'First order predicate logic' diaporamas de présentation

Logic Programming

Logic Programming Logic programming had its beginning in early 1970s. It was primarily introduced by Kowalski (1974) and Colmerauer et al. (1973) following the earlier work in automated theorem proving and Artificial Intelligence.

1.25k views • 96 slides

Binary Decision Diagrams for First Order Predicate Logic

Binary Decision Diagrams for First Order Predicate Logic. By: Jan Friso Groote Afsaneh Shirazi. BDDs for FOL . First order predicate logic Binary Decision Diagrams Simple operations on BDDs Advanced operations on BDDs Algorithm Example. First Order Predicate Logic.

786 views • 53 slides

Chapter 2: The Representation of Knowledge

Chapter 2: The Representation of Knowledge. Expert Systems: Principles and Programming, Fourth Edition. Objectives. Introduce the study of logic Learn the difference between formal logic and informal logic Learn the meaning of knowledge and how it can be represented Learn about semantic nets

1.23k views • 51 slides

Chapter 2: The Representation of Knowledge

Chapter 2: The Representation of Knowledge. Expert Systems: Principles and Programming, Fourth Edition. Objectives. Introduce the study of logic Learn the difference between formal logic and informal logic Learn the meaning of knowledge and how it can be represented Learn about semantic nets

637 views • 51 slides

LEARNING IN LOGIC WITH HYPER

LEARNING IN LOGIC WITH HYPER. Ivan Bratko Faculty of Computer and Info. Sc. University of Ljubljana, Slovenia.

636 views • 39 slides

Global-as-View and Local-as-View for Information Integration

Global-as-View and Local-as-View for Information Integration. CS652 Spring 2004 Presenter: Yihong Ding. Common Integration Architecture. Information Integration Systems Global-as-view (Gav.) vs. Local-as-view (Lav.) Query Reformulation Specification of Source Description

718 views • 36 slides

More about SQL

More about SQL. More about SELECT, Nested selects GROUP BY, HAVING, ORDER BY Other joins Aggregate functions Views. SQL2 - DML. (Q16): Sub queries (nested SELECTs) SELECT E.FNAME, E.LNAME FROM EMPLOYEE E WHERE E.SSN IN (SELECT ESSN FROM DEPENDENT WHERE ESSN = E.SSN

457 views • 36 slides

Chapter 17 Advanced Knowledge Representation

Chapter 17 Advanced Knowledge Representation. Chapter 17 Contents (1). The Blackboard Architecture Scripts The Copycat Architecture Nonmonotonic Reasoning The Modal Operator M Default Reasoning Truth Maintenance Systems Closed-World Assumption. Chapter 17 Contents (2). Circumscription

648 views • 30 slides

Chapter 17 Advanced Knowledge Representation

Chapter 17 Advanced Knowledge Representation. Chapter 17 Contents (1). The Blackboard Architecture Scripts The Copycat Architecture Nonmonotonic Reasoning The Modal Operator M Default Reasoning Truth Maintenance Systems Closed-World Assumption. Chapter 17 Contents (2). Circumscription

433 views • 30 slides

Knowledge Representation and Reasoning

Master of Science in Artificial Intelligence, 2010-2012. Knowledge Representation and Reasoning. University "Politehnica" of Bucharest Department of Computer Science Fall 2010 Adina Magda Florea http://turing.cs.pub.ro/krr_10 curs.cs.pub.ro. Lecture 1. Lecture outline Course goals

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SEA Side Software Engineering Annotations

352 views • 24 slides

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Artificial intelligence (AI) is a broad field, and means different things to different people.

1.15k views • 23 slides

Safety-Critical Systems 4 Formal Methods / Modelling

Safety-Critical Systems 4 Formal Methods / Modelling. T 79.232. Formal Methods and Safety-Critical Systems. Formal Methods are used in expressing requirements, design and analysis of a safety critical software and hardware.

396 views • 22 slides

Dr. Bhavani Thuraisingham

Building Trustworthy Semantic Webs Lecture #9: Logic and Inference Rules Dr. Bhavani Thuraisingham September 18, 2006 Objective of the Unit This unit will provide an overview of logic and inference rules component of the semantic web and then discuss some security issues

613 views • 17 slides

Lecture 17: Formal Modeling Methods

Formal Modeling Techniques Definition of FM Why use FM? Program Specification vs. Requirements Modeling Example Formal Methods: RSML SCR RML Telos Albert II Tips on formal modeling. Lecture 17: Formal Modeling Methods. Broad View (Leveson)

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Formalizing and Analyzing Feature models in Alloy

Formalizing and Analyzing Feature models in Alloy. Jing Sun Computer Science j.sun@cs.auckland.ac.nz. Outline. Feature modeling The Alloy language Formalizing feature diagram Checking feature models Conclusion and future work. Feature & Feature Modeling. Conceptual modeling perspective

369 views • 15 slides