- Co-Evolution in the Successful Learning of Backgammon Strategy
- Learning to predict a context-free language: Analysis of dynamics in recurrent hidden units
- A Paradox of Neural Encoders and Decoders or Why Don't We Talk Backwards? ?
- Coevolution, Determinism and Robustness Alan D. Blair 1 Elizabeth Sklar 2 Pablo Funes 2
- Exploitation and peacekeeping: introducing more sophisticated interactions to the iterated prisoner's dilemma
- What makes a good co-evolutionary learning environment?
- Representation Beyond Finite States: Alternatives to PushDown Automata
- In S.A. Solla, T.K. Leen and K.-R. Muller (Eds.), Advances in Neural Information Processing Systems 12, 66-72, MIT Press (2000).
- Loanword formation: a neural network approach Alan D. Blair Department of Computer Science
- Coevolution of a Backgammon Player Jordan B. Pollack & Alan D. Blair Mark Land
- The evolution of subtle manoeuvres in simulated hockey Alan D. Blair?
- Learning to predict the phonological structure of English loanwords in Japanese
- Hill Climbing in Recurrent Neural Networks for Learning
- CoEvolution in the Successful Learning of Backgammon Strategy
- EFFECTS OF DAMAGE TO THE CDM STROOP MODEL J. WILES* + , H. CHENERY # , J. HALLINAN * , A. BLAIR A AND D. NAUMANN B
- Workshop on Current Trends and Applications of Artificial Intelligence in Education, ITESM, Mexico, 1998, 98105 Coevolutionary Learning
- Analysis of Dynamical Recognizers Alan D. Blair & Jordan B. Pollack
- Inductive Bias in ContextFree Language Learning Brad Tonkes \Lambda and Alan Blair \Lambda and Janet Wiles \Lambday
- QuasiOrthogonal Maps for Dynamic Language Recognition Alan D. Blair 1 and Jordan B. Pollack 2
- Why did TDGammon Work? Jordan B. Pollack & Alan D. Blair
- Coevolution of a Backgammon Player Jordan B. Pollack & Alan D. Blair Mark Land
- Second Asia-Pacific Conference on Simulated Evolution And Learning, Canberra, 1998 to appear Co-evolution, Determinism and Robustness
- Workshop on Current Trends and Applications of Artificial Intelligence in Education, ITESM, Mexico, 1998, 98-105 Co-evolutionary Learning
- Loanword formation: a neural network approach Alan D. Blair Department of Computer Science
- Learning the dynamics of embedded clauses Mikael Boden
- Analysis of Dynamical Recognizers Alan D. Blair & Jordan B. Pollack
- Towards an Efficient Optimal Trajectory Planner for Multiple Mobile Robots
- Exploring evolutionary learning in a simulated hockey environment
- A Paradox of Neural Encoders and Decoders or Why Don't We Talk Backwards??
- Inductive Bias in Context-Free Language Learning Brad Tonkes and Alan Blair and Janet Wilesy
- Quasi-Orthogonal Maps for Dynamic Language Recognition Alan D. Blair1 and Jordan B. Pollack2
- Why did TD-Gammon Work? Jordan B. Pollack & Alan D. Blair
- Towards an Efficient Optimal Trajectory Planner for Multiple Mobile Robots
- The evolution of subtle manoeuvres in simulated hockey Alan D. Blair ? & Elizabeth Sklar ??
- Modelling Personality for Character Agents in Simulated Fiction
- Co-evolutionary learning: lessons for human education?
- DEPARTMENT OF COMPUTER SCIENCE AND SOFTWARE ENGINEERING,
- Exploring evolutionary learning in a simulated hockey environment
- Australian Journal of Intelligent Information Processing Systems 4, 1997, 166--176 What makes a good
- Coevolutionary learning: lessons for human education?
