A Collection of Definitions of Intelligence

This paper is a survey of a large number of informal definitions of ``intelligence'' that the authors have collected over the years. Naturally, compiling a complete list would be impossible as many definitions of intelligence are buried deep inside articles and books. Nevertheless, the 70-odd definitions presented here are, to the authors' knowledge, the largest and most well referenced collection there is.Comment: 12 LaTeX page

What is Computational Intelligence and where is it going?

What is Computational Intelligence (CI) and what are its relations with Artificial Intelligence (AI)? A brief survey of the scope of CI journals and books with ``computational intelligence'' in their title shows that at present it is an umbrella for three core technologies (neural, fuzzy and evolutionary), their applications, and selected fashionable pattern recognition methods. At present CI has no comprehensive foundations and is more a bag of tricks than a solid branch of science. The change of focus from methods to challenging problems is advocated, with CI defined as a part of computer and engineering sciences devoted to solution of non-algoritmizable problems. In this view AI is a part of CI focused on problems related to higher cognitive functions, while the rest of the CI community works on problems related to perception and control, or lower cognitive functions. Grand challenges on both sides of this spectrum are addressed

From Elements to a Set

Graduate Winner: 2nd Place, 2009. 22nd Annual Carl Neureuther Student Book Collection Competition

Evaluating the Application of Artificial Intelligence in Electrochemical Manufacturing: A Comprehensive Analysis

Electrochemical machining (ECM) is a critical manufacturing process used to produce complex and difficult-to-machine materials with high precision and accuracy. The process involves the removal of material through a controlled electrochemical reaction between an electrolyte and an electrically conductive workpiece. With the increasing demand for high-quality products and the need to improve manufacturing efficiency, the use of artificial intelligence (AI) in ECM is becoming increasingly important. AI algorithms can be used to optimize process parameters, detect defects and anomalies, predict maintenance requirements, and optimize the design of workpieces and tooling. This paper provides an overview of the role of AI in ECM, including recent developments, applications, and future prospects

A RELATIONSHIP BETWEEN COGNITIVE INFORMATION PROCESSING IN LEARNING THEORY AND MACHINE LEARNING TECHNIQUES IN COGNITIVE RADIOS

The relationship between cognitivism as learning theory in education and machine learning is characterized in this survey paper. The cognitivism describes how learning occurs through internal processing of information and thus leads to understanding and retention. Cognitive information processing plays an active role to understand and process information that learner receives and relates it to already known and stored within learner’s memory. Thus, the cognitive approach defines learning as a change in knowledge which is stored in learner’s memory, and not a change in learner’s behaviour. In regard with importance of various learning problems to designing cognitive communications systems the two main classification categories of learning techniques are explained. Furthermore, the cognitive radio learning algorithms that have been proposed are described. Finally, the similarities and differences among the principles of learning theories and machine learning are discussed

Enhancing information acquisition in game agents

Significant enhancements in the capabilities of software agents can result through improving how they acquire information. Decision making depends on getting the right information, but the issue of what actually constitutes the right information is complex. This paper outlines important characteristics of information acquisition in agents and suggests how to improve the effectiveness of information acquisition in agents in virtual worlds. By taking an affordance oriented approach it is possible to identify information resources that are efficient, reusable and well matched to the capabilities of game agents

Where is the intelligence in computational intelligence?

Intelligence is a controversial term to define in a universally acceptable way. However, the term is very frequently used in various fields of computer science like web intelligence, machine intelligence, artificial intelligence and overall in the computational intelligence. Some sort of intelligence has already been introduced to different advanced technologies. The future advancement of the intelligent technologies requires a clear definition of intelligence to work with. This paper tries to find out the answer of the crucial question, where and in which cases intelligence might exist in case of intelligent technologies and in the field of computational intelligence in general