Evolving an expert checkers playing program without using human expertise

No abstract is available for this paper.

• Publication year

  2001

• Venue

  IEEE Transactions on Evolutionary Computation

• Publication date

  2001-08-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/4235.942536
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Verifying Anaconda's expert rating by competing against Chinook: experiments in co-evolving a neural checkers player

  2002cited by this paper
• Evolution, neural networks, games, and intelligence

  1999cited by this paper
• Co-evolving checkers-playing programs using only win, lose, or draw

  1999cited by this paper
• Evolving neural networks to play checkers without relying on expert knowledge

  1999cited by this paper
• One Jump Ahead: Challenging Human Supremacy in Checkers

  1997cited by this paper
• CHINOOK: The World Man-Machine Checkers Champion

  1996influential reference
• Discovering Complex Othello Strategies through Evolutionary Neural Networks

  1995cited by this paper
• Some Studies in Machine Learning Using the Game of Checkers

  1995influential reference
• Steps toward Artificial Intelligence

  1995cited by this paper
• Random Evaluations in Chess

  1994cited by this paper
• Using evolutionary programing to create neural networks that are capable of playing tic-tac-toe

  1993cited by this paper
• Tree Searching Algorithms

  1990cited by this paper

• Evolving Neural Controllers for Xpilot-AI Racing Using Neuroevolution of Augmenting Topologies

  2025cites this paper
• Injury Prediction in Sports using Artificial Intelligence Applications: A Brief Review

  2023influential citation
• Transfer Dynamics in Emergent Evolutionary Curricula

  2022cites this paper
• A coevolutionary approach to deep multi-agent reinforcement learning

  2021cites this paper
• Inference of Other’s Minds with Limited Information in Evolutionary Robotics

  2020cites this paper
• Single Image Super-resolution via Dense Blended Attention Generative Adversarial Network for Clinical Diagnosis

  2019cites this paper
• Medical image super-resolution method based on dense blended attention network

  2019cites this paper
• Single-step Options for Adversary Driving

  2019cites this paper
• Noise trading and market stability

  2019cites this paper
• Reinforcing Classical Planning for Adversary Driving Scenarios

  2019cites this paper
• Application and Improvement of UCT in Computer Checkers

  2018cites this paper
• On Computerizing the Ancient Game of Ṭāb

  2018cites this paper
• Artificial calf weaning strategies and the role of machine learning: A review

  2017cites this paper
• Research and implementation of static evaluation algorithm for checkers

  2017cites this paper
• Investigations on Improvised Neural Network Chess Engine for Augmenting Topologies

  2017cites this paper
• Conservation of Information in Coevolutionary Searches

  2017cites this paper
• A multiagent player system composed by expert agents in specific game stages operating in high performance environment

  2017cites this paper
• Adaptive Test Selection for Factorization-based Surrogate Fitness in Genetic Programming

  2017cites this paper
• Simulation-Based Complex Adaptive Systems

  2017cites this paper
• EvoCommander: A Novel Game Based on Evolving and Switching Between Artificial Brains

  2017cites this paper
• A Neural Network Model for Intrusion Detection Using a Game Theoretic Approach

  2017cites this paper
• Guide to Simulation-Based Disciplines

  2017cites this paper
• The Nature of Nature: Why Nature-Inspired Algorithms Work

  2017cites this paper
• APHID-Draughts: Comparing the Synchronous and Asynchronous Parallelism Approaches for the Alpha-Beta Algorithm Applied to Checkers

  2017cites this paper
• Construction and deconstruction of checkers game using ICE agent model

  2016cites this paper
• Learning a multi-player chess game with TreeStrap

  2016cites this paper
• Online Discovery of Search Objectives for Test-Based Problems

  2016cites this paper
• Orthogonally Evolved AI to Improve Difficulty Adjustment in Video Games

  2016cites this paper
• Parametric and structural self-adaptation of embedded systems using evolvable hardware

  2016cites this paper
• Evolving Multi-Layer Neural Networks for Othello

  2016cites this paper
• Contribution based multi-island competitive cooperative coevolution

  2016cites this paper
• Emerging collective intelligence in Othello players evolved by differential evolution

  2015cites this paper
• Learning game players by an evolutionary approach using pairwise comparison without prior knowledge

  2015cites this paper
• Evolving Heuristic Based Game Playing Strategies for Checkers Incorporating Reinforcement Learning

  2015cites this paper
• Mall för examensarbete

  2014cites this paper
• Neuroevolution in Games: State of the Art and Open Challenges

  2014influential citation
• SAMEVOLUTION AV ARTIFICIELLT NEURALT NÄTVERK FÖR ATT EVALUERA SPELTILLSTÅND

  2014cites this paper
• Learning robust build-orders from previous opponents with coevolution

  2014cites this paper
• Evolutionary Search in the Space of Rules for Creation of New Two-Player Board Games

  2014cites this paper
• EvoMCTS: A Scalable Approach for General Game Learning

  2014cites this paper
• Study of Game Strategy Emergence by using Neural Networks

  2014cites this paper
• In search of intelligence: evolving a developmental neuron capable of learning

  2014influential citation
• Genetic Algorithms for Evolving Computer Chess Programs

  2014cites this paper
• Embodied artificial life at an impasse can evolutionary robotics methods be scaled?

  2014cites this paper
• Finding robust strategies to defeat specific opponents using case-injected coevolution

  2013cites this paper
• Robustness of coevolved strategies in a real-time strategy game

  2013cites this paper
• Comparing coevolution, genetic algorithms, and hill-climbers for finding real-time strategy game plans

  2013cites this paper
• Adaptive Intelligence for Automated Game Learning

  2013cites this paper
• Use of Evolutionary Algorithms to Play the Game of Checkers: Historical Developments, Challenges and Future Prospects

  2013cites this paper
• EvoGeneSys, a new evolutionary approach to graph generation

  2013cites this paper
• Using Evolutionary Computing to Develop Game Strategy for a Non-Deterministic Game

  2013cites this paper
• A Machine Learning Approach to Diagnosis of Parkinson’s Disease

  2013cites this paper
• Evolving both search and strategy for Reversi players using genetic programming

  2012cites this paper
• Introducing Individual and Social Learning Into Evolutionary Checkers

  2012cites this paper
• Moshe Sipper: Evolved to Win

  2012cites this paper
• Contingent Eclecticism: Contingent Eclecticism

  2012cites this paper
• Neural-Fitted TD-Leaf Learning for Playing Othello With Structured Neural Networks

  2012cites this paper
• Effect of Look-Ahead Depth in Evolutionary Checkers

  2012cites this paper
• 52 Selected Aspects of Natural

  2012cites this paper
• Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate the Future

  2012cites this paper
• An evolutionary tic-tac-toe player

  2012influential citation
• Functional Buildup in Board Game Positional Composition through Evolutionary Genetic Mechanism

  2012cites this paper
• Evolving Aggregation Behaviors in Multi-Robot Systems with Binary Sensors

  2012cites this paper
• Nature That Breeds Solutions

  2012cites this paper
• Selected Aspects of Natural Computing

  2012cites this paper
• Evolutionary Computation for Reinforcement Learning

  2012cites this paper
• D-VisionDraughts: uma rede neural jogadora de damas que aprende por reforço em um ambiente de computação distribuída

  2011cites this paper
• Let the Games Evolve

  2011cites this paper
• Algorithms for Test-Based Problems

  2011cites this paper
• Decision Tree-Based Algorithms for Implementing Bot AI in UT 2004

  2011cites this paper
• Analysis of rule based look-ahead strategy using Pacman testbed

  2011cites this paper
• Playing Tic-Tac-Toe Using Genetic Neural Network with Double Transfer Functions

  2011cites this paper
• Where is the brain inside the brain?

  2011cites this paper
• Evolutionary Algorithms towards Generating Entertaining Games

  2011cites this paper
• Decision Tree-Based Algorithms for Implementing Bot AI in UT2004

  2011cites this paper
• Introducing a Round Robin Tournament into Evolutionary Individual and Social Learning Checkers

  2011influential citation
• An overview of neuroevolution techniques

  2011cites this paper
• Visualizing Multidimensional Data through Multilayer Perceptron Maps

  2011cites this paper
• The importance of look-ahead depth in evolutionary checkers

  2011cites this paper
• Cross-Validation of Fitness Scores During Co-evolution Using the ’ Trap-the-Cap ’ Board Game as a Testbed

  2011cites this paper
• Coherent versus Non-coherent and Cooperative Turbo Transceivers

  2010cites this paper
• Computational Intelligence in Optimization

  2010cites this paper
• Evolving Lose-Checkers players using genetic programming

  2010cites this paper
• Evolving Neural Networks for Visual Processing

  2010cites this paper
• SELF-MOTIVATED AND TASK-ORIENTED , MULTI-DIMENSIONAL LEARNING IN A DYNAMIC AND UNCERTAIN ENVIRONMENT WITHOUT HUMAN INTERVENTION

  2010influential citation
• Learning to learn: An Automated and Continuous Approach to Learning in Imperfect Environments

  2010cites this paper
• Training a Pac-Man Player with Minimum Domain Knowledge and Basic Rationality

  2010cites this paper
• Application of Coarse-Coding Techniques for Evolvable Multirobot Controllers

  2010cites this paper
• History mechanism supported differential evolution for chess evaluation function tuning

  2010cites this paper
• Computational Intelligence for Information Technology Project Management

  2010cites this paper
• The Computational Intelligence of MoGo Revealed in Taiwan ’ s Computer Go Tournaments

  2010cites this paper
• Using Resource-Limited Nash Memory to Improve an Othello Evaluation Function

  2010cites this paper
• Swarm Tetris: Applying particle swarm optimization to tetris

  2010cites this paper
• Autonomous Evolution of Topographic Regularities in Artificial Neural Networks

  2010influential citation
• Off-line learning of soccer formations from game logs

  2010cites this paper
• The importance of a piece difference feature to Blondie24

  2010influential citation
• Learning From Geometry In Learning For Tactical And Strategic Decision Domains

  2010cites this paper
• Learning Games using a Single Developmental Neuron

  2010cites this paper
• Evolutionary swarm neural network game engine for Capture Go

  2010cites this paper
• Measuring entertainment and automatic generation of entertaining games

  2010influential citation