A Short, Selective, and Provisional GA, Evolution, and Artificial Life Bibliography for di
A Short, Selective, and Provisional GA, Evolution, and Artificial Life
Bibliography
for distribution at ICGA-4 1991
prepared by Geoffrey F. Miller (geoffrey@psych.stanford.edu)
and Peter M. Todd (todd@psych.stanford.edu)
References organized by topic; * = highly recommended and topical.
This list is also available by email from the addresses above.
BASIC EVOLUTIONARY THEORY
Dawkins, R. (1986). The blind watchmaker. W.W. Norton.
Dawkins, R. (1982). The extended phenotype. W.H. Freeman.
Dawkins, R. (1976). The selfish gene. Oxford U. Press.
Dupre, J. (Ed.). (1987). The latest on the best: Essays on evolution and
optimality. MIT Press.
* Eldredge, N. (1989). Macroevolutionary dynamics: Species, niches, and
adaptive peaks. McGraw-Hill.
Futuyama, D.J. (1986). Evolutionary biology, 2nd Edition. Sinauer
Associates.
* Richards, R.J. (1987). Darwin and the emergence of evolutionary
theories of mind and behavior. U. Chicago Press.
Williams, G.C. (1966). Adaptation and natural selection. Princeton U. Press.
EVOLUTIONARY COMPARATIVE PSYCHOLOGY
Alcock, J. (1989). Animal behavior: An evolutionary approach (4th Ed.).
Sinauer Assocociates.
Camhi, J.M. (1984). Neuroethology. Sinauer Associates.
Driver, P.M., & D.A. Humphries. (1988). Protean behavior: The biology of
unpredictability. Clarendon Press.
Ewert, J.P. (1980). Neuroethology. Springer-Verlag.
Gould, J.J. (1982). Ethology: The mechanisms and evolution of behavior.
W.W. Norton.
Hoyle, G. (1984). The scope of neuroethology. Behavioral and Brain Sciences
7: 367-412.
Krebs, J.R., & Davies, N.B. (Eds.). (1984). Behavioral ecology: An
evolutionary approach. Blackwell Scientific.
MacKay, D.G. (1987). The organization of perception and action. Springer-
Verlag.
McFarland, D., & A. Houston (1981). Quantitative ethology: The state-space
approach. Pitman Books.
Pearce, J.M. (1987). An introduction to animal cognition. Lawrence Erlbaum.
Roitblat, H.L. (1987). Introduction to comparative cognition. W.H. Freeman.
Slater, P.J.B. (1985). An introduction to ethology. Cambridge U. Press.
Stephens, D.W., & J.R. Krebs (1986). Foraging Theory. Princeton U. Press.
EVOLUTION AND MOTIVATION
Colgan, P. (1989). Animal Motivation. Chapman & Hall.
Gallistel, C.R. (1980). The organization of action. Lawrence Erlbaum.
Maes, P. (1990). How to do the right thing. Connection Science 1(3).
Tinbergen, N. (1951). The study of instinct. Oxford U. Press.
Toates, F. (1986). Motivational systems. Cambridge U. Press.
Tolman, E.C. (1932). Purposive behavior in animals and men. Appleton-
Century-Crofts.
EVOLUTION AND LEARNING
Belew, R.K. (1990). Evolution, learning, and culture: Computational metaphors
for adaptive search. Complex Systems 4: 11-49.
Bolles, R.C., & Beecher, M.D. (Eds.). (1988). Evolution and learning.
Lawrence Erlbaum.
Davey, G. (1989). Ecological learning theory. Routledge.
Gallistel, C.R. (1991). The organization of learning. Lawrence Erlbaum.
Gardner, R.A., & B.T. Gardner (1988). Feedforward vs. feedback: An
ethological
alternative to the law of effect. Behavioral and Brain Sciences 11: 429-
493.
* Hinton, G.E., & Nowlan, S.J. (1987). How learning can guide evolution.
Complex systems 1: 495-502.
Lee, Y.C. (Ed.). (1988). Evolution, learning, and cognition. World
Scientific.
Marler, P., & H.S. Terrace. (Eds.). (1984). The biology of learning.
Springer-Verlag.
Maynard Smith, J. (1987). When learning guides evolution. Nature 329: 761-
762.
Staddon, J.E.R. (1983). Adaptive behavior and learning. Oxford U. Press.
Todd, P. M., & Miller, G. F. (1991). Exploring adaptive agency II: Simulating
the evolution of associative learning. In Meyer and Wilson (Animals to
Animats).
Todd, P. M., & Miller, G. F. (1991). Exploring adaptive agency III:
Simulating
the evolution of habituation and sensitization. In Schwefel and Manner
(PPSN).
Also see many other papers in Meyer and Wilson (Animals to Animats) and
Schwefel and Manner (PPSN).
EVOLUTIONARY HUMAN PSYCHOLOGY
Cosmides, L. (1989). The logic of social exchange: Has natural selection
shaped how humans reason? Cognition 31: 187-276.
Rozin, P. (1976). The evolution of intelligence and access to the cognitive
unconscious. In Sprague, J.M., & Epstein, A.N. (Eds.), Progress in
psychobiology and physiological psychology. Academic Press.
Shepard, R.N. (1987). Evolution of a mesh between principles of the mind and
regularities of the world. In Dupre, J. (Ed.), The latest on the best:
Essays on evolution and optimality. MIT Press.
Shepard, R.N. (1989). Internal representation of universal regularities:
A challenge for connectionism. In Nadel, L. et al. (Eds.),
Neural connections and mental computations. MIT Press.
Tooby, J., & Cosmides, L. (1990). The past explains the present: Emotional
adaptations and the structure of the ancestral environment. Ethology and
Sociobiology 11: 375-424.
* Tooby, J., Cosmides, L., and Barkow, J. (Eds.). (In Press). The adapted
mind. Oxford U. Press.
ARTIFICIAL LIFE
Beer, R.D. (1990). Intelligence as adaptive behavior: An experiment in
computational neuroethology. Academic Press.
Braitenberg, V. (1984). Vehicles. MIT Press.
Brooks, R.A. (1987). Intelligence without representations. In Proceedings
of the Workshop on Foundations of Intelligence. MIT Press.
Forrest, S.J. (Ed.). (1990). Emergent computation: Self-organizing,
collective, and cooperative computing networks. MIT Press.
* Langton, C.L. (1989). Artificial Life. MIT Press. [ALife I]
* Langton, C.L., J.D. Farmer, S. Rasmussen, & C. Taylor (Eds.). (1991).
Artificial Life II. Addison-Wesley. [ALife II]
Simon, H.A. (1982). The sciences of the artificial. MIT Press.
Toffoli, T., & N. Margolus (1987). Cellular automata machines. MIT Press.
GENETIC ALGORITHMS
Davis, L. (Ed.). (1987). Genetic algorithms and simulated annealing. Pitman
Press.
* Goldberg, D.E. (1989). Genetic algorithms in search, optimization, and
machine learning. Addison-Wesley.
Grefenstette, J.J. (1985). Proceedings of the First International Conference
on
Genetic Algorithms. Lawrence Erlbaum.
Grefenstette, J.J. (1987). Proceedings of the Second International
Conference on
Genetic Algorithms. Lawrence Erlbaum.
Holland, J. (1975). Adaptation in natural and artificial systems.
University of Michigan Press.
Schaffer, J.D. (1989). Proceedings of the Third International Conference on
Genetic
Algorithms. Morgan Kaufmann. [ICGA-3]
OTHER EVOLUTIONARY MODELING APPROACHES AND METHODS
Axelrod, R. (1984). The evolution of cooperation. Basic Books.
Fogel, L.J., A.J. Owens, & M.J. Walsh (1966). Artificial intelligence through
simulated evolution. Wiley.
Kauffman, S., & S. Levin. (1987). Towards a general theory of adaptive walks
on rugged landscapes. J. Theoretical Biology 128: 11-45.
Kauffman, S.A. (1990). Origins of order: Self-organization and selection in
evolution. Oxford U. Press.
Lendrem, D. (1986). Modelling in behavioral ecology: An introductory text.
Timber Press.
Maynard Smith, J. (1982). Evolution and the theory of games. Cambridge U.
Press.
Schwefel, H.-P., & Manner, R. (Eds.). (1991). Parallel problem solving from
nature. Springer-Verlag. [PPSN]
GENETIC ALGORITHMS AND NEURAL NETWORKS
Belew, R.K., J. McInerney, & N.N. Schraudolph (1990). Evolving networks:
Using the genetic algorithm with connectionist learning. CSE Tech. Rep.
CS90-174, UCSD.
Chalmers, D.J. (1990). The evolution of learning: An experiment in genetic
connectionism. In D.S. Touretzky et al. (Eds.), Proceedings of the
1990 Connectionist Models Summer School. Morgan Kaufmann.
Cecconi, F., & D. Parisi (1991). Evolving organisms that can reach for
objects. In Meyer and Wilson (Animals to Animats).
Hancock, P.J.B., & L.S. Smith (1991). GANNET: Genetic design of a neural
net for face recognition. In Schwefel and Manner (PPSN).
Harp, S.A., T. Samad, & A. Guha (1989). Towards the genetic synthesis of
neural networks. In Schaffer (ICGA-3).
Heistermann, J. (1991). The application of a genetic approach as an
algorithm for neural networks. In Schwefel and Manner (PPSN).
Hoffgen, K.-U., H.P. Siemon, & A. Ultsch, (1991). Genetic improvements
in feedforward nets for approximating functions. In Schwefel and Manner
(PPSN).
Kitano, H. (1990). Designing neural networks using genetic algorithms with
graph generation system. Complex Systems 4: 461-476.
Miller, G.F., P.M. Todd, & S.U. Hedge (1989). Designing neural networks using
genetic algorithms. In Shaffer (ICGA-3).
Parisi, D., F. Cecconi, & S. Nolfi (1990). ECONETS: Neural networks that
learn in an environment. Network 2: 1-21.
Rudnick, M. (1990). A bibliography of the intersection of genetic search
and artificial neural networks. Tech. Rep. CS/E 90-001, Oregon Graduate
Institute, University of Oregon.
Stork, D.G., & R. Keesing (In press). Evolution and learning in neural
networks.
In D.S. Touretzky (Ed.), Neural Information Processing Systems III.
Weiss, G. (1990). Combining neural and evolutionary learning: Aspects and
approaches. Institut fur Informatik Tech. Rep., Technische Universitat
Munchen.
Whitley, D.W., & T. Hanson (1989). Optimizing neural networks using faster,
more accurate genetic search. In Schaffer (ICGA-3).
EVOLUTIONARY APPROACHES TO ARTIFICIAL LIFE
* Ackley, D.H., & Littman, M.L. (1991). Learning from natural selection in an
artificial environment. In Langton et al. (ALife II).
Collins, R.J., & D.R. Jefferson (1991). AntFarm: A progress report. In
Langton et al. (ALife II).
Collins, R.J., & D.R. Jefferson (1991). Representations for artificial
organisms. In Meyer and Wilson (Animals to Animats).
Harvey, I. (1991). The artificial evolution of behavior. In Meyer and Wilson
(Animals to Animats).
Jefferson, D. et al. (1991). The GeneSys System: Evolution as a theme in
artificial life. In Langton et al. (ALife II).
Koza, J.R. (1991). Evolution and co-evolution of computer programs to control
independently-acting agents. In Meyer and Wilson (Animals to Animats).
* Meyer, J.-A., & S.W. Wilson (Eds.). (1991). Proceedings of the First
International Conference on Simulation of Adaptive Behavior: From Animals
to Animats. MIT Press/Bradford Books. [Animals to Animats]
Miller, G.F. (1991). The evolution of Protean behavior strategies: An endless
arms race between prediction and evasion. Unpublished manuscript,
Psychology
Dept., Stanford University.
Paredis, J. (1991). The evolution of behavior: Some experiments. In Meyer
and Wilson (Animals to Animats).
Wood, D. (1991). A von Neumann approach to a genotype expression in a neural
animat. In Meyer and Wilson (Animals to Animats).
COMPUTATIONAL APPROACHES TO GENERATING ADAPTIVE BEHAVIOR
Agre, P.E., & Chapman, D. (1987). Pengi: An implementation of a theory of
activity. In Proceedings of AAAI-87, pp. 268-272.
Booker, L.B. (1988). Classifier systems that learn internal world models.
Machine Learning 3: 161-192.
Grossberg, S. (1988). Neural networks and natural intelligence. MIT
Press/Bradford Books.
Holland, J., K.J. Holyoak, R.E. Nisbett, & P.R. Thagard. (1986). Induction:
Processes on inference, learning, and discovery. MIT Press.
Minsky, M.C. (1986). The society of mind. Simon and Schuster.
Rumelhart, D.E., & McClelland, J.L. (1986). Parallel distributed processing.
MIT Press/Bradford Books.
Sutton, R.S. (1990). Integrated architectures for learning, planning, and
reacting based on approximating dynamic programming. In Machine Learning:
Proceedings of the Seventh International Conference. Morgan Kaufmann.
Wilson, S.W. (1987). Classifier systems and the animat problem. Machine
Learning 3(2): 199-228.
THEORETICAL ISSUES
Clark, C.W. (1991). Modelling behavioral adaptations. Behavioral and Brain
Sciences 14(1): 85-117. (See also commentary by Miller and Todd.)
Cliff, D.T. (1990). Computational neuroethology: A provisional manifesto. In
Meyer and Wilson (Animals to Animats).
Graubard (Ed.). (1988). The artificial intelligence debate: False starts,
real foundations. MIT Press.
Harnad, S. (1990). The symbol grounding problem. Physica D 42: 335-346.
Hookway, C. (Ed.). (1984). Minds, machines, and evolution. Cambridge U.
Press.
Lloyd, D. (1989). Simple Minds. MIT Press/Bradford Books.
Mangel, N., & Clark, C.W. (1988). Dynamic modeling in behavioral ecology.
Princeton U. Press.
* Miller, G. F., & Todd, P. M. (1990). Exploring adaptive agency I: Theory
and
methods for simulating the evolution of learning. In Touretzky, D.S. et
al. (Eds.), Proceedings of the 1990 Connectionist Models Summer School.
Morgan Kaufmann.
Schull, J. (1990). Are species intelligent? Behavioral and Brain Sciences
13: 63-108.
SOME RELEVANT JOURNALS
Biology/Ethology: Animal Behavior, Behavior, Evolution, Journal of
Mathematical Biology, Journal of Theoretical Biology, Nature.
Psychology: Behavioral and Brain Sciences, Cognition and Emotion,
Cognitive Science, Ethology and Sociobiology, Evolution and Cognition,
Human Nature, Journal of Comparative Psychology, Psychological Review.
Modeling etc.: Adaptive Behavior (forthcoming), Artificial Life (forthcoming),
Complex Systems, Physica D, Neural Computation, Connection Science,
Neural Networks.
E-Mail Fredric L. Rice / The Skeptic Tank