'Knowledge representation' diaporamas de présentation

Artificial Intelligence

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Chapter 13

Chapter 13. Artificial Intelligence. Artificial Intelligence. Artificial : humanly contrived often on a natural model Intelligence : the ability to apply knowledge to manipulate one's environment or to think abstractly as measured by objective criteria

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Chapter 07

Chapter 07. Introduction to Artificial Intelligence. Logical Agents. Outline. Knowledge-based agents Wumpus world Logic in general - models and entailment Propositional (Boolean) logic Equivalence, validity, satisfiability Inference rules and theorem proving forward chaining

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Semantics and Semantic Analysis

Semantics and Semantic Analysis. CSC 9010: Special Topics. Natural Language Processing. Paula Matuszek, Mary-Angela Papalaskari Spring, 2005. Meaning. So far, we have focused on the structure of language, not on what things mean

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Relationship Web: Spinning the Semantic Web from Trailblazing to Complex Hypothesis Evaluation August 2007

Relationship Web: Spinning the Semantic Web from Trailblazing to Complex Hypothesis Evaluation August 2007. Amit Sheth Kno.e.sis Center, Wright State University, Dayton, OH .

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A Real-World Knowledge Engineering Application: The NeuroScholar Project

A Real-World Knowledge Engineering Application: The NeuroScholar Project. Gully APC Burns K. M. Research Group University of Southern California. Structure of the presentation. Ideas & Concepts Design Implementation Demonstration. I. Ideas & Concepts.

987 views • 51 slides

Agents Some Examples

Agents Some Examples. Fariba Sadri Imperial College London ICCL Summer School Dresden August 2008. Contents. Teleo-Reactive agents Agent-0 BDI/AgentSpeak(L). Teleo-Reactive (TR) Programs. Some references: Nilsson, TR Programs for agent control, Journal of AI Research, 1994, 139-158

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Knowledge Representation

Knowledge Representation. Introduction. The objective of research into intelligent machines is to produce systems which can reason with available knowledge and so behave intelligently. One of the major issues then is how to incorporate knowledge into these systems. .

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Computers, Artificial Intelligence, & Robotics

Computers, Artificial Intelligence, & Robotics. Erin Harris, Graduate Researcher Jerry B. Weinberg, Associate Professor Department of Computer Science. What is a Computer?. Takes input Keyboard, mouse, camera, microphones Transforms it through a set of instructions Computer Program

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CMSC 671 Fall 2005

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Ontologies and The Real World

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Introduction to AI

Introduction to AI. Intelligent behavior. Computer. Humans. an attempt of. What is AI?. AI is the reproduction of human reasoning and intelligent behavior by computational methods. What is artificial intelligence?

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Lecture 24

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Supporting Decision Making

Supporting Decision Making . Chapter 11 Information Systems Management In Practice 6E McNurlin & Sprague. Introduction. A Problem-Solving Scenario. Technologies for Decision Making. Decision Support Systems (DSS) Architecture. Technologies for Decision Making.

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AI and Bioinformatics

AI and Bioinformatics From Database Mining to the Robot Scientist History of Bioinformatics Definition of Bioinformatics is debated In 1973, Herbert Boyer and Stanely Cohen invented DNA cloning. By 1977, a method for sequencing DNA was discovered

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Knowledge Representation I

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CSE 415 Introduction to Artificial Intelligence Winter 2008

CSE 415 Introduction to Artificial Intelligence Winter 2008. Instructor: Steve Tanimoto email: tanimoto@cs.washington.edu Teaching assistant: Cynthia Matuszek email: cynthia@cs.washington.edu.

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CS621: Artificial Intelligence

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Lecture 01 Artificial Intelligence

Lecture 01 Artificial Intelligence Topics Introduction Knowledge representation Knowledge reasoning Machine learning Applications Introduction Artificial Intelligence A discipline which studies how to make a system smarter Solving problems by reasoning vs. computation

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