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Recognition Tasks
Recognition Tasks

... LeongHW, SoC, NUS ...
Postulates for logic-based argumentation systems
Postulates for logic-based argumentation systems

... In [28], Caminada proposed a fourth postulate, called non-contamination. It ensures that two conflicting arguments cannot be used to build a third argument which will attack arbitrary arguments and prevent them from being accepted. Later, Amgoud and Besnard proposed in [29] a stronger version of dir ...
Paper  - FB3
Paper - FB3

... Description Logics (DLs) are an important family of logic-based knowledge representation formalisms [4]. In DL, one of the main research goals is to provide a toolbox of logics such that, for a given application, one can select a DL with adequate expressivity. Here, adequate means that, on the one h ...
Document
Document

... • The algorithms used in the products of the 1990s were known earlier but they were too complex to be implemented effectively with the digital technology of earlier times. ...
Analyzing Impact of AI Tools on Traditional Workflow Systems
Analyzing Impact of AI Tools on Traditional Workflow Systems

... Intelligence as “the study of computations that make it possible to perceive reason and act”. [3] The objective of Artificial Intelligence community to develop Intelligent Systems which are capable enough to achieve complex tasks in dynamic and uncertain environments. These systems have the ability ...
The SAS System and Meta Knowledge
The SAS System and Meta Knowledge

... SAS. However it includes a very simple data dictionary. SP AD® (CISIA - France) is a software specialised in multivariate analysis. It contains a data dictionary used for validation and coding of data. Explicit measurement level is required to perform analysis and some grouping of methods are descri ...
Tutorial presentation
Tutorial presentation

... actions. One can restrict to plans in which lamps are turned on in the ascending order: switching lamp n after lamp m > n unnecessary.1 ...
Program - Association for the Advancement of Artificial Intelligence
Program - Association for the Advancement of Artificial Intelligence

... M. Ford, Florida Institute for Human and Machine Cognition, who is being recognized for his outstanding contributions to the field of artificial intelligence through sustained service, including the founding of the Florida Institute for Human and Machine Cognition (IHMC), leadership roles at NASA, a ...
Introduction to Expert Systems: MYCIN
Introduction to Expert Systems: MYCIN

... information. No matter how obvious the disease is, MYCIN method of medically checks for all of the details and considers all alternatives. ♦ MYCIN is maintained at a major medical center and is, consequently, completely current. Several of its therapy recommendations are based on recent data publish ...
artificial intelligence (luger, 6th, 2008)
artificial intelligence (luger, 6th, 2008)

... Intelligence is too complex to be described by any single theory; instead, researchers are constructing a hierarchy of theories that characterize it at multiple levels of abstraction. At the lowest levels of this hierarchy, neural networks, genetic algorithms and other forms of emergent computation ...
opinion mining and sentiment classification: a
opinion mining and sentiment classification: a

... useful to classify the topics and its related opinions. This type of analysis can be useful for comparative search analysis of related items and also to discuss on the texts that contains various features and attributes. The political orientation of the websites can be done by classifying the concat ...
artificial intelligence - MET Engineering College
artificial intelligence - MET Engineering College

... 1.1.4 The state of art What can A1 do today? Autonomous planning and scheduling: A hundred million miles from Earth, NASA's Remote Agent program became the first on-board autonomous planning program to control the scheduling of operations for a spacecraft (Jonsson et al., 2000). Remote Agent generat ...
content - ITC Digital Library
content - ITC Digital Library

... ad hoc or organizational DSS. Group DSS research emphasized impacts on decision process structuring and especially brainstorming. The discussion in this section follows the broad historical progression of DSS research. The first subsection examines model-driven DSS, then the focus turns to data-dri ...
ppt - CSE, IIT Bombay
ppt - CSE, IIT Bombay

... HORN Clauses: All the implications have a single literal as consequent. A(antecedent) → B(consequent) B is a single literal, never contain any operator. Moreover B has to be a positive literal. ...
General - School of Information Technologies
General - School of Information Technologies

... Intelligence, 1997. Angell, I. (1998); The knowledge scam, Information Strategy, Vol. 3, No. 6, 1998, p23-25. Angus, J., Patel, J. and Harty, J. (1998); Knowledge management: Great concept...but what is it?, Informationweek, Issue 673, 16th March, 1998, p58-70. Anonymous (1997); How Do You Manage Kn ...
Complex Preferences for Answer Set Optimization
Complex Preferences for Answer Set Optimization

... 1. Lecturers will have preferred courses which they like (and are able) to teach. 2. Some of the lecturers prefer to teach, say, in the morning, others may prefer afternoon or evening lectures. 3. Some lecturers may even have their preferred lecture rooms, maybe because they are close to their offic ...
pdf
pdf

... reasoning, however, still has to find such a frame and has to deal with ambiguities and multiple interpretation possibilities and does not have a unique outcome. It is at this point that they proposed nonmonotonic logic as a more adequate analysis tool for the human reasoning processes. Within nonmo ...
Expert System in Detecting Coffee Plant Diseases
Expert System in Detecting Coffee Plant Diseases

... many fields. In Agriculture, some problems which are often faced by farmers are due to lack of knowledge and information on how to give the right treatments for plant diseases. Thus causing they spend much money to buy chemical pesticides, which actually it wouldn’t be necessary at all because there ...
PPT
PPT

... • ie: [I should wear a coat]? – note: this would read easier in English as “should I wear a coat”, but we want to use the same propositional symbol as is in our knowledge base ...
PPT
PPT

... • ie: [I should wear a coat]? – note: this would read easier in English as “should I wear a coat”, but we want to use the same propositional symbol as is in our knowledge base ...
Artificial Cognitive Systems
Artificial Cognitive Systems

... –  Cognitive process determines what is real or meaningful for the agent –  The system constructs its reality (world) as a result of its operation in that world –  Perception provides sensory data to enable effective action, but as a consequence of the system’s actions –  Cognition and perception ar ...
6.034 Artificial Intelligence. Copyright © 2004 by Massachusetts
6.034 Artificial Intelligence. Copyright © 2004 by Massachusetts

... We've now spent a fair bit of time learning about the language of first-order logic and the mechanisms of automatic inference. And, we've also found that (a) it is quite difficult to write first-order logic and (b) quite expensive to do inference. Both of these conclusions are well justified. Theref ...
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE)
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE)

... intelligent. It involves using methods based on the intelligent behaviour of humans and other animals to solve complex problems. Expert System is a branch artificial intelligence, it is a system designed to model the behaviour of an expert in some field, such as medicine or geology. [Yang and Okrent ...
Super Logic Programs - Institut für Informatik
Super Logic Programs - Institut für Informatik

... programs can be viewed, in this sense, as the simplest non-monotonic extension of classical monotonic logic. However, standard logic programs suffer from some important limitations. Most importantly, they are unable to handle disjunctive information1 . Yet, in natural discourse as well as in various ...
Introduction to AI
Introduction to AI

... One is to use the power of computers to augment human thinking, just as we use motors to augment human or horse power. Robotics and expert systems are major branches of that. ...
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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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