Analysis and design of intelligent systems

1976 ◽  
Author(s):  
Donald A. Norman
Keyword(s):  
Intelligent Systems ◽  
Analysis And Design

Neural Networks and Fuzzy Logic in Electrical Engineering Control Courses

2003 ◽  
Vol 40 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Francisco Jurado ◽  
Antonio Caño ◽  
Manuel Ortega
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Intelligent Systems ◽  
Fuzzy Logic Controllers ◽  
Analysis And Design ◽  
Modelling Analysis ◽  
Systems And Control ◽  
And Control ◽  
Theoretical Developments ◽  
Logic Controllers

Control system education must include experimental exercises that complement the theory presented in lectures. These exercises include modelling, analysis and design of a control system. Key concepts and techniques in the area of intelligent systems and control have been discovered and developed over the past few decades. While some of these methods have significant benefits to offer, engineers are often reluctant to utilise new intelligent control techniques, for several reasons. In this paper fuzzy logic controllers have been developed using speed and mechanical power deviations, and a neural network has been designed to tune the gains of the fuzzy logic controllers. Student feedback indicates that theoretical developments in lectures on control systems were only appreciated after the laboratory exercises.

On the Design of Multiagent, Context-Aware, and Mobile Systems

2009 ◽  
pp. 357-370 ◽  
Author(s):  
Tagelsir M. Gasmelseid
Keyword(s):  
Software Engineering ◽  
Multiagent Systems ◽  
Context Awareness ◽  
Intelligent Systems ◽  
Mobile Systems ◽  
Service Availability ◽  
Context Aware ◽  
Analysis And Design ◽  
Engineering Practices ◽  
Decision Environments

This chapter addresses the software engineering dimensions associated with the development of mobile and context-aware multiagent systems. It argues that despite the growing deployment of such systems in different application domains little has been done with regards to their analysis and design methodologies. The author argues that the introduction of mobility and context awareness raises three main challenges that deserve a paradigm shift: the challenge of information integrity, service availability on mobile devices, and the complexity of decision modeling. Because they reflect different operational and procedural dimensions, the author argues that the conventional software engineering practices used with intelligent systems that possess other agency qualities need to be “re-engineered.” The chapter emphasizes that the envisioned methodology should reflect a thorough understanding of decision environments, domains epresentation, and organizational and decision-making structures. Furthermore, the chapter provides a description for the appropriate enablers necessary for integrated implementation.

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