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Home : College of Science and Engineering : School of Informatics (Schedule O) : Artificial Intelligence

Automated Reasoning (Level 11) (P01193)

? Credit Points : 10  ? SCQF Level : 11  ? Acronym : INF-P-AR

The aim of the module is to describe how reasoning can be automated. Major emphases are on: how knowledge can be
represented using logic; how these representations can be used as the basis for reasoning and how these reasoning processes
can be guided to a successful conclusion. Many of the examples are drawn from mathematics because this domain contains
lots of challenging reasoning problems which can be succinctly stated. A version of this course is available also at level 11 for students who wish to explore the mathematics of theorem proving in greater depth, with the aim of specialising in one of its many sub-fields.

Entry Requirements

? Pre-requisites : For Informatics PG students and final year MInf students only, or by special permission of the School.

? Co-requisites : Fundamentals of Artificial Intelligence (or equivalent AI course at undergraduate level).

? Prohibited combinations : Automated Reasoning (previous syllabus)

Subject Areas

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Semester 1 (Blocks 1-2)

? Contact Teaching Time : 2 hour(s) per week for 10 weeks

First Class Information

Date Start End Room Area Additional Information
25/09/2008 16:10 17:00 Seminar Room 6, Chrystal Macmillan Building Central

All of the following classes

Type Day Start End Area
Lecture Monday 16:10 17:00 Central
Lecture Thursday 16:10 17:00 Central

Summary of Intended Learning Outcomes

-represent mathematical and other knowledge using logic.
-analyze the behaviour of various reasoning techniques from "first principles" as theorem provign tasks.
-formalize informal knowledge and reason rigorously about it, understanding the role of mathematical proof in this process.
-compare precisely the tradeoffs between some rival techniques for the same reasoning task.
-implement key reasoning techniques in a computer program/theorem prover.
-know how to use more sophisticated reasoning techniques implemented in a computer program/theorem prover.
-organize their own study to manage project development.
-search and read the literature.
-conduct exploratory experiments.
-critically analyze and evaluate other people's work.
-be broadly up-to-date with current research in the field
-be up-to-date in detail with at least one significant, specific aspect of current research in the field.

Assessment Information

Written Examination 75%
Assessed Assignments 25%

Exam times

Diet Diet Month Paper Code Paper Name Length
1ST May - - 2 hour(s)

Contact and Further Information

The Course Secretary should be the first point of contact for all enquiries.

Course Secretary

Miss Gillian Watt
Tel : (0131 6)50 5194
Email : gwatt@inf.ed.ac.uk

Course Organiser

Dr Douglas Armstrong
Tel : (0131 6)50 4492
Email : Douglas.Armstrong@ed.ac.uk

Course Website : http://www.inf.ed.ac.uk/teaching/courses/

School Website : http://www.informatics.ed.ac.uk/

College Website : http://www.scieng.ed.ac.uk/

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