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Unit Descriptor - Solent Online Learning
Unit Descriptor - Solent Online Learning

... PRE-REQUISITES AND CO-REQUISITES: None UNIT DESCRIPTION This unit explores the role of Artificial Intelligence (A.I.) in delivering software solutions to real world problems. Emphasis is on those subjects that have immediate application, especially in the development of novel solutions within the ga ...
the PowerPoint Presentation
the PowerPoint Presentation

... • It does not answer the question of what ASU could show to external parties other than the 36 ...
THE BRITISH COMPUTER SOCIETY KNOWLEDGE BASED SYSTEMS  THE BCS PROFESSIONAL EXAMINATIONS
THE BRITISH COMPUTER SOCIETY KNOWLEDGE BASED SYSTEMS THE BCS PROFESSIONAL EXAMINATIONS

... unstructured lists of rules (sometimes in natural language) without any narrative on how these would be used to solve the given problem. Alternatively, programming style code segments were included without relation to chaining; for instance, use of loops to search every rule will find the right one ...
Fads and Fallacies about Logic
Fads and Fallacies about Logic

... Laura’s sentence can be represented by two levels of metalogic about the quotations. In adult speech, metalanguage is so common that it’s often unrecognized. The modal verbs, which can also be expressed by adverbs such as possibly, are a special case of expressions such as probably, very likely, I d ...
XI. ARTIFICIAL  INTELLIGENCE* Prof.  M.  L.  Minsky
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INTRODUCTION TO INFORMATION SYSTEMS TECHNOLOGY
INTRODUCTION TO INFORMATION SYSTEMS TECHNOLOGY

... Simulation is used to examine proposed solutions and their impact ...
Human-Level Artificial Intelligence? Be Serious!
Human-Level Artificial Intelligence? Be Serious!

... tors feel, however, that the Turing test does not constitute an appropriate or useful criterion for human-level AI, and modifications, extensions, and restrictions of it have been proposed. (For a thorough discussion of the test and the controversies surrounding it, see the online article [Oppy and ...
(ISE5010) Decision Support Modeling for Courier and Freight
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FREE Sample Here - Test bank Store
FREE Sample Here - Test bank Store

... development project is not analyzing an existing business area and does not have to focus on how the current system works or the problems present in the current system. This implies that the analysis team will have to do extensive work with the users to define the new system before writing any progr ...
CS-01-13 - Department of Computer Science
CS-01-13 - Department of Computer Science

... delivery, though. One of the risks in highly changing environments such as the Internet is that information (e.g. web pages) can change format in a very short time, and the system must be able to detect such changes [Muslea 2000]. The same techniques mentioned above for testing corpus representative ...
What is a Mental Model? - Computer Science
What is a Mental Model? - Computer Science

... Only need to understand that the gas petal on a car is pressed down to make the car go faster – if all you want to do is drive the car. If the goal is to fix a sticky accelerator then you need to look under the hood and (maybe) in a technical manual. ...
Using knowledge in model-based software development
Using knowledge in model-based software development

... merges knowledge-based technique with general purpose programming. • One can imagine building a knowledge-based tool on top of Java by extending the Java language, for example, just with comments that include the knowledge usable by the tool. Doing this, one should carefully preserve all Java possib ...
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PDF document - Romanian

... level and less likely to be unemployed. For some jobs a postgraduate qualification may be essential, for others it offers a competitive edge. Our graduates go into a variety of jobs, where the key employability skills and knowledge they have gained through postgraduate study are put to good use. The ...
Chapter 11 Specialized Business Information Systems
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... The use of computers to do symbolic reasoning A focus on problems that do not respond to algorithmic solutions ...
Knowledge Management Framework for E-Healthcare
Knowledge Management Framework for E-Healthcare

... source of corporate knowledge originates from the staff within the organisation. In the healthcare sector, patients as well as healthcare workers contribute significantly to knowledge creation and knowledge sharing. Furthermore, tacit and explicit knowledge are not only embedded in people as new kno ...
Introduction to the Special Issue on Innovative Applications of
Introduction to the Special Issue on Innovative Applications of

... variety of AI techniques, including modeling and diagnosis, to enable software systems to continue functioning even after a successful attack, for example by recognizing the application’s critical data that must be preserved in case of failure. We hope you enjoy these exemplary articles and invite y ...
applications of artificial intelligence to condition-based
applications of artificial intelligence to condition-based

... An example of expert system for diagnosing ventilators is described below. Figure 4 shows the object (air fan) to be diagnosed and its possible areas and causes of failure. The acceleration and velocity of vibration at the sensing points 1, 2, 3, and 4 are measured. The causalities between these mea ...
Faculty of Computer Science and Information Technology
Faculty of Computer Science and Information Technology

... Modern society is being moved towards a knowledge-based model within which innovative solutions are created that can be applied to enhancing the economy. However, innovative solutions can be created through synthesizing existing knowledge. Scientific methods have been designed and are applied specif ...
On the Importance of Teaching Professional Ethics to
On the Importance of Teaching Professional Ethics to

... “Weak AI” refers to the use of software to specific problem solving, (e.g. expert systems). General intelligence (or “Strong AI") is still a long-term ...
1 MISY 830: Decision Support and Analysis Alfred Lerner College of
1 MISY 830: Decision Support and Analysis Alfred Lerner College of

... Course Web Site: http://www.buec.udel.edu/wraggej/MISY830/ ...
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach

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IOSR Journal of Computer Engineering (IOSRJCE) ISSN: 2278-0661, ISBN: 2278-8727
IOSR Journal of Computer Engineering (IOSRJCE) ISSN: 2278-0661, ISBN: 2278-8727

... These experts system are being used widely in VLSI design [7][8][10][12]. The Design Automation Assistant (DAA) [5] is important as it was one of the first knowledge-based systems created for VLSI design. It was developed jointly by researchers at Carnegie-Mellon University and AT&T Bell Labs. The i ...
Artificial intelligence in engineering
Artificial intelligence in engineering

... The first knowledge-based systems appeared in the 70s, and because they contained highlevel, domain-specific knowledge elicited from human experts, they were called Expert Systems (ESs). The first significant engineering application was published in the 80s [15]. It was a knowledge-based system call ...
iea-aie 2011 call for papers - International Society of Applied
iea-aie 2011 call for papers - International Society of Applied

... presenting the results of original research or innovative practical applications relevant to the conference. Practical experiences with state-of-the-art AI methodologies are also acceptable when they reflect lessons of unique value to the conference attendees. Shorter works, up to 6 pages, to be pre ...
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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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