69897 - Autonomous Systems

Course Unit Page

SDGs

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

Quality education Industry, innovation and infrastructure

Academic Year 2019/2020

Learning outcomes

The course is aimed at illustrating the main computational paradigms, models, technologies and methods for the engineering of autonomous systems. In particular, the courses focuses on the following themes, by experimenting with the corresponding case studies:

  • the notion of autonomy in software systems and in artificial systems in general
    • case: Autonomic Computing
  • intelligence & autonomy: intelligent agents
    • case: Web Intelligence, individual & social intelligence in MAS
  • adaptivity & self-organisation
    • cases: Pervasive Systems, Swarm Intelligence, Stigmergy Coordination, stochastic systems

Course contents

  • The concept of autonomy in software systems and in artificial systems in general
    • Autonomy in biology, philosophy, sociology, law
    • The different meanings of autonomy in artificial systems and software systems
      • Case: Autonomic Computing
  • Intelligence and autonomy in software systems
    • Intelligent agents
      • Case: architectures for intelligent agents
    • Intelligent agent systems
      • Cases: coordinated systems, agents and artifacts, Web Intelligence, Workflow Management, electronic Institutions
    • Social and collective intelligence
      • Cases: Swarm Intelligence, Stigmergy Coordination, stochastic systems
    • Adaptability and self-organisation
      • Cases: Pervasive Systems, Self-Organising Coordination
  • Technologies for autonomous systems
    • Logical agents in tuProlog
    • Intelligent agents in JADE, Jason and CArtAgO
    • Workflow, coordinated, adaptive, stochastic, and self-organising systems in TuCSoN e ReSpecT

Readings/Bibliography

The bibliography is made available through the course web site.

Teaching methods

  • Lessons with slides
  • Examples discussed and built by the teacher and by experts from the field
  • Lab activity

Assessment methods

The assessment of the learning achievements is organised around the development of an individual/group project, which results in the production of suitable artefacts, either documental or software.

The final test consists in the oral discussion of the project.

Teaching tools

Links to further information

http://apice.unibo.it/xwiki/bin/view/Courses/Sa

Office hours

See the website of Andrea Omicini