Co-evolutional learning, human / AI behavior

What makes a good co-evolutionary learning environment? (1997)

Coevolution of a Backgammon player (1997)

Co-evolutionary learning: machines and humans schooling together (1998)

Co-evolution in the successful learning of Backgammon strategy (1998)

Co-evolutionary learning - lessons for human education? (1999)

Co-evolution, determinism and robustness (1999)

Training intelligent agents using human Internet data (1999)

Effects of damage to the CDM Stroop model (comparing network damage to neurodegeneration in humans) (2000)

Training intelligent agents using human data collected on the Internet (2001)

Getting the job done in a hostile environment (animals behavior in hostile environment to train agents) (2001)

An improved minibrain that learns through both positive and negative feedback (2006)

Evolving Plastic Neural Networks for Online Learning: Review and Future Directions (2012)

Constructivist simulations for path search algorithms (2017)

Dynamic language comprehension

Quasi-orthogonal maps for dynamic language recognition (1997)

Analysis of dynamical recognizers (1997)

Loanword formation: a neural network approach (1998)

Inductive bias in context-free language learning (1998)

A paradox of neural encoders and decoders or Why don't we talk backwards? (1999)

Learning to predict a context-free language: Analysis of dynamics in recurrent hidden units (1999)

Hill climbing in recurrent neural networks for learning the AnBnCn language (1999)

Evolving learnable languages (2000)

Representation Beyond Finite States: Alternatives to Push-Down Automata (2001)

Learning to predict the phonological structure of English loanwords in Japanese (2003)

Learning the dynamics of embedded clauses (2003)

Incremental training of first order recurrent neural networks to predict a context-sensitive language (2003)

A structure preserving crossover in Grammatical Evolution (2005)

A self-selecting crossover operator (2006)

Dynamically Defined Functions in Grammatical Evolution 2006

Automated Generation of Environments to Test the General Learning Capabilities of AI Agents (2014)

Humanizing AI, biologically inspired

Creating Characters for Dynamic Stories in Interactive Games (2001)

An improved minibrain that learns through both positive and negative feedback (2006)

Complexity-based speciation and genotype representation for neuroevolution, (2016)

Co-Evolving line drawings with hierarchical evolution (2017)

Complex image and landscape analysis, evolutional art

Distinctive feature analysis of natural landmarks as a front end for SLAM applications (2004)

Texture and distinctness analysis for natural feature extraction (2005)

Distinctness analysis on natural landmark descriptors (2006)

Training of Recurrent Internal Symmetry Networks by Backpropagation (2009)

An Abstract Deep Network for Image Classification (2012)

 Incremental Evolution of HERCL Programs for Robust Control (tested on benchmark classification tasks)  (2014)

Transgenic Evolution for Classification Tasks with HERCL (2015)

Co-Evolving line drawings with hierarchical evolution (2017)

Adversarial image generation using evolution and deep learning (2018)

Problem solving - games and conundrums

Coevolution of a Backgammon player (1997)

Why did TD-Gammon work? (1997)

The evolution of subtle manoeuvres in simulated hockey (1998)

Co-evolution in the successful learning of Backgammon strategy

Exploring evolutionary learning in a simulated hockey environment (1999)

Exploitation and peacekeeping: introducing more sophisticated interactions to the Iterated Prisoner's Dilemma (2001)

Effective use of transposition tables in stochastic game tree search (2007)

Learning position evaluation for Go with internal symmetry networks (2008)

Bootstrapping from game tree search (learning from search) (2009)

Learning a multi-player Chess game with TreeStrap (2016)

Problem solving - robotics

Motion control for fast mobile robots: a trajectory-based approach (2000)

Towards an efficient optimal trajectory planner for multiple mobile robots (2003)

 Deriving Sensor Models and Non-Linear Filtering for Exponentials of Polynomials (2007)

Decentralised data fusion with exponentials of polynomials (2007)

Computational Intelligence, learning and problem solving  -  approaches

Decentralised data fusion with exponentials of polynomials [2007]

Training of Recurrent Internal Symmetry Networks by Backpropagation [2009]

Bootstrapping from game tree search [2009]

Learning the Caesar and Vigenere Cipher by Hierarchical Evolutionary Re-Combination [2013]

Incremental Evolution of HERCL Programs for Robust Control (tested on benchmark classification tasks)  [2014]

Coarse and Fine Learning in Deep Networks [2014]

Transgenic Evolution for Classification Tasks with HERCL [2015]

Parallel Hierarchical Evolution of String Library Functions [2016]

Complexity-based speciation and genotype representation for neuroevolution [2016]

Other

Target signal selection for a neural network based financial classifier (1999)