Learning outcomes

The course is aimed at surveying the main computational paradigms, models, technologies and methods for the engineering of autonomous systems. In particular, the courses focuses on the following macro-themes:

  • the notion of autonomy in biological systems, artificial systems, and software systems
  • intelligence & autonomy: intelligent agents
  • system autonomy: coordination and self-organisation

Course contents

  • Autonomy of Biological Systems
    • Evolutionary Biology
    • Biological Autonomy
    • Autonomy & Evolution
  • Autonomy of Artificial Systems
    • Premises
    • On the Notion of Autonomy
    • Intentional Agents
  • System Autonomy & Self-Organisation
    • Autonomy in Complex Artificial Systems
    • Coordination for Self-Organisation & System Autonomy

Outcomes

Tags:

Course

— a.y.

2017/2018

— credits

1

— cycle

2nd cycle

— language

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Teachers

— professor

Andrea Omicini

Context

— university

Alma Mater Studiorum-Università di Bologna

— campus

Bologna

— department / faculty / school

Collegio Superiore

URLs & IDs

AMS Page
Course Timetable

— course ID

86593

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