'Control knowledge' diaporamas de présentation

CPE/CSC 481: Knowledge-Based Systems

991 views • 82 slides

CPE/CSC 481: Knowledge-Based Systems

974 views • 82 slides

Integrating case-specific experiences with general domain knowledge

Integrating case-specific experiences with general domain knowledge for intelligent information processing. Agnar Aamodt Norwegian University of Science and Technology (NTNU) Department of Computer and Information Science (IDI) Division of Intelligent Systems (DIS)

799 views • 66 slides

Learning Control Knowledge for Planning

Learning Control Knowledge for Planning. Yi-Cheng Huang. Outline. I. Brief overview of planning II. Planning with Control knowledge III. Learning control knowledge IV. Conclusion. I. Overview of Planning. Planning - a very general framework for many applications: Robot control;

707 views • 58 slides

Capturing knowledge about the instances behaviour in probabilistic domains

640 views • 57 slides

Henry Kautz Logical Foundations of AI

Improving SATPLAN and DPLL by Inferring Additional Constraints: Clause Learning, Invariants, Symmetries. Henry Kautz Logical Foundations of AI. Satplan in 15 Seconds. Time = bounded sequence of integers Translate planning operators to propositional schemas that assert:. Satplan in 15 Seconds.

712 views • 56 slides

Chapter 9: Modular Design, Execution Control, and Rule Efficiency

Chapter 9: Modular Design, Execution Control, and Rule Efficiency. Expert Systems: Principles and Programming, Fourth Edition. Objectives. Learn how to use deftemplate attributes See how salience and modules can be used to control the execution of rules

660 views • 50 slides

3/11

482 views • 33 slides

Bonnie W. Morris, Ph.D. CPA Division of Accounting Srinivas Kankanahalli, Ph.D.

The Use of Legal Ontologies in the Development of a System for Continuous Assurance of Privacy Policy Compliance *. Bonnie W. Morris, Ph.D. CPA Division of Accounting Srinivas Kankanahalli, Ph.D. Lane Department of Computer Science & Electrical Engineering West Virginia University

466 views • 30 slides

Unifying SAT-based and Graph-based Planning

Unifying SAT-based and Graph-based Planning. Henry Kautz AT&T Labs Bart Selman Cornell University. IJCAI-99. SATPLAN (Kautz & Selman 1996). instantiated propositional clauses. instantiate. axiom schemas. problem description. length. mapping. SAT engine(s). interpret.

427 views • 29 slides

Unifying SAT-based and Graph-based Planning

Unifying SAT-based and Graph-based Planning. Henry Kautz AT&T Labs Bart Selman Cornell University. IJCAI-99. SATPLAN (Kautz & Selman 1996). instantiated propositional clauses. instantiate. axiom schemas. problem description. length. mapping. SAT engine(s). interpret.

389 views • 29 slides

CPE/CSC 481: Knowledge-Based Systems

CPE/CSC 481: Knowledge-Based Systems. Dr. Franz J. Kurfess Computer Science Department Cal Poly. Introduction Knowledge Representation Semantic Nets, Frames, Logic Reasoning and Inference Predicate Logic, Inference Methods, Resolution Reasoning with Uncertainty

243 views • 24 slides

W.Seal and R.Mattimoe

The role of narrative in developing management control knowledge from fieldwork: a pragmatic constructivist perspective. W.Seal and R.Mattimoe. Origins of research : CIMA funded Project: management accounting practices in UK hospitality industry. Actors: Financial managers; researchers.

253 views • 16 slides

Chapter 12. DECISION RULES AND EXPRESSIONS

Chapter 12. DECISION RULES AND EXPRESSIONS. 12.1 Introduction. Decision rules often are represented in one of two formats Procedures Production rules. 12.2 PROCEDURAL KNOWLEDGE. Two key features characterize this representation

263 views • 14 slides

R1/XCON

R1/XCON. Development of R1/XCON. R1 prototype The initial prototype was developed by Carnegie Mellon University for DEC(1982, 1984) XCON commercial system Used for the configuration of various minicomputer system families First VAX 11/780, then VAX 11/750, then other systems

533 views • 12 slides

Search Control..

190 views • 11 slides