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The course is aimed at illustrating the main computational paradigms, models, technologies and methods for the engineering of autonomous systems. In particular, the course 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 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
Autonomous Systems 2020/2021 • 
Compulaw: Law-by-Design & Machine Law (14/05/2019) — Giuseppe Contissa 
