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Chapter3
Chapter3

... paper, heads) ...
BIS 2200 Intelligent Systems
BIS 2200 Intelligent Systems

... Course Description: By the completion of this course, the student should; Have an appreciation of computational issues in problem solving; Have an understanding of concepts, methods and principles in knowledge based problem solving; Be able to design and implement prototype knowledge systems. Indica ...
slides-ppt
slides-ppt

... Turing machine? computer program? ...
Chapter_3_ID2e_slides
Chapter_3_ID2e_slides

The Cognitive Perspective A. Main focus and assumptions
The Cognitive Perspective A. Main focus and assumptions

... researchers had done. It really represented a shift even further towards Psychology as a science. Many researchers began to follow Broadbent’s (1958) idea that much of cognition consists of a sequence of stages (input/attention/perception, storage, retrieval, or whatever). D. ...
The Cognitive Perspective
The Cognitive Perspective

... researchers had done. It really represented a shift even further towards Psychology as a science. Many researchers began to follow Broadbent’s (1958) idea that much of cognition consists of a sequence of stages (input/attention/perception, storage, retrieval, or whatever). D. ...
Judith-Grob-token-02-07-2003 - Alice
Judith-Grob-token-02-07-2003 - Alice

... complex, software design geared towards the ‘average user’ is insufficient, as different users have different needs. •Users differ in: goals, experience, interests, knowledge. •Possible Solution: Let the system maintain a cognitive model of the user, which performs the role of an intelligent agent t ...
MAS_Notes
MAS_Notes

... Multi-Agent System Notes 1. An Application Science for Multi-Agent Systems, T.A. Wagner a. “A Complex Systems Perspective on Collaborative Design,” M. Klein, P. Faratin, H. Sayama, Y. Bar-Yam, pp. 77-93 Different aspects of design done so as to locally maximize module while meeting influence constra ...
ppt
ppt

< 1 ... 82 83 84 85 86

Ecological interface design

Ecological interface design (EID) is an approach to interface design that was introduced specifically for complex sociotechnical, real-time, and dynamic systems. It has been applied in a variety of domains including process control (e.g. nuclear power plants, petrochemical plants), aviation, and medicine.EID differs from some interface design methodologies like User-Centered Design (UCD) in that the focus of the analysis is on the work domain or environment, rather than on the end user or a specific task. The goal of EID is to make constraints and complex relationships in the work environment perceptually evident (e.g. visible, audible) to the user. This allows more of users' cognitive resources to be devoted to higher cognitive processes such as problem solving and decision making. EID is based on two key concepts from cognitive engineering research: the Abstraction Hierarchy (AH) and the Skills, Rules, Knowledge (SRK) framework.By reducing mental workload and supporting knowledge-based reasoning, EID aims to improve user performance and overall system reliability for both anticipated and unanticipated events in a complex system.
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