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TechGuide 4
TechGuide 4

... – Transferring domain expertise from human experts to the expert system can be difficult because people cannot always explain what they know – Even if the domain experts can explain their entire reasoning process, automating that process may not be possible – In some contexts, there is a potential l ...
Introduction
Introduction

... • AI methods used in vision, language, data mining, etc • 2001- Present: Availability of very large datasets • Emphasis is data rather than algorithm • Hays and Efros (2007) –Filling in holes in photograph ...
15. managing knowledge
15. managing knowledge

... (Bifurcation); Rule Base: Collection of IF THEN knowledge • KNOWLEDGE FRAMES: Knowledge organizes in chunks based on shared relationships ...
Introduction to Artificial Intelligence 236501
Introduction to Artificial Intelligence 236501

... – Not all thought is rational, e.g. reflex – A correct action may not exist using inference – Addresses the cognitive skills required by the Turing Test – Avoids the complex issue of behaving humanly which is impossible to measure. ...
Decision Support and Expert Systems (24)
Decision Support and Expert Systems (24)

... Enterprise information and knowledge portals 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 prefere ...
Natural Computation
Natural Computation

... 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 ...
analysis of web-based applications for expert system
analysis of web-based applications for expert system

... parts such as Expert System and large Web Site/Application, this issue is devoted to creating an appropriate Web Site for Expert System. The analyses of two such systems were given in the article and according to them it can be recommended aiming to prevent the operational problems’ occurrences and ...
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach

... State of the art • Deep Blue defeated the reigning world chess champion Garry Kasparov in 1997 • Proved a mathematical conjecture (Robbins conjecture) unsolved for decades • No hands across America (driving autonomously 98% of the time from Pittsburgh to San Diego) • During the 1991 Gulf War, US fo ...
CoursePortfolioCS435
CoursePortfolioCS435

... 1. 10%: Home work: Solution of the exercises at the end of each chapter. All students should solve the problems themselves to be able to solve problems in the exams. If copy of solution is detected the 10 marks are lost. 2. 10%: Project: Apply one of the AI techniques on a real problem or a game and ...
WWAI. Towards a massively-parallel-wetware
WWAI. Towards a massively-parallel-wetware

... 2.0. Symbolic methods consist of a manipulation of knowledge, presented in a symbolic way, by using logic rules imposed a priori. In this case their strength depends on the state of modern logic. At the present time, the most influential theory for the logic part of reasoning systems is mathematical ...
The History of Artificial Intelligence
The History of Artificial Intelligence

... amok, and tried to wipe out the human race. However, as is usually the case with words, the truth of the matter is a little more convoluted. In the days when Czechoslovakia was a feudal society, "robota" referred to the two or three days of the week that peasants were obliged to leave their own fiel ...
essentials of expert system and its applications
essentials of expert system and its applications

... interactive development strategy is commonly used. He end user is one who uses the expert system. Inference Engine: This acquires and manipulates the knowledge from the knowledge base to arrive at a particular solution. Inference engine combines the facts of a specific care with a knowledge containe ...
Programming and Problem Solving with Java: Chapter 14
Programming and Problem Solving with Java: Chapter 14

...  This is the view that a sufficiently programmed computer would actually be intelligent and would think in the same way that a human does. ...
What is Artificial Intelligence?
What is Artificial Intelligence?

...  This is the view that a sufficiently programmed computer would actually be intelligent and would think in the same way that a human does. ...
Modeling and Experimentation Framework for Fuzzy Cognitive Maps Maikel Leon Espinosa
Modeling and Experimentation Framework for Fuzzy Cognitive Maps Maikel Leon Espinosa

... way to represent knowledge of systems which are characterized of uncertainty and complex processes, also causality. From a structural point of view, a FCM may be represented as a fuzzy directed graph that allow feedback, consisting on neurons and signed weighted relations. Using this methodology, a ...
Golden Ages of AI
Golden Ages of AI

... problem of how a computer could distinguish a male from a female merely by asking questions. This problem has become known as the "Turing Test" and has served as an inspiring vision and philosophical charter for many years since the beginning of AI. At the same time, the mainstream of researchers in ...
Chapter 1
Chapter 1

... information needs supplied by an Information System  Information, Decisions, and Management – the type of information required by decision makers is directly related to the level of management decision making and the amount of structure in the decision situation ...
What is an Expert System
What is an Expert System

... Learning ...
Artificial Intelligence Definition (4 categories)
Artificial Intelligence Definition (4 categories)

... Operational test for intelligent behavior Computer should be interrogated by a human Computer should possess: Natural language processing (to communicate) – knowledge representation (to store information) – automated reasoning (to answer questions and draw new conclusion) – machine learning (to adap ...
Slide 1
Slide 1

... State of the art Deep Blue defeated the reigning world chess champion Garry Kasparov in 1997 Proved a mathematical conjecture (Robbins conjecture) unsolved for decades No hands across America (driving autonomously 98% of the time from Pittsburgh to San Diego) During the 1991 Gulf War, US forces dep ...
Introduction
Introduction

... Imitation Game Operational test for intelligent behavior Computer should be interrogated by a human Computer should possess: Natural language processing (to communicate) – knowledge representation (to store information) – automated reasoning (to answer questions and draw new conclusion) – machine le ...
SYST 201 Systems Modeling I
SYST 201 Systems Modeling I

... Hardware realization of physical symbol system maps action to utility Programming languages are replaced by specification / interaction languages Software designer specifies goals, rewards and information flows Unified theory spans sub-symbolic to cognitive levels ...
Intro to Information Systems
Intro to Information Systems

...  Expertise: solutions require the efforts of an expert  Complexity: solution of the problem is a complex task that requires logical inference processing (not possible in conventional information processing)  Structure: solution process must be able to cope with ill-structured, uncertain, missing ...
AITestReview
AITestReview

... complex tasks at the same time ("multitasking") that are difficult for the brain. ...
artificial intelligence - International Journal of Computing and
artificial intelligence - International Journal of Computing and

... cannot characterize in general what kind of computational procedures we want to call intelligent. We understand some forms of intelligence and not others. Intelligence involves mechanisms, and AI research has discovered how to make computers carry out some of them and not others. If doing a task req ...
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Knowledge representation and reasoning

Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets.Examples of knowledge representation formalisms include semantic nets, systems architecture, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.
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