This paper addresses how neural networks learn to play one-shot normal form games through experience in an environment of randomly generated game payoffs and randomly selected opponents. This agent based computational approach allows the modeling of learning all strategic types of normal form...

This paper addresses the question of whether neural networks (NNs), a realistic cognitive model of human information processing, can learn to backward induce in a two-stage game with a unique subgame-perfect Nash equilibrium. The NNs were found to predict the Nash equilibrium approximately 70%...

Section 1. Introduction -- 1. Computational intelligence applications in business : a cross-section of the field / Kevin E. Voges, Nigel K. Ll. Pope -- 2. Making decisions with data : using computational intelligence within a business environment / Kevin Swingler, David Cairns -- 3....

Overview of movement analysis and gait features / Russell Best and Rezaul Begg -- Inertial sensing in biomechanics : a survey of computational techniques bridging motion analysis and personal navigation / Angelo M. Sabatini -- Monitoring human movement with body-fixed sensors and its clinical...

This book provides analytical theories offered by new and innovative artificial intelligence computing methods in the archaeological domain using archaeological examples to illustrate a complex but very useful data analysis technique.

Neural networks design, control and robotics application -- Hybrid evolutionary systems for modelling, control and robotics applications -- Fuzzy logic and bayesian systems -- Machine learning, evolutionary optimisation and information retrieval -- About the authors -- Index

"As both intelligence and software science revolutionizes the modern world, the contributions that each make to the other combine into a new transdisciplinary field. Breakthroughs in Software Science and Computational Intelligence charts the new ground broken by researchers exploring these two...

"This book introduces various computational intelligence techniques that are applied to remanufacturing-related issues, results, and lessons from specific applications while highlighting future development and research"--Provided by publisher.

"This book introduces effective parameters for improving the performance and application of machine learning and pattern recognition techniques to facilitate medical processes for those interested in the relationship between artificial intelligence and medical science through the use of...