Designing Intelligent Systems

The concept of intelligent system has emerged in information technology as a type of system derived from successful applications of artificial intelligence. The goal of this paper is to give a general description of an intelligent system, which integrates previous approaches and takes into account recent advances in artificial intelligence. The paper describes an intelligent system in a generic way, identifying its main properties and functional components. The presented description follows a pragmatic approach to be used in an engineering context as a general framework to analyze and build intelligent systems. Its generality and its use is illustrated with real-world system examples and related with artificial intelligence methods.

2000

Analyzes the meaning of intelligence within the domain of intelligent control. Because of historical reasons, there are varying and diverse definitions of what constitutes an intelligent control system. Due to the multidisciplinary nature of intelligent control, there are no good formal measures for what is an intelligent controller or for its performance. We argue that there are characteristics which can be used to categorize a controller as being intelligent. Furthermore, the measure of how intelligent a system is should take into account a holistic view of the system's operations and design requirements. Beginning with the definition of intelligence characteristics and performance measures, we can move towards a science of intelligent systems for control

2008

For the engineering of systems it is necessary to test systems during validation with regard to the given requirements specifications. This paper argues for an interdisciplinary standard which should allow the qualification of the behavior of a system to be ’intelligent’ or not. The proposed standard is characterized as an open process allowing different kinds of ’intelligence profiles’. An intelligence profile is a collection of basic intelligence units of which each unit represents an operational test case with a given task and an expected outcome (final goal state.)

Studies in fuzziness and soft computing, 2002

The series "Advances in Intelligent Systems and Computing" contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing.

Lecture Notes in Computer Science, 2001

This paper describes a machine learning method, called Regression by Selecting Best Feature Projections (RSBFP). In the training phase, RSBFP projects the training data on each feature dimension and aims to find the predictive power of each feature attribute by constructing simple linear regression lines, one per each continuous feature and number of categories per each categorical feature. Because, although the predictive power of a continuous feature is constant, it varies for each distinct value of categorical features. Then the simple linear regression lines are sorted according to their predictive power. In the querying phase of learning, the best linear regression line and thus the best feature projection are selected to make predictions.

1998

This paper sets the rational and historical background for this issue of the Journal. It also provides editorial overviews of the three artificial intelligence (AI) technology themes of 'constraint optimisation and scheduling ', 'software agents' and 'soft computing' that are covered by the papers in this issue.

Springer eBooks, 2002

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2006

Any system which must learn to perform a large number of behavioral features with limited information handling resources will tend to be constrained within a set of architectural bounds. Unless design for a system with human like intelligence is performed within these bounds, the system will require excessive resources, and learning will introduce large numbers of undesirable side effects on