- Docente: Andrea Omicini
- Crediti formativi: 6
- SSD: ING-INF/05
- Lingua di insegnamento: Inglese
- Moduli: Andrea Omicini (Modulo 1) Giovanni Ciatto (Modulo 2)
- Modalità didattica: Convenzionale - Lezioni in presenza (Modulo 1) Convenzionale - Lezioni in presenza (Modulo 2)
- Campus: Cesena
- Corso: Laurea Magistrale in Ingegneria e scienze informatiche (cod. 8614)
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Orario delle lezioni (Modulo 1)
dal 20/02/2024 al 22/05/2024
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Orario delle lezioni (Modulo 2)
dal 26/03/2024 al 07/05/2024
Conoscenze e abilità da conseguire
At the end of the course, students get acquainted with the fundamental issues of intelligent systems, the most relevant computational models and technologies, and the most effective methods. In particular, students become familiar with the fittest solutions, languages, technologies, architectures, and methodologies to design intelligent systems, and are capable of - devising the problems requiring artificial intelligence techniques for their solution; - determining the most proper conceptual and methodological approaches; - selecting and integrating the fittest technologies for implementing the solutions detected.
Contenuti
- Case Studies
- ChatGPT—Beyond the Turing Test
- Autonomy in Biology
- Programming Intentional Agents in AgentSpeak(L) & Jason
- Natural Language Processing
- General Issues of Intelligent Systems
- Drivers for Intelligent Systems
- On Autonomy. Concepts & Definitions
- Agents for Intelligent Systems Engineering
- Artificial Intelligence. A Bird’s Eye View
- Automated Reasoning
- Reasoning Agents
- Logic & Computation
- Planning for Intelligent Agents
- Self-Organising Systems
- Nature-Inspired Coordination & Self-Organisation
- Interacting with Autonomous Systems: Conversational Informatics
- Simulation & Multi-Agent Systems: An Introduction
- Scientific Competences
- Sources of Scientific Literature for Intelligent & Autonomous Systems
- Systematic Literature Review. A Methodology for Scientific Surveys
- Technologies for Intelligent Systems
- Knowledge Representation
- Inference
- Perception and Actuation
- Planning with STRIPS
- Programming Intentional Agents: Exercises in Jason
- eXplainable Artificial Intelligence (XAI): A Gentle Introduction
Testi/Bibliografia
The bibliography is made available through the course web site.
Metodi didattici
- Lessons with slides
- Examples discussed and built by the teachers
- Lab activity
Modalità di verifica e valutazione dell'apprendimento
- Verification of lab activity
- Presentation and discussion of an individual/group project
Strumenti a supporto della didattica
- web site of the professor
- web page of the course with slides (PDF), other materials and useful links
Link ad altre eventuali informazioni
https://apice.unibo.it/xwiki/bin/view/Courses/Series/Ise/
Orario di ricevimento
Consulta il sito web di Andrea Omicini
Consulta il sito web di Giovanni Ciatto
SDGs
L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.