population of Globally or Locally Interacting Agents", Proceedings of 7th
International Conference on Neural Information Processing, pp. 738-743 (2000).
*1
- Arita Takaya, Reiji Suzuki: "Interactions between Learning and Evolution
-Outstanding Strategy generated by the Baldwin Effect-", Proceedings of Alife
VII, pp. 196-205 (2000). *1
*2 *3
- Reiji Suzuki, Takaya Arita: "How learning Can Affect the Course of
Evolution in Dynamic environments", Proceedings of the Fifth International
Symposium on Artificial Life and Robotics, pp. 260-263 (2000). *1
- Turney, P.: "A simple model of unbounded evolutionary versatility as a
largest-scale trend in organismal evolution", Artificial Life, 6, pp. 109-128
(2000). *1 *2
- Yamasaki, K., and Sekiguchi, M.: "Dynamic environment adds various aspects
for the adaptation of the organism", roceedings of the Sixth International
Conference on the Simulation of Adaptive Behavior, pp. 254-263 (2000).
- Yamasaki, K., and Sekiguchi, M.: "Clear explanation of different adaptive
behaviors between Darwinian population and Lamarckian population in changing
environment", Proceedings of the Fifth International Symposium on Artificial
Life and Robotics, 1, pp. 120-123 (2000).
- Ancel, L.W.: "A quantitative model of the Simpson-Baldwin effect", Journal
of Theoretical Biology, 196, pp. 197-209 (1999).
- Bull, L.: "On the Baldwin Effect", Artificial Life, 5, pp. 241-246 (1999).
- Loredo, J.C.: "The current projection of James Mark Baldwin", Ph.D.
Thesis. Universidad Nacional de Educacion a Distancia, Madrid, Spain (in
Spanish; no English translation.), pp. (1999).
- Robinson, B.W., and Dukas, R.: "The influence of phenotypic modifications
on evolution: The Baldwin effect and modern perspectives", Oikos, 85, pp.
582-589 (1999).
- Turney, P.: "Increasing evolvability considered as a large-scale trend in
evolution", Workshop on Evolvability at the 1999 Genetic and Evolutionary
Computation Conference (GECCO-99), pp. (1999). *1 *2
- Schlichting, C. D., and Pigliucci, M.: "Phenotypic Evolution: A Reaction
Norm Perspective", , pp. (1998).
- Mayley, G.: "Guiding or hiding: Explorations into the effects of learning
on the rate of evolution", Proceedings of the Fourth European Conference on
Artificial Life (ecal97), pp. (1997).
- Anderson, R.W.: "How adaptive antibodies facilitate the evolution of
natural antibodies.", Immunology and Cell Biology, 74(2), pp. 286-291 (1996).
*1
- Bala, J., De Jong, K., Huang, J., Vafaie, H., and Wechsler, H.: "Using
learning to facilitate the evolution of features for recognizing visual
concepts", Evolutionary Computation, 4(3), pp. 297-311 (1996). *1
- Batali, J. and Grundy, W.N.: "Modeling the evolution of motivation",
Evolutionary Computation, 4(3), pp. 235-270 (1996). *1
- Belew, R.K. and Mitchell, M. (Eds.): Adaptive Individuals in Evolving
Populations: Models and Algorithms, pp. (1996).
- Cecconi, F., Menczer, F., and Belew, R.K.: "Maturation and the evolution
of imitative learning in artificial organisms", Adaptive Behavior, 4, pp.
29-50 (1996). *1 *2
- Hart, W.E., and Belew, R.K.: "Optimization with genetic algorithm hybrids
that use local search", Adaptive Individuals in Evolving Populations: Models
and Algorithms, pp. (1996). *1
- Harvey, I.: "Relearning and evolution in neural networks", Adaptive
Behavior, 4, pp. 81-84 (1996). *1
- Harvey, I.: "Is There Another New Factor in Evolution?", Evolutionary
Computation, 4(3), pp. 313-329 (1996). *1
- Hightower, R., Forrest, S., and Perelson, A.: "The Baldwin effect in the
immune system:learning by somatic hypermutation", Adaptive Individuals in
Evolving Populations: Models and Algorithms, pp. (1996). *1
- Mayley, G.: "Landscapes, learning costs and genetic assimilation",
Evolutionary Computation, 4(3), pp. 213-234 (1996).
- Mayley, G.: "The evolutionary cost of learning", From Animals to Animats:
Proceedings of the Fourth International Conference on Simulation of Adaptive
Behaviour, pp. 458-467 (1996).
- Turney, P.: "Myths and legends of the Baldwin effect", Proceedings of the
Workshop on Evolutionary Computing and Machine Learning at the 13th
International Conference on Machine Learning (ICML-96), pp. 135-142 (1996). *1 *2
- Turney, P.: "How to shift bias: Lessons from the Baldwin effect,",
Evolutionary Computation, 4(3), pp. 271-295 (1996). *1 *2
- Turney, P., Whitley, D., and Anderson, R.W.: "Evolution, learning, and
instinct: 100 years of the Baldwin effect", Evolutionary Computation, 4(3),
pp. iv-Viii (1996). *1 *2 *3 *4
- Anderson, R.W.: "Learning and evolution: A quantitative genetics
approach", Journal of Theoretical Biology, 175, pp. 89-101 (1995). *1
- Anderson, R.W.: "Genetic mechanisms underlying the Baldwin effect are
evident in natural antibodies", Evolutionary Programming IV: The Edited
Proceedings of the Fourth Annual Conference on Evolutionary Programming, pp.
547-563 (1995). *1
- Behera, N., and Nanjundiah, V.: "An investigation into the role of
phenotypic plasticity in evolution", Journal of Theoretical Biology, 172, pp.
225-234 (1995).
--extends Hinton and Nowlan (1987) to take into account the
initial measure of fit (i.e., the initial number of 1s) between an individual
and the optimum
- Hart, W.E., Kammeyer, T.E., and Belew, R.K.: "The role of development in
genetic algorithms", Foundations of Genetic Algorithms 3, pp. (1995). *1 *2
- Boers, E.J.W., Borst, M.V., and Sprinkhuizen-Kuyper, I.G.: "Evolving
artificial neural networks using the Baldwin effect", Artificial Neural Nets
and Genetic Algorithms, Proceedings of the International Conference in Ales,
France., pp. 333-336 (1994).
- French, R., and Messinger, A.: "Genes, phenes and the Baldwin effect",
Proceedings of Artificial Life IV, pp. 277-282 (1994). *1 *2
- Gonzalez, J.C.S.: "The Baldwin Effect. The functionalistic proposal for a
psychobiological synthesis", Ph.D. Thesis, University of Oviedo, Spain (in
Spanish; no English translation.), pp. (1994).
- Hart, W.E.: "Adaptive Global Optimization with Local Search", Ph.D.
Thesis, Department of Computer Science and Engineering, University of
California, San Diego, pp. (1994).
- Menczer, F., and Belew, R.K.: "Evolving sensors in environments of
controlled complexity", Proceedings of Artificial Life IV, pp. (1994). *1
- Nolfi, S., Elman, J.L., and Parisi, D: "Learning and evolution in neural
networks", Adaptive Behavior, 3, pp. 5月28日 (1994). *1 *2
- Unemi, T., Nagayoshi, M., Hirayama, N., Nade, T., Yano, K., and Masujima,
Y.: "Evolutionary differentiation of learning abilities - a case study on
optimizing parameter values in Q-learning by a genetic algorithm", Proceedings
of Artificial Life IV, pp. (1994). *1
- Whitley, D., Gordon, S., and Mathias, K.: "Lamarckian evolution, the
Baldwin effect and function optimization", Parallel Problem Solving from
Nature - PPSN III, pp. 6月15日 (1994). *1
- Harvey, I.: "The puzzle of the persistent question marks: A case study of
genetic drift", Proceedings of the Fifth International Conference on Genetic
Algorithms, ICGA-93, pp. (1993). *1
--looks at why
question marks remain in Hinton and Nowlan's (1987) population
- Scheiner, S.: "Genetics and evolution of phenotypic plasticity", Annual
Review of Ecology and Systematics, 24, pp. 35-68 (1993).
--biological
perspective on phenotypic plasticity
- Whitley, D., and Gruau, F.: "Adding learning to the cellular development
of neural networks: Evolution and the Baldwin effect", Evolutionary
Computation, 1, pp. 213-233 (1993). *1
- Gottlieb, G.: "Evolution: The modern synthesis and its failure to
incorporate individual development into evolutionary theory", Individual
Development and Evolution: The Genesis of Novel Behavior, pp. (1992).
- Ackley, D., and Littman, M.: "Interactions between learning and
evolution", Proceedings of the Second Conference on Artificial Life, pp.
487-509 (1991). *1 *2
--one of the few papers
that looks at both the benefits and the costs of learning
- Belew, R.K.: "Evolution, learning and culture: computational metaphors for
adaptive search", Complex Systems, 4, pp. 11-49 (1991). *1
- Belew, R.K., McInerney, J., and Schraudolph, N.N.: "Evolving networks:
Using the Genetic Algorithm with connectionist learning", Proceedings of the
Second Artificial Life Conference, pp. 511-547 (1991). *1 *2
- Stork, D.G., and Keesing, R.: "Evolution and learning in neural networks:
The number and distribution of learning trials affect the rate of evolution",
Proceedings of Neural Information Processing Systems (NIPS-3), pp. 804-810
(1991).
- Schull, J.: "Are species intelligent?", Behavioral and Brain Sciences,
13(1), pp. 61-73 (1990).
- Belew, R.K.: "When both individuals and populations search: Adding simple
learning to the Genetic Algorithm", Proceedings of the Third International
Conference on Genetic Algorithms, pp. 34-41 (1989). *1
- Wcislo, W.T.: "Behavioral environments and evolutionary change", Annual
Review of Ecology and Systematics, 20, pp. 137-169 (1989).
--an excellent
survey of the Baldwin effect from the perspective of biology, with more than
250 references
- West-Eberhard, M.: "Phenotypic plasticity and the origins of diversity",
Annual Review of Ecology and Systematics, 20, pp. 249-278
(1989).
--biological perspective on phenotypic plasticity
- Hinton, G.E., and Nowlan, S.J.: "How learning can guide evolution",
Complex Systems, 1, pp. 495-502 (1987). *1
--the first
computational study of the Baldwin effect
- Maynard Smith, J.: "When learning guides evolution", Nature, 329, pp.
761-762 (1987).
- Richards, R.J.: "Darwin and the Emergence of Evolutionary Theories of Mind
and Behavior", , pp. (1987).
--includes historical treatment of Baldwin
- Simpson, G.C.: "The Baldwin effect", Evolution, 7, pp. 110-117
(1953).
--the history surrounding the status of the Baldwin effect in
evolutionary biology up to the early 1950's
- Waddington, C.H.: "Canalization of development and the inheritance of
acquired characters", Nature, 150, pp. 563-565 (1942).
- Baldwin, J.M.: "A new factor in evolution", American Naturalist, 30, pp.
441-451 (1896). *1
--one of the three foundational papers, now available in hypertext; see
also Morgan (1896) and Osborn (1896); see Wcislo (1989) for a history
- Morgan, C.L.: "On modification and variation", Science, 4, pp. 733-740
(1896).
- Osborn, H.F.: "Ontogenic and phylogenic variation", Science, 4, pp.
786-789 (1896).