Life-like agents: internalizing local cues for reinforcement learning and evolution
暂无分享,去创建一个
[1] Nathan H. Schumaker,et al. Using Landscape Indices to Predict Habitat Connectivity , 1996 .
[2] William B. Frakes,et al. Stemming Algorithms , 1992, Information Retrieval: Data Structures & Algorithms.
[3] Oren Etzioni,et al. Dynamic Reference Sifting: A Case Study in the Homepage Domain , 1997, Comput. Networks.
[4] Amy M. Steier. Statistical semantics of phrases in hierarchical contexts , 1994 .
[5] William E. Hart,et al. Optimization with genetic algorithm hybrids that use local searches , 1996 .
[6] Daniela Rus,et al. Digital Digital Transportable Information Agents Transportable Information Agents , 1996 .
[7] Maja J. Matarić,et al. Designing emergent behaviors: from local interactions to collective intelligence , 1993 .
[8] Walter Fontana,et al. Evolution of a metabolism , 1992 .
[9] John Michael Neal McInerney,et al. Biologically influenced algorithms and parallelism in non-linear optimization , 1992 .
[10] H. Levesque,et al. Generating Hard Satis ability Problems ? , 1995 .
[11] Frédéric Gruau,et al. The cellular development of neural networks: the interaction of learning and evolution , 1993 .
[12] Huberman,et al. Strong regularities in world wide web surfing , 1998, Science.
[13] J. Roughgarden. Density‐Dependent Natural Selection , 1971 .
[14] Otto E. Rössler,et al. Design for Autonomous Chemical Growth under Different Environmental Constraints , 1972 .
[15] Michael L. Littman,et al. Simulations combining evolution and learning , 1996 .
[16] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[17] Holly A. Yanco,et al. Environmental Effects on Minimal Behaviors in the Minimat World , 1996, Adapt. Behav..
[18] David S. Johnson,et al. Local Optimization and the Traveling Salesman Problem , 1990, ICALP.
[19] Richard K. Belew,et al. Exporting phrases: a statistical analysis of topical language , 1991 .
[20] G. Parker,et al. Competition for resources , 1991 .
[21] Marko Balabanovic,et al. An adaptive Web page recommendation service , 1997, AGENTS '97.
[22] C. Krebs. Ecology: The Experimental Analysis of Distribution and Abundance , 1973 .
[23] Ian Horswill,et al. Analysis of Adaptation and Environment , 1995, Artif. Intell..
[24] J. Baldwin. A New Factor in Evolution , 1896, The American Naturalist.
[25] Filippo Menczer,et al. An Endogenous Fitness Paradigm for Adaptive Information Agents , 1994 .
[26] Donna K. Harman,et al. Relevance Feedback and Other Query Modification Techniques , 1992, Information retrieval (Boston).
[27] Richard K. Belew,et al. Evolving networks: using the genetic algorithm with connectionist learning , 1990 .
[28] K. Laland,et al. ON THE EVOLUTIONARY CONSEQUENCES OF SEXUAL IMPRINTING , 1994, Evolution; international journal of organic evolution.
[29] Filippo Menczer,et al. Latent Energy Environments: A tool for artificial life simulations , 1993 .
[30] William Noble Grundy,et al. Modeling the Evolution of Motivation , 1996, Evolutionary Computation.
[31] Terry Jones,et al. Fitness Distance Correlation as a Measure of Problem Difficulty for Genetic Algorithms , 1995, ICGA.
[32] T. Joachims. WebWatcher : A Tour Guide for the World Wide Web , 1997 .
[33] Stewart W. Wilson. The animat path to AI , 1991 .
[34] O. Miglino,et al. Evolutionary stable and unstable strategies in neural networks , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.
[35] Kalyanmoy Deb,et al. A Comparative Analysis of Selection Schemes Used in Genetic Algorithms , 1990, FOGA.
[36] Filippo Menczer,et al. ARACHNID: Adaptive Retrieval Agents Choosing Heuristic Neighborhoods for Information Discovery , 1997, ICML 1997.
[37] Kenneth A. De Jong,et al. On Decentralizing Selection Algorithms , 1995, ICGA.
[38] Kenneth A. De Jong,et al. Generation Gaps Revisited , 1992, FOGA.
[39] I. G. BONNER CLAPPISON. Editor , 1960, The Electric Power Engineering Handbook - Five Volume Set.
[40] Filippo Menczer,et al. Adaptive information agents in distributed textual environments , 1998, AGENTS '98.
[41] Chanathip Namprempre,et al. HyPursuit: a hierarchical network search engine that exploits content-link hypertext clustering , 1996, HYPERTEXT '96.
[42] Karen Spärck Jones. Experiments in relevance weighting of search terms , 1979, Inf. Process. Manag..
[43] Ellen Spertus,et al. ParaSite: Mining Structural Information on the Web , 1997, Comput. Networks.
[44] William G. Macready,et al. Tailoring Mutation to Landscape Properties , 1998, Evolutionary Programming.
[45] B A Huberman,et al. Evolutionary games and computer simulations. , 1993, Proceedings of the National Academy of Sciences of the United States of America.
[46] P. Husbands,et al. Analysis of Evolved Sensory-motor Controllers Analysis of Evolved Sensory-motor Controllers , 1992 .
[47] Hugh M. Cartwright,et al. Looking Around: Using Clues from the Data Space to Guide Genetic Algorithm Searches , 1991, ICGA.
[48] J. Holland. Echoing emergence: objectives, rough definitions, and speculations for ECHO-class models , 1999 .
[49] O. Rössler,et al. Adequate Locomotion Strategies for an Abstract Organism in an Abstract Environment — A Relational Approach to Brain Function , 1974 .
[50] Randall D. Beer,et al. A Dynamical Systems Perspective on Agent-Environment Interaction , 1995, Artif. Intell..
[51] Filippo Menczer,et al. Artificial Life Applied to Adaptive Information Agents , 1995 .
[52] David D. Lewis,et al. Challenges in machine learning for text classification , 1996, COLT '96.
[53] Jiming Liu,et al. Reactive agents for adaptive image analysis , 1998, AGENTS '98.
[54] David H. Ackley,et al. Interactions between learning and evolution , 1991 .
[55] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[56] Peter M. Todd,et al. On the Sympatric Origin of Species: Mercurial Mating in the Quicksilver Model , 1991, ICGA.
[57] P. Anandan,et al. Pattern-recognizing stochastic learning automata , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[58] Reinier Post,et al. Information Retrieval in the World-Wide Web: Making Client-Based Searching Feasible , 1994, Comput. Networks ISDN Syst..
[59] Peter Kareiva,et al. Special Feature: Space: The Final Frontier for Ecological Theory , 1994 .
[60] Geoffrey E. Hinton,et al. How Learning Can Guide Evolution , 1996, Complex Syst..
[61] Filippo Menczer,et al. Local Selection , 1998, Evolutionary Programming.
[62] Stewart W. Wilson,et al. Environment structure and adaptive behavior from the ground up , 1993 .
[63] Garrison W. Cottrell,et al. Predicting the performance of linearly combined IR systems , 1998, SIGIR '98.
[64] W. Hart. Adaptive global optimization with local search , 1994 .
[65] Leslie Pack Kaelbling,et al. Learning in embedded systems , 1993 .
[66] Andrew W. Moore,et al. Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..
[67] Larry J. Eshelman,et al. Preventing Premature Convergence in Genetic Algorithms by Preventing Incest , 1991, ICGA.
[68] Samir W. Mahfoud. A Comparison of Parallel and Sequential Niching Methods , 1995, ICGA.
[69] S. Wright. Physiological Genetics, Ecology of Populations, and Natural Selection , 2015, Perspectives in biology and medicine.
[70] Aviv Bergman,et al. Adaptive computation in ecology and evolution: a guide for future research , 1996 .
[71] R. Punnett,et al. The Genetical Theory of Natural Selection , 1930, Nature.
[72] M. Gilpin. Group selection in predator-prey communities. , 1975, Monographs in population biology.
[73] Martin Zwick,et al. Effect of Environmental Structure on Evolutionary Adaptation , 1998 .
[74] Jeffrey L. Elman,et al. Learning and Evolution in Neural Networks , 1994, Adapt. Behav..
[75] W. S. Cooper. Expected search length: A single measure of retrieval effectiveness based on the weak ordering action of retrieval systems , 1968 .
[76] Stephen E. Robertson,et al. Relevance weighting of search terms , 1976, J. Am. Soc. Inf. Sci..
[77] R. Levins. Evolution in Changing Environments , 1968 .
[78] Nicholas Gessler. Growing Artificial Societies—Social Science from the Bottom Up. , 1997, Artificial Life.
[79] Chris Watkins,et al. Learning from delayed rewards , 1989 .
[80] David Lewis,et al. Active by Accident: Relevance Feedback in Information Retrieval , 1995 .
[81] D. E. Goldberg,et al. Genetic Algorithms in Search , 1989 .
[82] Stewart W. Wilson,et al. The blind breeding the blind: adaptive behavior without looking , 1994 .
[83] Filippo Menczer,et al. From Complex Environments to Complex Behaviors , 1996, Adapt. Behav..
[84] Inman Harvey,et al. Noise and the Reality Gap: The Use of Simulation in Evolutionary Robotics , 1995, ECAL.
[85] L. Darrell Whitley,et al. Genetic Reinforcement Learning with Multilayer Neural Networks , 1991, ICGA.
[86] Michael J. Pazzani,et al. Syskill & Webert: Identifying Interesting Web Sites , 1996, AAAI/IAAI, Vol. 1.
[87] Peter Dayan,et al. Improving Generalization for Temporal Difference Learning: The Successor Representation , 1993, Neural Computation.
[88] David E. Goldberg,et al. Genetic Algorithms with Sharing for Multimodalfunction Optimization , 1987, ICGA.
[89] Paul Bryant Grosso,et al. Computer Simulations of Genetic Adaptation: Parallel Subcomponent Interaction in a Multilocus Model , 1985 .
[90] Michael McGill,et al. Introduction to Modern Information Retrieval , 1983 .
[91] Katia P. Sycara,et al. WebMate: a personal agent for browsing and searching , 1998, AGENTS '98.
[92] Stanley J. Rosenschein,et al. A dynamical systems perspective on agent-environment interaction , 1996 .
[93] Henry Lieberman,et al. Autonomous interface agents , 1997, CHI.
[94] Martin Zwick,et al. Dependence of Adaptability on Environmental Structure in a Simple Evolutionary Model , 1996, Adapt. Behav..
[95] Richard K. Belew,et al. Using Genetic Algorithms with Local Search for Thin Film Metrology , 1997, ICGA.
[96] R. Belew. Interposing an ontogenic model between Genetic Algorithms and Neural Networks , 1992 .
[97] Hans-Paul Schwefel,et al. Numerical Optimization of Computer Models , 1982 .
[98] C. Lee Giles,et al. CiteSeer: an autonomous Web agent for automatic retrieval and identification of interesting publications , 1998, AGENTS '98.
[99] Melanie Mitchell,et al. Genetic algorithms and artificial life , 1994 .
[100] C.H. Papadimitriou,et al. On selecting a satisfying truth assignment , 1991, [1991] Proceedings 32nd Annual Symposium of Foundations of Computer Science.
[101] Mihalis Yannakakis,et al. Searching a Fixed Graph , 1996, ICALP.
[102] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[103] Piotr Indyk,et al. Enhanced hypertext categorization using hyperlinks , 1998, SIGMOD '98.
[104] C. Waddington. Canalization of Development and the Inheritance of Acquired Characters , 1942, Nature.
[105] Ben Shneiderman,et al. Navigating in hyperspace: designing a structure-based toolbox , 1994, CACM.
[106] Filippo Menczer,et al. A model for the emergence of sex in evolving networks: Adaptive advantage or random drift? In F , 1992 .
[107] Peter B. Danzig,et al. Scalable Internet resource discovery: research problems and approaches , 1994, CACM.
[108] Alberto O. Mendelzon,et al. Applications of a Web Query Language , 1997, Comput. Networks.
[109] David H. Ackley,et al. Adaptation in Constant Utility Non-Stationary Environments , 1991, ICGA.
[110] Pattie Maes,et al. Agents that reduce work and information overload , 1994, CACM.
[111] Filippo Menczer. Changing Latent Energy Environments: A Case for the Evolution of Plasticity , 1994 .
[112] Ray R. Larson,et al. Bibliometrics of the World Wide Web: An Exploratory Analysis of the Intellectual Structure of Cyberspace , 1996 .
[113] J. Haldane,et al. Physiological Genetics , 1938, Nature.
[114] Richard K. Belew,et al. Methods for Competitive Co-Evolution: Finding Opponents Worth Beating , 1995, ICGA.
[115] Luca Maria Gambardella,et al. Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..
[116] R H Macarthur,et al. SOME GENERALIZED THEOREMS OF NATURAL SELECTION. , 1962, Proceedings of the National Academy of Sciences of the United States of America.
[117] William E. Hart,et al. A Comparison of Global and Local Search Methods in Drug Docking , 1997, ICGA.
[118] William E. Hart,et al. The Role of Development in Genetic Algorithms , 1994, FOGA.
[119] Yuval Davidor,et al. A Naturally Occurring Niche and Species Phenomenon: The Model and First Results , 1991, ICGA.
[120] Domenico Parisi,et al. Recombination and unsupervised learning: effects of crossover in the genetic optimization of neural networks , 1992 .
[121] Jean-Louis Deneubourg,et al. From local actions to global tasks: stigmergy and collective robotics , 2000 .
[122] Georges R. Harik,et al. Finding Multimodal Solutions Using Restricted Tournament Selection , 1995, ICGA.
[123] David Lewis,et al. Information Retrieval and the Statistics of Large Data Sets , 1996 .
[124] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[125] Gerard Salton,et al. The "generality" effect and the retrieval evaluation for large collections , 1972, J. Am. Soc. Inf. Sci..
[126] Thorsten Joachims,et al. WebWatcher : A Learning Apprentice for the World Wide Web , 1995 .
[127] Pattie Maes,et al. Designing autonomous agents: Theory and practice from biology to engineering and back , 1990, Robotics Auton. Syst..
[128] Melanie Mitchell,et al. Genetic Algorithms and Artiicial Life , 1993 .
[129] David H. Ackley,et al. Generalization and Scaling in Reinforcement Learning , 1989, NIPS.
[130] Giles,et al. Searching the world wide Web , 1998, Science.
[131] Peter Norvig,et al. A modern, agent-oriented approach to introductory artificial intelligence , 1995, SGAR.
[132] Giorgos Zacharia,et al. Evolving a multi-agent information filtering solution in Amalthaea , 1997, AGENTS '97.
[133] B. Huberman,et al. Surfing as a real option , 1998, ICE '98.
[134] L. Darrell Whitley,et al. Serial and Parallel Genetic Algorithms as Function Optimizers , 1993, ICGA.
[135] K. Dejong,et al. An analysis of the behavior of a class of genetic adaptive systems , 1975 .
[136] Doina Precup,et al. Exponentiated Gradient Methods for Reinforcement Learning , 1997, ICML.
[137] Stefano Nolfi,et al. How to Evolve Autonomous Robots: Different Approaches in Evolutionary Robotics , 1994 .
[138] S. Gould,et al. The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[139] Filippo Menczer,et al. Latent energy environments , 1996 .
[140] Filippo Menczer,et al. EVOLVING SENSORS IN ENVIRONMENTS OF CONTROLLED COMPLEXITY , 1994 .
[141] Jon M. Kleinberg,et al. Automatic Resource Compilation by Analyzing Hyperlink Structure and Associated Text , 1998, Comput. Networks.
[142] Christopher J. Fox,et al. Lexical Analysis and Stoplists , 1992, Information Retrieval: Data Structures & Algorithms.
[143] Gerard Salton,et al. Improving retrieval performance by relevance feedback , 1997, J. Am. Soc. Inf. Sci..
[144] Filippo Menczer,et al. Maturation and the Evolution of Imitative Learning in Artificial Organisms , 1995, Adapt. Behav..
[145] Marcus W. Feldman,et al. A model of individual adaptive behavior in a fluctuating environment , 1996 .
[146] D. Hartl,et al. Principles of population genetics , 1981 .
[147] C. M. Lessells,et al. The Evolution of Life Histories , 1994 .
[148] S. Levin,et al. Mathematical and Computational Challenges in Population Biology and Ecosystems Science , 1997, Science.
[149] Dorothea Heiss-Czedik,et al. An Introduction to Genetic Algorithms. , 1997, Artificial Life.
[150] N. Littlestone,et al. Learning in the presence of finitely or infinitely many irrelevant attributes , 1991, COLT '91.