- Docente: Andrea Omicini
- Credits: 6
- SSD: ING-INF/05
- Language: English
- Moduli: Andrea Omicini (Modulo 1) Giovanni Ciatto (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Cesena
- Corso: Second cycle degree programme (LM) in Computer Science and Engineering (cod. 8614)
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from Feb 20, 2024 to May 22, 2024
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from Mar 26, 2024 to May 07, 2024
Learning outcomes
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.
Course contents
- 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
Readings/Bibliography
The bibliography is made available through the course web site.
Teaching methods
- Lessons with slides
- Examples discussed and built by the teachers
- Lab activity
Assessment methods
- Verification of lab activity
- Presentation and discussion of an individual/group project
Teaching tools
- web site of the professor
- web page of the course with slides (PDF), other materials and useful links
Links to further information
https://apice.unibo.it/xwiki/bin/view/Courses/Series/Ise/
Office hours
See the website of Andrea Omicini
See the website of Giovanni Ciatto
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.