Course Details for A.Y. 2014/2015

The information on this page refer to the academic year 2014/2015. Therefore, several links are not available and data may be incomplete. To read the current information on the course, if it is still available, go to the university course catalogue . To read information relating other academic years, use the list at the bottom of this page.

A. Year:

2014/2015

Name:

Agenti Intelligenti / Intelligent Agents

Type:

Module

Main course:

Intelligenza Artificiale / Artificial Intelligence

Basic information

Code:

F0070

Sector:

INF/01

Credits:

: Master Degree in Computer Science 6 CFU (b)

Term:

2^nd semester

Degree(s):

Master Degree in Computer Science 1^st anno curriculum General Compulsory

Language:

English

Teacher(s):

Stefania Costantini

Same as:

Agenti Intelligenti
Artificial Intelligence II
Rappresentazione ed Elaborazione della Conoscenza

Course Objectives

Students will learn concepts, languages, tools and methodologies for developing intelligent agents and multi-agent systems. The Course includes practical developments with existing languages.

Course Content

Introduction: the agent metaphor, agent-oriented paradigm, agent architectures.
Agent Communications: survey on Speech-Act Theory, ACL Languages, the Commitment model.
The logic agent-oriented languages DALI and AgentSpeak
Knowledge representation and resoning in agent systems: Actions and planning - Assumption-based reasoning - Using uncertain knowledge
Coordination models in multi-agent systems
Concrete Architectures and Applications

Learning Outcomes (Dublin Descriptors)

On successful completion of this course, the student should

Acquiring knowledge and understanding about what is a software agent and a Multi-Agent-System (MAS), how it is constructed and which are the applications.
Applying knowledge and understanding to the implementation of agents and MASs for concrete applications, also in interdisciplinary fields.
Making informed judgments and choices about technologies, methods and tools to empoy in real-world application, and about suitability of the agent tecnology in actual application fields.
Communicatng knowledge and understanding about the usefulness and impact of agents and MASs in technology and society.
Capacities to continue learning about future developments of the field and about new application potentials.

Prerequisites and Learning Activities

This Course is based on Computational Logic. It is required to have basic notions of irst-order logic and prolog, and it is necessary to possess notions of basic Artificial Intelligence, that can be obtained by following the Artificial Intelligent I module or an equivalen Course, or by autonomous study.

Assessment Methods and Criteria

Written and oral tests, and a mandatory implemented project assigned by the Teacher.

Textbooks

D. Poole, A. Mackworth and R. Goebel, Computational Intelligence: a Logic Approach , Oxford Univ. Press.. http:// www.cs.ubc.ca/spider/poole/ci.html
R. Kowalski, How to Be Artificial Intelligent, the Logical Way (available online on the author's web site) http://www-lp.doc.ic.ac.uk/UserPages/staff/rak/rak.html
materiale fornito sul sito web del docente

Notes

It is mandatory to follow the Intelligent Agents module after the Artificial Intelligence I module, as the contents are propedeutical to each other.

Internet Resources

Homepage:

http://www.di.univaq.it/stefcost/AI2.htm

Course page updates

This course page is available (with possible updates) also for the following academic years:

To read the current information on this course, if it is still available, go to the university course catalogue .

Course information last updated on: 26 ottobre 2014, 12:08