This page provides some course material in Computational Logic, covering both theory and practice.

Different parts of this material come from undergraduate and graduate courses taught by us at different institutions, including the IMDEA Software Institute, the Technical University of Madrid, UPM (CS/AI Depts), UT Austin (CS Dept.), and the University of New Mexico (CS and ECE Depts).

These courses have been developed and are taught by members of the CLIP group and other contributors. There is much more information available on the CLIP (Computational Logic, Languages, Implementation, and Parallelism) research group and our Computational Logic Software.

In particular, we use the Ciao Prolog system for teaching these courses, since it allows covering within one system pure logic programming, different search rules, Prolog, CLP, analysis, verification, partial evaluation, tabling, etc., but most of the programs can also be run on any system supporting ISO-Prolog, constraint libraries, etc.

Please note that these pages are all under permanent
construction/change. Suggestions, comments, questions, raves, rants,
etc., should be directed by email to
*<clip@cliplab.org>*.

**You are welcome to use all or part of this course material, we only
ask you to please quote the origin. We would also very much
appreciate if you let us know that you are using it and also that you
send us by email to the address above any error corrections or
improvements you may make to this material. Thanks in
advance.
**

## Computational Logic Slides:

#### Introduction(s):

- Introduction and Motivation. [pdf] [Code for examples.]
- Introduction and Motivation (version w/verification). [pdf] [Code for examples.]
- Some Textbooks and References. [pdf]
- Main reference: The Art of Prolog (Open Access from MIT Press).

#### Pure Logic Programming

- A "hands-on" Introduction to Logic Programming. [pdf] [Code for examples.]
- Developing Programs with a Logic Programming System [pdf]

#### Prolog

- The (ISO-)Prolog Programming Language. [pdf] [Code for examples.]
- Efficiency Issues in Prolog. [pdf]
- Intro to Prolog Implementation:

WAM tutorial, by Hassan Ait-Kaci. [Slides pdf] [Book website]

Manuel Hermenegildo's original 1989 tutorial. [slides pdf]

#### Ciao

- The Ciao Programming System. [pdf] [Download, installation, manuals.]
- The LPdoc Automatic Documenter. [pdf] [Download, installation, manuals.]
- The Ciao Preprocessor (CiaoPP). [pdf] [Download, installation, manuals.]

#### LP Theory

- Automated Deduction Fundamentals. [pdf]
- First Order Logic and Logic Programming Theory. [pdf]
- Same, but just the model and fixpoint semantics. [pdf]

#### Constraint Logic Programming

- Constraint Logic Programming. [pdf] [Code for examples - finite domains.]
- CLP: operational, model, and fixpoint semantics. [pdf]
- Constraint Programming: Solving Finite Domain Constraints. [pdf]
- Concurrent (Constraint) Logic Programming. [pdf]
- A longer. 5-day seminar on CLP.

#### Other topics

- Global Analysis by Abstract Interpretation. [pdf]
- Abstract Specialization and its Applications. [pdf]
- Parallel Execution of Logic Programs. [pdf]
- Distributed/Internet programming using LP/CLP systems. [pdf]
- WWW programming using LP/CLP systems. [pdf] [Code for examples.]
- A very brief intro to Operational and Axiomatic Semantics [pdf]

**General Note:** We used to start with basic theory
(resolution, etc..), then Logic Programming, then Prolog,
CLP(*), and Concurrent LP. Eventually, we decided to start
directly with a quick introduction to Logic Programming
and Prolog programming, presenting only afterwards theory,
CLP, and Concurrent (C)LP.
If you prefer to start with theory, just use the lp_theory
slides first and skip some slides (first order languages
and unification, mainly) from logic_programming.tex.

(One of the reasons for doing things this way is that our students take a semester of formal logic prior to this course and are therefore quite familiar with, e.g., resolution, but not with logic programming. We feel it is best for student motivation to get as quickly as possible to the practical use of the programming tools.)