Frontiers of Autonomous Systems 2017/2018

pages
general information on the course

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
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 course 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
readings / bibliography

The bibliography is made available through the course web site.

teaching methods
  • Lessons with slides
assessment methods

Oral test

teaching tools