An Investigation of an Adaptive Poker Player
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Intelligent systems: architectures and perspectives
Recent advances in intelligent paradigms and applications
Evolving intelligent game-playing agents
SAICSIT '03 Proceedings of the 2003 annual research conference of the South African institute of computer scientists and information technologists on Enablement through technology
Cooperative Multi-Agent Learning: The State of the Art
Autonomous Agents and Multi-Agent Systems
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Levelling the playing field: games handicapping
MIV'06 Proceedings of the 6th WSEAS International Conference on Multimedia, Internet & Video Technologies
Prediction of R5, X4, and R5X4 HIV-1 Coreceptor Usage with Evolved Neural Networks
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Developing neural structure of two agents that play checkers using cartesian genetic programming
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Using coevolution to understand and validate game balance in continuous games
Proceedings of the 10th annual conference on Genetic and evolutionary computation
TOWARDS OPTIMIZING ENTERTAINMENT IN COMPUTER GAMES
Applied Artificial Intelligence
Towards human competitive driving of scale model of a car
ACM SIGEVOlution
Evolving strategy for a probabilistic game of imperfect information using genetic programming
Genetic Programming and Evolvable Machines
Evolutionary Approach to the Game of Checkers
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Evolution of General Driving Rules of a Driving Agent
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
Evolving team behaviours in environments of varying difficulty
Artificial Intelligence Review
Evolution of cartesian genetic programs capable of learning
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Coevolving intelligent game players in a cultural framework
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Spatial processing layer effects on the evolution of neural networks to play the game of Othello
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Coevolutionary temporal difference learning for Othello
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Introducing a round robin tournament into Blondie24
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Bernoulli's principle of insufficient reason and conservation of information in computer search
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Ensemble evolution of checkers players with knowledge of opening, middle and endgame
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Coevolving influence maps for spatial team tactics in a RTS game
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Indirect encoding of neural networks for scalable go
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
Learning n-tuple networks for othello by coevolutionary gradient search
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Evolving neural networks for geometric game-tree pruning
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Evolving small-board Go players using coevolutionary temporal difference learning with archives
International Journal of Applied Mathematics and Computer Science
Teaching an undergraduate AI course with games and simulation
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
Immune based fuzzy agent plays checkers game
Applied Soft Computing
Multiagent learning through neuroevolution
WCCI'12 Proceedings of the 2012 World Congress conference on Advances in Computational Intelligence
A multimodal problem for competitive coevolution
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Improving coevolution by random sampling
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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Meet Blondie, a twenty-four-year-old graduate student in mathematics at the University of California at San Diego. She skis and surfs and is an ace at math, but her real claim to fame is her ability to play checkers. She's not good enough to defeat a grand master (yet), but she did earn a spot in the top 500 of an international checkers tournament. Not bad when you consider that Blondie taught herself how to play without reading books, taking classes, or getting tips from experienced players. Even better when you realize that Blondie is a computer program and the rest of her persona is a product of the author's imagination. Blondie24 tells the story of a computer that taught itself to play checkers far better than its creators ever could by emulating the principles of Darwinian evolution and discovering innovative ways to approach the game. In this year of 2001, as we remember Arthur C. Clarke's predictions, David Fogel dramatically demonstrates how evolutionary computation may enable humans to create a thinking machine far more readily than the techniques traditionally used in the study of artificial intelligence.