CODE 90545 ACADEMIC YEAR 2024/2025 CREDITS 6 cfu anno 2 COMPUTER SCIENCE 10852 (LM-18) - GENOVA 6 cfu anno 2 COMPUTER ENGINEERING 11160 (LM-32) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR INF/01 LANGUAGE English TEACHING LOCATION GENOVA SEMESTER 1° Semester TEACHING MATERIALS AULAWEB OVERVIEW Multiagent systems (MASs) have emerged as one of the most important areas of research and development in information technology and represent one of the most significant contributions of Distributed Artificial Intelligence. 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. The adoption of symbolic languages and approaches to model and implement agents will allow students to be exposed to the most significant characteristics of Symbolic Artificial Intelligence in a concrete and constructive way. AIMS AND CONTENT LEARNING OUTCOMES 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. AIMS AND LEARNING OUTCOMES At the end of the course, students will be 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; -- obtain a good command on programming languages for implementing cognitive agents, based on symbolic, declarative approaches (Prolog) -- understand the main application areas of agent-based solutions. Students interested in (and deemed suitable to, based on the outcomes on an initial quiz) attending the course in an innovative modality and in improving their soft skills, will also get the following transversal skills: -- personal skills, basic level -- social skills, basic level -- creative design, advanced level PREREQUISITES The student should know the basics of First Order Logic and of Java programming TEACHING METHODS Frontal lessons (24 hours) and laboratories (8 hours). One individual project on a topic must be developed at the end of the course. For students involved in the innovative teaching activities, the following teaching modalities will be employed: - world café - creative individual project (the specification of the project is invented by students and is validated by teachers) SYLLABUS/CONTENT 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): -- Logic programming as the foundation of cognitive agents programming -- Jason Agent-based modeling and simulation -- NetLogo MAS infrastructures -- JADE, PADE, and similar infrastructures Distributed AI: some among the following classical issues, also based on the students preferences -- Uninformed search -- Informed search -- Planning -- Games RECOMMENDED READING/BIBLIOGRAPHY The scientific papers at the state of the art, the slides and the further teaching material provided during the course are enough for following it. TEACHERS AND EXAM BOARD VIVIANA MASCARDI Ricevimento: Appointment by email Office: Valle Puggia – third floor Exam Board VIVIANA MASCARDI (President) FILIPPO RICCA ARNAUD HENRI PAUL SANGNIER (President Substitute) LESSONS LESSONS START In agreement with the calendar approved by the Degree Program Board of Computer Science. Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION The exam will consist in a quiz with closed questions, a written part (traditional open questions, exercises) plus an individual project (requiring about 1 man/week to be completed) whose outcomes must be presented in oral form. The written part can be accessed only if the quiz has been passed. The teachers can complement the parts above with an oral exam. ASSESSMENT METHODS 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 (quiz and written part) -- understand the key issues associated with constructing agents capable of intelligent autonomous action, and the main approaches taken to developing such agents (quiz, written part, individual project) -- understand the key issues and approaches to high-level communication in multiagent systems (quiz and written part); -- obtain a good command on programming languages for implementing cognitive agents, based on symbolic, declarative approaches (quiz, written part, individual project) -- understand the main application areas of agent-based solutions (quiz, written part, individual project). OpenBadge PRO3 - Soft skills - Creazione progettuale avanzato 1 - A PRO3 - Soft skills - Sociale base 1 - A PRO3 - Soft skills - Personale base 1 - A