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A Research Perspective: Artificial Intelligence, Management and
A Research Perspective: Artificial Intelligence, Management and

... the accountants that perform those activities. Coopers and Lybrand's ExperTax system guides accountants through the information-gathering process and helps them explain differences between statutory and effective (or computed) tax rates (Shpilberg and Graham, 1989). The system notes relevant issues, ...
Artificial Intelligence
Artificial Intelligence

... systems of objects, that highlights respects in which they are thought to be similar. Analogical reasoning is any type of thinking that relies upon an analogy. An analogical argument is an explicit representation of a form of analogical reasoning that cites accepted similarities between two systems ...
Integrating Scheduling and Control Functions in Computer
Integrating Scheduling and Control Functions in Computer

... techinnolqgy and sophisticated techniques of artificial in­ nol~gy telligence (AI) should be applied to such FMS functions as scheduling. In this paper, we present an Intelligent Scheduling System for FMS under development that makes use of the integration of two AI technologies. These two Al techno ...
Artificial Intelligence and Consciousness - Computer Science
Artificial Intelligence and Consciousness - Computer Science

... held in some globally accessible area (Baars, 1988, 1997). AI has made contributions to this idea, in the form of specific ideas about how this global access works, going under names such as the “blackboard model” (Hayes-Roth, 1985), or “agenda-based control” (Currie & Tate, 1991). One can evaluate ...
Computational Models of Narrative: Review of the Workshop
Computational Models of Narrative: Review of the Workshop

... Computational modeling requires a precise statement of the problem (or problems) to be solved. Thus, an obvious first step is to understand how narrative should be represented. There were three common denominators among the representations presented at the workshop: (1) narratives have to do with seq ...
an implementation of expert system for
an implementation of expert system for

... Figure 4(a-b): Developed orthopedic expert system where users can search any disease by identifying their problems. Whereas the Figure 7 shows a knowledgebase consists of production rules. The production rule is typically expressed as IF (condition or premise), THEN (action or conclusion) keywords, ...
Using Information Systems for Decision Making
Using Information Systems for Decision Making

... • Executive information system (EIS) – Computer-based system that supports the decision-making processes of senior managers Copyright © 2005 Prentice Hall, Inc. ...
KNOWLEDGE REPRESENTATION AND REASONING 1
KNOWLEDGE REPRESENTATION AND REASONING 1

... advancein formal logic was the workof Frege at the turn of the century who, along with Russell, Peano, and others, gave logic muchof the flavor it has today. The goal of this early work was to put mathematicsand mathematical reasoning on a sound theoretical footing. Indeed the major application of s ...
The role of Artificial Intelligence Tools in Pharmaceutical Industries
The role of Artificial Intelligence Tools in Pharmaceutical Industries

... their operations in India. The industry is expected to touch US$ 35.9 billion by 2016. The Expert system like ‘Exsys Inc’ perform very important role in pharmaceutical Organizations that can now optimize their most valuable asset, expert knowledge, through powerful interactive Web-enabled knowledge ...
2010-2011 Assessment  for Master’s Degree Program Computer Science Dept.
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... 0% 89% (CO534.3): Understand the concepts of an Access Control List and learn how to configure a router for ACLs. CSCI 538 Artificial Intelligence 0% 0% (CO538.1): To learn about general concepts in the field of artificial intelligence. 0% 0% (CO538.2): To learn ab ...
Computational Intelligence
Computational Intelligence

Expert System of AI
Expert System of AI

... knowledge engineers is emerging. Today there are two ways to build an expert system.:-They can be built from scratch. They built using a piece of development software known as a "tool" or a "shell." Before we discuss these tools, let's briefly discuss what knowledge engineers do. Though different st ...
Reports of the AAAI 2008 Spring Symposia
Reports of the AAAI 2008 Spring Symposia

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agent
agent

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Chapter 7: Specialized Business Information Systems
Chapter 7: Specialized Business Information Systems

... Neural Networks • A computer system that can simulate the functioning of a human brain • The ability to retrieve information even if some of the neural nodes fail • Fast modification of stored data as a result of new information • The ability to discover relationships and trends in large databases ...
Slide 1
Slide 1

... Neural Networks • A computer system that can simulate the functioning of a human brain • The ability to retrieve information even if some of the neural nodes fail • Fast modification of stored data as a result of new information • The ability to discover relationships and trends in large databases ...
Reflection in Action: Meta-Reasoning for Goal
Reflection in Action: Meta-Reasoning for Goal

... of the turn-based strategy game called Civilization (www.freeciv.org). As the game design evolves (e.g., a new rule is introduced into the game), GAIA uses the TMK model to analyze the modifications needed to the agent design and propagates the changes all the way down to the program code (Jones et ...
Call for Papers - Association for the Advancement of Artificial
Call for Papers - Association for the Advancement of Artificial

... The second page, on which the paper body begins, should include the same title, abstract, content areas, word count, tracking number, and statement with respect to multiple submissions, but not the names or affiliations of the authors. The references should include all published literature relevant ...
Project MLEXAI: applying machine learning to web document
Project MLEXAI: applying machine learning to web document

... are available from dmoz.org (the Open Directory project), the yahoo directory (dir.yahoo.com), about.com and many other web sites that provide access to web pages grouped by topic or subject. These topic structures have to be examined in order to find several topics (e.g. 5), each of which is well r ...
1 1 1 1 1 1 1 0 0 0 0 0 0 0 parents cut cut 1 1 1 0 0 0 0 0 0 0
1 1 1 1 1 1 1 0 0 0 0 0 0 0 parents cut cut 1 1 1 0 0 0 0 0 0 0

... Five year studies at universities of Utrecht, Amsterdam, Groningen and Maastricht ...
Robot Learning, Future of Robotics
Robot Learning, Future of Robotics

... "They made the machines. That's what I'm trying to tell you. Meat made the machines.“ That's ridiculous. How can meat make a machine? You're asking me to believe in sentient meat.“ "I'm not asking you, I'm telling you. These creatures are the only sentient race in the sector and they're made out of ...
KM Enabling Technologies
KM Enabling Technologies

... KM – Connect, Create and Collaborate, and Contextualise. Connect: Ensures people in the organisation get fundamental access to knowledge content and exchange of information (e.g. Browser, XML, HTML, Internet, Semantic Web, World Wide Web). Create and collaborate: Facilitates the creation and externa ...
Document
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... • Competent end users need to be aware of specialized applications such as: graphics programs, audio and video editing software, multimedia, Web authoring, and artificial intelligence. ...
Intelligent Multimedia-A New Computing
Intelligent Multimedia-A New Computing

... We want to solve real world problems in AI. Obviously for automating problem solving, we need to represent the real world. Since we cannot represent all aspects of a real world problem, we need to restrict the representation to only the relevant aspects of the real world we are interested in. Let us ...
Artificial Intelligence and Other Approaches to Speech Understanding
Artificial Intelligence and Other Approaches to Speech Understanding

... AI speech research, like AI research in general, has a larger purpose: researchers don’t just want to solve the problem at hand, they also want their solution to inspire other work. AI speech researchers have generally wanted their work to be relevant to other problems in natural language processing ...
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History of artificial intelligence

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with ""an ancient wish to forge the gods.""The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.The field of AI research was founded at a conference on the campus of Dartmouth College in the summer of 1956. Those who attended would become the leaders of AI research for decades. Many of them predicted that a machine as intelligent as a human being would exist in no more than a generation and they were given millions of dollars to make this vision come true. Eventually it became obvious that they had grossly underestimated the difficulty of the project. In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. This cycle of boom and bust, of ""AI winters"" and summers, continues to haunt the field. Undaunted, there are those who make extraordinary predictions even now.Progress in AI has continued, despite the rise and fall of its reputation in the eyes of government bureaucrats and venture capitalists. Problems that had begun to seem impossible in 1970 have been solved and the solutions are now used in successful commercial products. However, no machine has been built with a human level of intelligence, contrary to the optimistic predictions of the first generation of AI researchers. ""We can only see a short distance ahead,"" admitted Alan Turing, in a famous 1950 paper that catalyzed the modern search for machines that think. ""But,"" he added, ""we can see much that must be done.""
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