Università di Bologna · Prof. A. Omicini (Module 1), Prof. G. Ciatto (Module 2) · A.Y. 2025/2026

Intelligent Systems Engineering

16 chapters~11 hours of study88 interactive widgets
The course arc: drivers frame the field, autonomy and intelligence build the agent theory, logic and reasoning make it computational, tools and case studies make it concrete, seminars turn the student into a researcher. FRAMING drivers (ch. 1) AUTONOMY agents (ch. 2–4) INTELLIGENCE BDI, reasoning (ch. 5–7) LOGIC & PLANNING (ch. 8–10) TOOLS & CASES Jade, Jason (ch. 11–13) SEMINARS (ch. 14–16) literature, survey method, explainability FROM DRIVERS TO RESEARCH PRACTICE one arc: what drives artificial systems → how agents are built → how to study the field itself
Plate 00 — The whole course in one figure: six parts, from the drivers of artificial systems to the seminars on research practice.

How to study

I

Framing the field

  1. 01Drivers for artificial systems30 min · 4 widgets
II

Autonomy

  1. 02Autonomy in living systems28 min · 4 widgets
  2. 03Sorts and levels of autonomy35 min · 5 widgets
  3. 04Agents: encapsulating autonomy and intelligence30 min · 4 widgets
III

Intelligence

  1. 05Intelligence in living systems28 min · 4 widgets
  2. 06Artificial intelligence: a bird’s eye view30 min · 4 widgets
  3. 07Reasoning agents: intentional systems and BDI45 min · 5 widgets
IV

Logic, reasoning and planning

  1. 08Logic, computation and Prolog50 min · 6 widgets
  2. 09Automated reasoning50 min · 7 widgets
  3. 10Planning for intelligent agents55 min · 9 widgets
V

Tools, artefacts and case studies

  1. 11Agents & tools60 min · 9 widgets
  2. 12Simple agents in Jade35 min · 5 widgets
  3. 13Intentional agents in AgentSpeak(L) & Jason55 min · 7 widgets
VI

Seminars

  1. 14What is scientific literature?30 min · 4 widgets
  2. 15Systematic literature review: a methodology for scientific surveys35 min · 5 widgets
  3. 16Towards agent explainability45 min · 6 widgets