'Model theory' diaporamas de présentation

Kleene Algebra with Tests (Part 2: Applications)

Kleene Algebra with Tests (Part 2: Applications). Dexter Kozen Cornell University Workshop on Logic & Computation Nelson, NZ, January 2004. These Lectures. Tutorial on KA and KAT model theory complexity, deductive completeness relation to Hoare logic Practical applications

927 views • 80 slides

Natural Logic?

621 views • 61 slides

Artificial Intelligence SS 2017

Artificial Intelligence SS 2017. Inductive Logic Programming Anna Fensel 29.05.2017. Where are we?. Agenda. Motivation Technical Solution Model Theory of ILP A Generic ILP Algorithm Proof Theory of ILP ILP Systems Illustration by a Larger Example Summary References. MOTIVATION. 4.

743 views • 54 slides

Intelligent Systems

Intelligent Systems. Inductive Logic Programming. Where are we?. Agenda. Motivation Technical Solution Model Theory of ILP A Generic ILP Algorithm Proof Theory of ILP ILP Systems Illustration by a Larger Example Summary References. MOTIVATION. 4. Motivation.

784 views • 54 slides

Artificial Intelligence

Artificial Intelligence. Inductive Logic Programming. Where are we?. Agenda. Motivation Technical Solution Model Theory of ILP A Generic ILP Algorithm Proof Theory of ILP ILP Systems Illustration by a Larger Example Summary References. MOTIVATION. 4. Motivation.

647 views • 54 slides

Combining Logic and Probability

Combining Logic and Probability. Can logic be combined with probability? Trivially yes: logic can be combined with anything. Slightly less trivially, logic is already involved in constraining probabilities: certain deductive relationships have to be respected.

702 views • 45 slides

Type Systems and Object-Oriented Programming

Type Systems and Object-Oriented Programming. John C. Mitchell Stanford University. Plan for these lectures. Foundations; type-theoretic framework Principles of object-oriented programming Decomposition of OOP into parts Formal models of objects . Goals.

547 views • 35 slides

Type Systems and Object-Oriented Programming

Type Systems and Object-Oriented Programming. John C. Mitchell Stanford University. Plan for these lectures. Foundations; type-theoretic framework Principles of object-oriented programming Decomposition of OOP into parts Formal models of objects . Goals.

505 views • 35 slides

The use of the scientific method in Psychology

The use of the scientific method in Psychology. A2 Psychology. Introduction. Psychologists, like all scientists, use the Scientific Method to produce valid explanations of the world around them. This method has both advantages and disadvantages. The Scientific Method.

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412 views • 31 slides

OWL Briefing

OWL Briefing. Frank van Harmelen Vrije Universiteit Amsterdam. concepts, properties, relations, functions . Consensual knowledge. machine processable. Abstract model of some domain. Shared content-vocabularies: Ontologies. Formal, explicit specification of a shared

375 views • 29 slides

OWL Briefing

OWL Briefing. Frank van Harmelen Vrije Universiteit Amsterdam. concepts, properties, relations, functions . Consensual knowledge. machine processable. Abstract model of some domain. Shared content-vocabularies: Ontologies. Formal, explicit specification of a shared

377 views • 29 slides

DMSO Workshop on Composable M&S 7-9-2002 Two Aspects of Composability: Lexicon and Theory Mikel D. Petty, Ph.D., Chi

DMSO Workshop on Composable M&S 7-9-2002 Two Aspects of Composability: Lexicon and Theory Mikel D. Petty, Ph.D., Chief Scientist Virginia Modeling, Analysis and Simulation Center Old Dominion University mpetty@vmasc.odu.edu 757-686-6210. Presentation outline ? Composability lexicon

489 views • 27 slides

Finite Model Theory

Finite Model Theory. Lecture 1: Overview and Background. Motivation. Applications: DB, PL, KR, complexity theory, verification Results in FMT often claimed to be known Sometimes people confuse them Hard to learn independently Yet intellectually beautiful

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SB81/ROCK What Makes Evaluation So Important?

California Probation Parole and Correctional Association 77th Annual Training Conference. SB81/ROCK What Makes Evaluation So Important?. September 18, 2008 Prepared by Urban Strategies Council Evaluation Team Steve Spiker, Director of Research Bill Heiser, Research and Program Associate

315 views • 19 slides

356 views • 19 slides

Issues

Experiences Gained from Experimentation in Software Courses at the University of Maryland Vic Basili University of Maryland. Issues. Courses available for experimentation Benefits and Issues with classroom experiments Training in experimentation. Software Engineering Courses.

360 views • 19 slides

Holly Wang Workshop at CAU December 15, 2010

Conducting Empirical Research and Publishing in International Journals. Holly Wang Workshop at CAU December 15, 2010. Procedures of Conducting Empirical Research. Choose your topic Build a team Review literature Economic models Collect and clean data Econometric method Analyze

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Predicate Calculus

195 views • 9 slides