The expansive research field of computational intelligence combines various nature-inspired computational methodologies and draws on rigorous quantitative approaches across computer science, mathematics, physics, and life sciences. Some of its research topics, such as artificial neural networks, fuzzy logic, evolutionary computation, and swarm intelligence, are traditional to computational inte...

This paper describes links between computational intelligence (CI), data mining and knowledge discovery. The generating elements of soft computing based data mining algorithms are defined where the extracted knowledge is represented by fuzzy rule-based expert systems. It is recognized that both model performance and interpretability are of major importance, and effort has to make to keep the re...

We describe a decision support system for hypothesis assessment in which exploration is supported by computational creativity. A software tool for morphological hypothesis analysis and evidence handling is extended with a creative assistant that on demand suggests hypotheses that the analyst should consider. Suggested hypotheses are chosen so that they are far from hypotheses that the analyst p...

In this paper a multi agent platform targeted towards the area of computational intelligence modeling is presented. We show the design of various computational agents and multi agent systems, as well as the infrastructure capabilities. The focus of the system is the interchangeability of computational components, their autonomous behavior, and emergence of new models. It is demonstrated that su...

Rationality is a fundamental concept in economics. Most researchers will accept that human beings are not fully rational. Herbert Simon suggested that we are “bounded rational”. However, it is very difficult to quantify “bounded rationality”, and therefore it is difficult to pinpoint its impact to all those economic theories that depend on the assumption of full rationality. Ariel Rubinstein pr...

A smart electric power grid increases the connectivity, automation and coordination between generating plants, the networks and consumers by intelligent use of information. This paper focuses on the generation, transmission and distribution parts of the grid. These networks are nonlinear non-stationary stochastic systems and have expanded to become too complicated for humans to operate safely d...

PREFACE Several computational analytic tools have matured in the last 10 to 15 years that facilitate solving problems that were previously difficult or impossible to solve. These new analytical tools, known collectively as computational intelligence tools, include artificial neural networks, fuzzy systems, and evolutionary computation. They have recently been combined among themselves as well a...

This chapter surveys the research of us and others into applying evolutionary algorithms and other forms of computational intelligence to various aspects of racing games. We first discuss the various roles of computational intelligence in games, and then go on to describe the evolution of different types of car controllers, modelling of players’ driving styles, evolution of racing tracks, compa...