'Expert system' diaporamas de présentation

Rule-based expert systems

Rule-based expert systems. The most popular choice for building knowledge-based systems: rule-based expert systems. Introduction, or what is knowledge?.

1.54k views • 100 slides

1.31k views • 94 slides

Rule-Based Expert Systems

Rule-Based Expert Systems. CPS 4801. About the midterm exam. Exam on March 13 Tuesday (Tentatively) Review on March 8 Thursday Grades will be out by March 15, before spring break. Strong AI vs. Weak AI. Strong AI is artificial intelligence that matches or exceeds human intelligence.

1.42k views • 57 slides

Data Visualisation

HCI 0283 Lecture 4 Representation. Data Visualisation. Symbolic Encoding. Last lecture we looked at how to represent numeric data as points in a multidimensional space Although this is useful in many cases we often need to represent ordinal and categorical data as well as numerical data

486 views • 39 slides

Notes for CS3310 Artificial Intelligence Part 7: Reasoning under uncertainty

Notes for CS3310 Artificial Intelligence Part 7: Reasoning under uncertainty. Prof. Neil C. Rowe Naval Postgraduate School Version of January 2006. Rules with probabilities. Probability arguments in predicates indicate their degree of truth on a scale of 0 to 1.

566 views • 37 slides

Chapter 4 DECISION SUPPORT AND ARTIFICIAL INTELLIGENCE Brainpower for Your Business

Chapter 4 DECISION SUPPORT AND ARTIFICIAL INTELLIGENCE Brainpower for Your Business. STUDENT LEARNING OUTCOMES. VISUALIZING INFORMATION IN MAP FORM FOR DECISION MAKING. INTRODUCTION. 4 Phases of decision making. Four Phases of Decision Making. Types of Decisions You Face.

917 views • 34 slides

14. MANAGING KNOWLEDGE

14. MANAGING KNOWLEDGE. LEARNING OBJECTIVES. EXPLAIN ORGANIZATIONAL KNOWLEDGE MANAGEMENT DESCRIBE USEFUL APPLICATIONS FOR DISTRIBUTING, CREATING, SHARING KNOWLEDGE EVALUATE ROLE OF ARTIFICIAL INTELLIGENCE IN KNOWLEDGE MANAGEMENT *. LEARNING OBJECTIVES.

502 views • 31 slides

Pertemuan 14 Enhancing management decision making: EIS dan Sispak

Pertemuan 14 Enhancing management decision making: EIS dan Sispak. Matakuliah : TI307 / Sistem Informasi Tahun : 20 12 Versi : 1. Learning Outcomes. Pada akhir pertemuan ini, diharapkan mahasiswa akan mampu :

413 views • 28 slides

Automated Selection of Patients for Clinical Trials

Automated Selection of Patients for Clinical Trials. Eugene Fink Lawrence O. Hall Dmitry B. Goldgof Bhavesh D. Goswami Matthew Boonstra Jeffrey P. Krischer. Clinical trials. A clinical trial is an evaluation of a new treatment procedure.

606 views • 24 slides

Artificial Life by C. Langton

Artificial Life by C. Langton. Presented by: Enrique Areyan Instructor: Luis M. Rocha I585: Biologically Inspired Computing Indiana University. Agenda. Overview of Key Concepts The Biology of Possible Life Biological Automata Recursively Generated Objects Evolution & Genetic Algorithms

379 views • 24 slides

Introduction to Rule-Based Systems, Expert Systems, Fuzzy Systems (sections 2.7, 2.8, pp. 118-132; and partially 3.1 a

Introduction to Rule-Based Systems, Expert Systems, Fuzzy Systems (sections 2.7, 2.8, pp. 118-132; and partially 3.1 and 3.4). N. Kasabov, Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering , MIT Press, 1996. Sub-topics:. Production rules and production systems

556 views • 23 slides

Worker Co-op Diagnostic Tool

Worker Co-op Diagnostic Tool. November 2008 CWCF AGM & Conference. Goal of the Diagnostic Tool. To create a diagnostic tool which will help coops measure the degree of adherence to principles and values help build and maintain the co-op identity as a

379 views • 23 slides

Build execution into strategy

Build execution into strategy. Group 3 Mayra Garcia Lindsey Pacatte David Hayward Garrett Matthews Nick Watkins Cory Logan. Strategy to the whole company. Strategy is best carried out when everyone is on board with it

452 views • 23 slides

Expert Systems

1.26k views • 21 slides

QIM 501- INSTRUCTIONAL DESIGN AND DELIVERY Prepared by: Ong Mei Yean (P-QM0023/10) Lecturer: Dr. Balakrishnan Muniand

EPISTEMOLOGY/KNOWLEDGE-BASED THEORIES OF INSTRUCTIONAL DESIGN. QIM 501- INSTRUCTIONAL DESIGN AND DELIVERY Prepared by: Ong Mei Yean (P-QM0023/10) Lecturer: Dr. Balakrishnan Muniandy. Theories of knowledge Study of knowledge and justified belief

327 views • 19 slides

Final Exam Review & Recap

Final Exam Review & Recap. CSIS-114. Reading. Chapter 1 pp 3-30 Chapter 2 pp 39-58 Chapter 5 pp 67-91 Chapter 7 pp 99-124 Chapter 8 pp 133-161 Chapter 10 pp 169-209 . The final exam is cumulative so review early reading. But, Concentrate on these pages. Basic Types

403 views • 16 slides

Bayesian Network and Influence Diagram

Bayesian Network and Influence Diagram . A Guide to Construction And Analysis. Chapter 1. Introduction. This chapter provides brief accounts on the context of Probabilistic Networks, what they are and when to use them The main topic covered are Expert Systems Rule-Based Systems

352 views • 16 slides

Chapter 7 Artificial Neural Networks

380 views • 14 slides

Features and Functions of Information Systems

Features and Functions of Information Systems. What are information systems?. Information systems consist of software, hardware and communication networks. They collect, organise and distribute information.

1.08k views • 11 slides

Artificial Immunity-based Intrusion Detection System

Artificial Immunity-based Intrusion Detection System. Associate Prof. Fang Xian-jin. Computer School of AUST. Background. With the development of computer and network technology, information security is becoming very significant.

215 views • 8 slides