Some thoughts on using Computational Intelligence methods in classical mind board games

No abstract is available for this paper.

• Publication year

  2008

• Venue

  IEEE World Congress on Computational Intelligence

• Publication date

  2008-06-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/IJCNN.2008.4634373
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Computational Intelligence in Mind Games

  2007cited by this paper
• Example-based Estimation of Hand's Strength in the Game of Bridge with or without Using Explicit Human Knowledge

  2007cited by this paper
• Checkers Is Solved

  2007cited by this paper
• Temporal Difference Learning Versus Co-Evolution for Acquiring Othello Position Evaluation

  2006cited by this paper
• The Blondie25 Chess Program Competes Against Fritz 8.0 and a Human Chess Master

  2006cited by this paper
• Neural Networks and the Estimation of Hands' Strength in Contract Bridge

  2006cited by this paper
• Towards the unification of intuitive and formal game concepts with applications to computer chess

  2005cited by this paper
• Temporal Difference Approach to Playing Give-Away Checkers

  2004cited by this paper
• BEHIND DEEP BLUE

  2003cited by this paper
• World-championship-caliber Scrabble

  2002cited by this paper
• Improving heuristic mini-max search by supervised learning

  2002cited by this paper
• MACHINES THAT LEARN TO PLAY GAMES

  2002cited by this paper
• Computer Go

  2002cited by this paper
• Deep Blue

  2002cited by this paper
• Games, computers, and artificial intelligence

  2002cited by this paper
• Computer Go: An AI oriented survey

  2001cited by this paper
• Feature construction for game playing

  2001cited by this paper
• Temporal Difference Learning Applied to a High-Performance Game-Playing Program

  2001cited by this paper
• Learning to Play Chess Using Temporal Differences

  2000cited by this paper
• Toward Opening Book Learning

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

  1999cited by this paper
• Experiments in Parameter Learning Using Temporal Differences

  1998cited by this paper
• From Simple Features to Sophisticated Evaluation Functions

  1998cited by this paper
• KnightCap : A chess program that learns by combining TD ( � ) with game-tree search

  1998cited by this paper
• The Othello Match of the Year: Takeshi Murakami vs. Logistello

  1997cited by this paper
• One Jump Ahead: Challenging Human Supremacy in Checkers

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

  1996cited by this paper
• Computer go as a sum of local games: an application of combinatorial game theory

  1995cited by this paper
• Discovering Complex Othello Strategies through Evolutionary Neural Networks

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

  1995cited by this paper
• Temporal Difference Learning and TD-Gammon

  1995cited by this paper
• ProbCut: An Effective Selective Extension of the alphabeta Algorithm

  1995cited by this paper
• Learning to Play the Game of Chess

  1994cited by this paper
• TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play

  1994cited by this paper
• Automatic Feature Generation for Problem Solving Systems

  1992cited by this paper
• A World Championship Caliber Checkers Program

  1992cited by this paper
• Practical issues in temporal difference learning

  1992influential reference
• Adaptive Pattern-Oriented Chess

  1991cited by this paper
• Neurogammon Wins Computer Olympiad

  1989influential reference
• Learning to predict by the methods of temporal differences

  1988cited by this paper
• Making Management Decisions: the Role of Intuition and Emotion

  1987cited by this paper
• Thought and Choice in Chess

  1978cited by this paper
• Faster than Thought. A Symposium on Digital Computing Machines

  1972cited by this paper
• Chess-Playing Programs and the Problem of Complexity

  1958cited by this paper
• Programming a computer for playing chess

  1950cited by this paper

• Artificial Neural Network Architectures for Solving the Contract Bridge

  2020cites this paper
• Artificial Neural Network Architectures for solving Double Dummy Bridge Problem in Imperfect Information Game

  2016cites this paper
• Point Count Systems in Imperfect Information Game

  2016cites this paper
• FEED -FORWARD NEURAL NETWORK ARCHITECTURE FOR SOLVING DOUBLE DUMMY BRIDGE PROBLEM IN CONTRACT BRIDGE

  2015cites this paper
• Artificial Neural Network Architectures : Work Point Count System Coupled with BackPropagation and Resilient BackPropagation Algorithm for Solving Double Dummy Bridge Problem in Contract Bridge

  2015cites this paper
• Learning and recognition by a dynamical system with a plastic velocity field

  2015cites this paper
• A work point count system coupled with back-propagation for solving double dummy bridge problem

  2015cites this paper
• ARTIFICIAL NEURAL NETWORK ARCHITECTURE FOR SOLVING THE DOUBLE DUMMY BRIDGE PROBLEM IN CONTRACT BRIDGE

  2014cites this paper
• A Solution to the Double Dummy Contract Bridge Problem Influenced by Supervised Learning Module Adapted by Artificial Neural Network

  2014cites this paper
• FAST SUPERVISED LEARNING ARCHITECTURE - A WORK POINT COUNT SYSTEM COUPLED WITH RESILIENT BACK - PROPAGATION ALGORITHM FOR SOLVING DOUBLE DUMMY BRIDGE PROBLEM

  2014cites this paper
• Back-Propagation Neural Network Architecture for Solving the Double Dummy Bridge Problem in Contract Bridge

  2014cites this paper
• Multi-game playing — A challenge for computational intelligence

  2013cites this paper
• Human-Like Intuitive Playing in Board Games

  2012cites this paper
• Licensed under Creative Commons Attribution Cc by Supervised Elman Neural Network Architecture for Solving Double Dummy Bridge Problem in Contract Bridge

  year unknowncites this paper