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The Quest for Computable Knowledge — A Short Timeline
The Quest for Computable Knowledge — A Short Timeline

... Bush speculated on the idea of a “memex” device that would provide computerized access to the world’s knowledge. Digital computers (1950s) ...
AI Application
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... • Find yourself a team • Find your team leader • Talk about topics and responsibilities ...
Artificial Intelligence
Artificial Intelligence

... The primary aim of AI is to produce intelligent machines. ...
Expert System - Clydebank High School
Expert System - Clydebank High School

... Processor of a computer is known as the ‘brains’ of a computer. However, a processor cannot think or act for itself. Computers do have some form of intelligence this is know as Artificial Intelligence. ...
Artificial Intelligence: Introduction
Artificial Intelligence: Introduction

... Needs: ...
AI_Lecture_1
AI_Lecture_1

... Each neuron is characterized as being "on" or"off," Switch to "on" occurring in response to stimulation by a sufficient number of neighboring neurons. The state of a neuron was conceived of as "factually equivalent to a proposition Any computable function could be computed by some network of connect ...
Intelligent Systems
Intelligent Systems

... Getting better, but not as good as humans ...
INTELLIGENT CONTROLLER
INTELLIGENT CONTROLLER

...  Used formal logic to solve a wide variety of problems, including knowledge representation, planning and learning. "Anti-logic" or "scruffy"  Marvin Minsky and Seymour Papert found that solving difficult problems in vision and natural language processing required ad-hoc solutions – they argued tha ...
Tutorial on Knowledge Engineering in Medicine and Health Care
Tutorial on Knowledge Engineering in Medicine and Health Care

... http://www.asu.edu.eg/staff/profile.php?action=show&pid=8256 abmsalem@yahoo.com absalem@cis.asu.edu.eg In order to act intelligently, a computer must have knowledge about the domain of interest. The process of collecting, representing, and organizing the knowledge is called knowledge engineering (KE ...
CP052 E-Commerce Technology
CP052 E-Commerce Technology

... specify domains and reasoning tasks of a situated software agent, different logical systems for inference over formal domain representations, various learning techniques and agent technology CO2: Identify symbolic knowledge representation to specify domains and reasoning tasks of a situated software ...
why would you study artificial intelligence? (1)
why would you study artificial intelligence? (1)

... physical representations of the sentences at the logical level. For example, a logical sentence could be represented in the knowledge base by the string contained in a list of strings; or by a “1” entry in a three dimensional table indexed by road links and location pairs; or by a complex set of poi ...
course syllabus and outline
course syllabus and outline

... does not come easily, and for good reason. These logic languages may be used to examine different board configurations in a game or intermediate steps in a reasoning process. This space of alternatives solutions is then searched to find a final answer. You are about to begin the study of AI. It woul ...
Discussion of  "Exploiting Relevance through  Model-Based
Discussion of "Exploiting Relevance through Model-Based

... based representations of certain domains. Unfortunately, the representation schemes used in case-based reasoning systems are often not purely declarative, in that they contain various forms of procedural information. Research on frames, scripts and mental models [5, 7, 3] also argues in favor of a m ...
Chapter 11
Chapter 11

...  Knowledge work systems (specialized systems; engineers, scientists, etc; discovering and creating new knowledge)  Intelligent Techniques (data mining, expert systems, neural networks, fuzzy logic, etc.) ...
Special Session Co
Special Session Co

... BIS conference provides a forum for the dissemination of research on the design, implementation and deployment of computer systems for business purposes. In the last decade, we have witnessed an evergrowing tendency towards stronger utilization of semantic and language technologies in knowledge mana ...
Types_of_Computer_Based_Information_Systems
Types_of_Computer_Based_Information_Systems

... • Not as good as having human experts • Does not learn from mistakes • Unlikely to come up with creative solutions ...
A Logical Framework for Ontology Representation, Reasoning and
A Logical Framework for Ontology Representation, Reasoning and

... • We propose the multiple ICs for the taxonomic analysis and discuss about the IC-subsumption, incompatible IC and the consistent updating of ontologies in a given Kripke frame [1]. • We represent the sortal taxonomies in terms of order-sorted logic by considering the metaproperties (+R+I) as the pr ...
ai lect1
ai lect1

... Early AI programs, including Samuel's checkers program, Newell & Simon's Logic Theorist, Gelernter's Geometry Engine Robinson's complete algorithm for logical reasoning AI discovers computational complexity Neural network research almost disappears Early development of knowledge-based systems AI bec ...
Knowledge
Knowledge

... • List names and addresses of clients with a year to date balance of less than $50,000 who are headquartered in the midwest SELECT Name, Address FROM Client WHERE Region = “Midwest” AND YTD_Ord < 50000 ...
AI & Expert Systems
AI & Expert Systems

... • AI is the effort to develop systems that can behave/act like humans. • Turing Test • The problem = unrestricted domains ...
Module Code SS-4302 Module Title Artificial Intelligence Degree
Module Code SS-4302 Module Title Artificial Intelligence Degree

... SS-2207 Introduction to Artificial Intelligence and Soft Computing ...
EECE 503 – SPECIAL TOPICS: Artificial Intelligence and its
EECE 503 – SPECIAL TOPICS: Artificial Intelligence and its

... The objectives of this course are to give students: 1. An understanding of the fundamentals of knowledge representation for use in machine intelligence. 2. An overview of most recent trends in search algorithms applicable to solving many real world problems, such as scheduling. 3. An overview of som ...
Preface
Preface

... Artificial intelligence (AI) researchers continue to face large challenges in their quest to develop truly intelligent systems. e recent developments in the area of neural-symbolic integration bring an opportunity to combine symbolic AI with robust neural computation to tackle some of these challen ...
presentation source
presentation source

... • thinking as computation (1956) John McCarthy, Marvin Minsky, Herbert Simon, Allen Newell • start of the field of AI ...
Electronic Commerce
Electronic Commerce

... whereas most AI systems must work with symbolic input. 3. Human reasoning is able to make use at all times of a very wide context experience and bring that to bear on individual problems, where as AI systems typically gain their power by having a very narrow domain. ...
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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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