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Chapter 9: Decison Support Systems
Chapter 9: Decison Support Systems

... • Decision support systems in business are changing. The growth of corporate intranets, extranets, and other web technologies have increased the demand for a variety of personalized, proactive, web-enabled analytical techniques to support DSS. • Information systems must support a variety of manageme ...
Chapter 9: Decison Support Systems
Chapter 9: Decison Support Systems

... • Decision support systems in business are changing. The growth of corporate intranets, extranets, and other web technologies have increased the demand for a variety of personalized, proactive, web-enabled analytical techniques to support DSS. • Information systems must support a variety of manageme ...
Application of Systemic Approach to Sophocles Global Specification
Application of Systemic Approach to Sophocles Global Specification

... so called, inference engines. Here, the input data are also the active part of executed calculus. In other words the system can acquist and modify rules and algorithms i.e. its own temporal "knowledge". New and especially promising "intelligent" autonomous and decision support systems are those whic ...
What is an Information System? (cont`d)
What is an Information System? (cont`d)

... Goal of systems investigation  To gain clear understanding of the problem to be solved or opportunity to be addressed ...
Designing CIspace: Pedagogy and Usability in a
Designing CIspace: Pedagogy and Usability in a

... The CIspace applets use a common canvas that allows for the drawing of graphs that in turn enable visualization. A graph is the common representation for problems in all of the applets. The graph can be used to define the problem (e.g., in the Graph Searching applet) or represent its result (e.g., i ...
Disjunctive Temporal Planning with Uncertainty
Disjunctive Temporal Planning with Uncertainty

lecture03 - University of Virginia, Department of Computer Science
lecture03 - University of Virginia, Department of Computer Science

Challenge
Challenge

... Lesson Learned from Watson (1): scalable knowledge model building method  “The Watson program is already a breakthrough technology in AI. For many years it had been largely assumed that for a computer to go beyond search and really be able to perform complex human language tasks it needed to do on ...
Review of Artificial Intelligence, Simulation, and Modeling
Review of Artificial Intelligence, Simulation, and Modeling

... simulation. However, because of the approach chosen by the editors and the level of detail given by many of the authors, this book would not make a good resource for many readers other than AI researchers. Despite these shortcomings, this book succeeded in making me aware of a great deal of research ...
6 knowledge representation and reasoning
6 knowledge representation and reasoning

... Knowledge representation (KR) and reasoning are closely coupled components; each is intrinsically tied to the other. A representation scheme is not meaningful on its own; it must be useful and helpful in achieve certain tasks. The same information may be represented in many different ways, depending ...
Review of Genetic Algorithms in Search, Optimization, and Machine
Review of Genetic Algorithms in Search, Optimization, and Machine

... simulation. However, because of the approach chosen by the editors and the level of detail given by many of the authors, this book would not make a good resource for many readers other than AI researchers. Despite these shortcomings, this book succeeded in making me aware of a great deal of research ...
Chapter 7 User Interface and Decision Visualization Applications
Chapter 7 User Interface and Decision Visualization Applications

... neural network Software simulations of the massively parallel processes that involve processing elements interconnected in a network architecture Originally proposed as a model of the human brain’s activities The human brain is much more complex ...
Introduction autonomous mobile systems and AI planning
Introduction autonomous mobile systems and AI planning

... Control Theory through History • Thought to have originated with the ancient Greeks – Time measuring devices (water clocks), water systems ...
Kognitive Modellierung - Cognitive Modeling
Kognitive Modellierung - Cognitive Modeling

... • All known sufficiently complex formal models of computation are equivalent: ...
User-Tailored Plan Generation
User-Tailored Plan Generation

MS PowerPoint format - Kansas State University
MS PowerPoint format - Kansas State University

Artificial Intelligence Artificial intelligence: an empirical science
Artificial Intelligence Artificial intelligence: an empirical science

... brute force can achieve the same range of application and flexibility that humans attain. Unless and until it is demonstrated that they can, we have every reason to explore vigorously the human heuristic search techniques as a and equal reason to understand the source of ideas for intelligent system ...
04/24 --- AI: Science or Engineering?
04/24 --- AI: Science or Engineering?

... brute force can achieve the same range of application and flexibility that humans attain. Unless and until it is demonstrated that they can, we have every reason to explore vigorously the human heuristic search techniques as a and equal reason to understand the source of ideas for intelligent system ...
Solving Mathematical Puzzles: a Deep Reasoning Challenge
Solving Mathematical Puzzles: a Deep Reasoning Challenge

... Given the breath and the complexity of the challenge, the reader might question if it has the right “size” to foster research advances w.r.t. existing state-ofthe-art solutions. An important feature of research challenges is the possibility of facing them is a stepwise fashion, thus providing short- ...
AI Past and Present - University of Basel
AI Past and Present - University of Basel

... “official birth year” of the research area early enthusiasm: Herbert Simon (1957) It is not my aim to surprise or shock you – but the simplest way I can summarize is to say that there are now in the world machines that think, that learn and that create. Moreover, their ability to do these things is ...
Stojanov
Stojanov

... them within its inner value system. Back to the Figures 3 and 4: the situation image in a given moment should include also indicators for potentialities for interactions, which would guide the trajectories towards preferred (in the sense of the inner value system) subspaces. For example, a represent ...
Tutorial for the 2016 IEEE International Conference on Real‐time
Tutorial for the 2016 IEEE International Conference on Real‐time

... whose core topic are bio-inspired algorithms in general. It discusses recent progress in bio-inspired algorithms that can be used for real-time control. Bio-inspired algorithms, based on its nature, are capable of real-time control of various systems, as will be reported and discussed in this tutori ...
A Unified Framework for Human
A Unified Framework for Human

... human demonstrator can teach a robot a new task by using natural language and physical gestures. The robot would gradually accumulate and refine its spatial, temporal, and causal understanding of the world. The knowledge can then be transferred back to another human, or further to another robot. The ...
PDF - Nishant Shukla
PDF - Nishant Shukla

... human demonstrator can teach a robot a new task by using natural language and physical gestures. The robot would gradually accumulate and refine its spatial, temporal, and causal understanding of the world. The knowledge can then be transferred back to another human, or further to another robot. The ...
Model Construction in General Intelligence
Model Construction in General Intelligence

... the concise and reproducible formulation of observed and constructed, complex regularities. For example, the capability to count arbitrarily far requires the apprehension of a recursive algorithm, that is, a finite system of regularities that can cope with (respectively generate) infinitely many cas ...
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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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