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Organizational Memory and Knowledge Management
Organizational Memory and Knowledge Management

... shifting, technology proliferating, competitors multiplying, and products become obsolete overnight. In the currently emerging knowledge society, knowledge is seen as the most important success factor. Similar to the significance of technologies and mechanical machines during the industrial revoluti ...
Decision Support and Expert Systems (24)
Decision Support and Expert Systems (24)

... provide a customized and personalized Webbased interface for corporate intranets to give their users easy access to a variety of internal and external business applications, databases, and information services that are tailored to their individual preferences and information needs. ...
Artificial Intelligence - Florida State University
Artificial Intelligence - Florida State University

... precise probabilities.You can tune your expert system with these certainty factors. ...
Pdf-preprint - Dipartimento di Informatica
Pdf-preprint - Dipartimento di Informatica

... entitled Minds and Machines (Putnam, 1960). In its more radical formulation it postulates the sufficiency, from an epistemological perspective, of a weak equivalence between cognitive processes and AI procedures and propose that, from an explanatory point of view, the relation between “natural mind” ...
MetaMAc, or What Do I Do Now? A strategic perspective
MetaMAc, or What Do I Do Now? A strategic perspective

... The strategic level of MetaMAc then will likely require fairly sophisticated knowledge representation and reasoning (KRR) techniques; requiring reasoning about naturallanguage processing and the world more generally will at times be essential. Reference [9] gives compelling examples (although it is ...
Lecture01 - Department of Psychology and Neuroscience
Lecture01 - Department of Psychology and Neuroscience

... Lost in Space R2D2, C3PO The Terminator Mystery Science Theater 3000 ...
Chap010
Chap010

... Enterprise Information Portals (EIP) – Web-based interface with integration of MIS, DSS, EIS, etc., to give intranet/extranet users access to a variety of applications and services ...
Week Three - Temple Fox MIS
Week Three - Temple Fox MIS

... Internal Information Systems MIS 2101: Management Information Systems Based on material from Information Systems Today: Managing in the Digital World, Leonard Jessup and Joseph Valacich, Pearson Prentice Hall, 2007 Also includes material by David Schuff, Paul Weinberg, and Cindy Joy Marselis. ...
From autism to ADHD: computational simulations
From autism to ADHD: computational simulations

... 2011: IEEE CIS Task Force “Towards Human-like Intelligence”, new group run by Jacek Mandziuk & Wlodek Duch, please join us! ...
AI - IDt
AI - IDt

... Icons are said to resemble what they represent (e.g. portrait paintings) Indices are connected to what they represent by a causal connection (e.g. smoke indicates fire) Symbols are connected to what they represent through use or convention only (like the words of a natural language). But: anything i ...
CS440 Introduction to Artificial Intelligence
CS440 Introduction to Artificial Intelligence

AI from the Perspective of Cognitive Science
AI from the Perspective of Cognitive Science

... 4. Which program possesses more intelligence, Deep Blue (which beat Kasparov at chess) or General Problem Solver (GPS), which can solve simple “brain teaser” puzzles? Is it possible that they both work in the same way? 5. Which brand of AI is most relevant to Cognitive Science, Human AI or Alien AI? ...
10-25 Using Decision Support Systems
10-25 Using Decision Support Systems

Study of Nature Inspired Computing
Study of Nature Inspired Computing

... respond slowly but implement much higher-level operations. The ability of biological systems to assemble and grow on their own enables much higher interconnection densities.[10] One of the most inspiring natural intelligence is the human mind itself. There are many theories of how minds work. This i ...
NOTE: Your selected records (to a maximum of 500
NOTE: Your selected records (to a maximum of 500

... about the target environment must be continuously collected from the physical world and processed in a timely manner to generate real-time responses. Those systems contain a large network of sensors distributed across different components, which leads to a tremendous amount of measurement data avail ...
lecture01 - University of Virginia, Department of Computer Science
lecture01 - University of Virginia, Department of Computer Science

... • Not confined to only using laws of logic • Anything goes so long as it produces rational behavior ...
Soft Computing - 123seminarsonly.com
Soft Computing - 123seminarsonly.com

...  It performs numerical computation by using linguistic labels stimulated by membership functions  It lacks the adaptability to deal with changing external environments ==> incorporate NN learning concepts in fuzzy inference systems: NF modeling ...
application of the artificial intelligence methods in cad/cam/cim
application of the artificial intelligence methods in cad/cam/cim

... that of the tutor language. The language used must be understood by the interface, and a special expert system may be needed to extract from the user input the semantics which describes the problem uniquely. Manufacturing Knowledge Module. This module can be understood as a world model of the domain ...
apliance of the artificial intelligence`s methods in cad/cam/cim systems
apliance of the artificial intelligence`s methods in cad/cam/cim systems

... that of the tutor language. The language used must be understood by the interface, and a special expert system may be needed to extract from the user input the semantics which describes the problem uniquely. Manufacturing Knowledge Module. This module can be understood as a world model of the domain ...
Introduction - University of Western Australia
Introduction - University of Western Australia

... So what is Computational Intelligence? • Is CI defined entirely by analogy with the natural world, or can we be more precise? • The key properties of Computational Intelligence are: • Identifying simple mechanisms to produce good solutions, rather than complex mechanisms to produce an optimal solut ...
The Cognition of Engineering Design—An Opportunity of Impact
The Cognition of Engineering Design—An Opportunity of Impact

... of open goals on the acquisition of problem relevant information; hints presented implicitly aid problem solving, particularly in the presence of open goals, but in some situations the hints are most effective prior to reaching an impasse (Moss, 2006). Computational simulations of human performance ...
Cognitive architectures - Department of Intelligent Systems
Cognitive architectures - Department of Intelligent Systems

... Aim is to investigate cognitive and neural mechanisms that underlie biological intelligence and to transfer the knowledge to the areas of artificial intelligence, robotics, education and medicine. Undergraduate and postgraduate courses: ◦ Statistical Models of the Brain ◦ Cognitive Robotics ◦ Specia ...
Discussion of  "Exploiting Relevance through  Model-Based
Discussion of "Exploiting Relevance through Model-Based

... information to be part of the KB. It would be interesting to see whether a model-based representation as introduced by Khardon and Roth could be extended to include certain rule-based information while maintaining good computational properties. Despite the various open questions, it is clear that th ...
CSCI 5582 Artificial Intelligence
CSCI 5582 Artificial Intelligence

... Thinking Like Humans? • For this approach, need a way to determine how humans think ...
TG4.1
TG4.1

... and human intelligence. 2. Define expert systems, and provide examples of their use. 3. Define neural networks, and provide examples of their use. 4. Define fuzzy logic, and provide examples of its use. ...
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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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