Salta al contenuto principale della pagina

MULTIAGENT SYSTEMS

CODICE 90545
ANNO ACCADEMICO 2022/2023
CFU
  • 6 cfu al 2° anno di 10852 COMPUTER SCIENCE (LM-18) - GENOVA
  • SETTORE SCIENTIFICO DISCIPLINARE INF/01
    LINGUA Inglese
    SEDE
  • GENOVA
  • PERIODO 1° Semestre
    MATERIALE DIDATTICO AULAWEB

    PRESENTAZIONE

    Multiagent systems (MASs) have emerged as one of the most important areas of research and development in information technology. A MAS is composed of multiple interacting software components (agents) capable of cooperating to solve problems that are beyond the abilities of any individual member.

    This course will introduce the students to the notion of an agent, and will lead them to understanding what an agent is, how they can be constructed, how agents can be made to cooperate effectively.

    OBIETTIVI E CONTENUTI

    OBIETTIVI FORMATIVI

    Getting acquainted with the concept of an agent and multiagent system, and learning how to design intelligent autonomous agents and how to deal with the main implementation issues.

    OBIETTIVI FORMATIVI (DETTAGLIO) E RISULTATI DI APPRENDIMENTO

    Upon completing this course, a student will:
    -- understand the notion of an agent, how agents are distinct from other software paradigms (e.g., objects), and understand the characteristics of applications that lend themselves to an agent-oriented solution;
    -- understand the key issues associated with constructing agents capable of intelligent autonomous action, and the main approaches taken to developing such agents;
    -- understand the key issues and approaches to high-level communication in multiagent systems;
    -- understand the main application areas of agent-based solutions.

    MODALITA' DIDATTICHE

    Traditional: frontal lessons and laboratories

    PROGRAMMA/CONTENUTO

    Introduction to agents and MASs
    -- What is an agent, what is a MAS
    -- History of agents and MASs
    -- Agent-oriented software engineering

    Communication as action
    -- Foundations of the speech acts theory
    -- Issues in communication
                
    Agent-oriented programming (AOP): the foundations              
    -- Jason
                
    Agent-based modeling and simulation
    -- NetLogo

    MAS infrastructures         
    -- JADE

    Distributed AI: some classical issues 
    -- Uninformed search
    -- Informed search
    -- Planning

    TESTI/BIBLIOGRAFIA

    The slides and the teaching material provided during the course is enough for following it

    DOCENTI E COMMISSIONI

    Commissione d'esame

    VIVIANA MASCARDI (Presidente)

    FILIPPO RICCA

    ANGELO FERRANDO (Presidente Supplente)

    LEZIONI

    Orari delle lezioni

    L'orario di tutti gli insegnamenti è consultabile su EasyAcademy.

    ESAMI

    MODALITA' D'ESAME

    The exam will consist in a quiz, a written part (traditional open/closed questions, exercises) plus an individual project (requiring about 1 man/week to be completed).

    MODALITA' DI ACCERTAMENTO

    The acquisition of the skills foreseen by this course are assessed via the quiz + written exam + the project which have been carefully designed to allow the teacher to verify whether a student is actually able to:
    -- understand the notion of an agent, how agents are distinct from other software paradigms (e.g., objects), and understand the characteristics of applications that lend themselves to an agent-oriented solution;
    -- understand the key issues associated with constructing agents capable of intelligent autonomous action, and the main approaches taken to developing such agents;
    -- understand the key issues and approaches to high-level communication in multiagent systems;
    -- understand the main application areas of agent-based solutions.