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ISCRIZIONE |
Self-adaptive and self-organising systems
Prof. Giovanna Di Marzo Serugendo
Birkbeck (University of London), UK
20 hours, 5 credits (final test)
April 7 - April 12, 2008
Dipartimento di Ingegneria dell'Informazione: Elettronica, Informatica, Telecomunicazioni, via Diotisalvi, meeting room
Contacts: Prof. Cinzia Bernardeschi
Abstact
This series of lessons discusses self-adaptive and self-organising systems. Self-adaptive systems follow a top-down approach evaluating their own global behaviour, while self-organising systems work bottom-up with individual components interacting locally following simple rules. This seminar reviews for both cases: concepts and definitions, adaptation mechanisms, as well as models and algorithms. It also presents specific applications and provides an overview of existing simulation tools.
Syllabus
Motivation
Self-Adaptation
- Concepts and Definitions
- Control Theory
- Grid Computing
- Autonomic Computing
- Self-* Systems
Self-Organisation
- Concepts and Definitions
- Natural Systems
- Biological Systems (cells, immune systems)
- Social Collective Behaviour (ants, swarms)
- Social Networks
- Economic Systems
- Adaptation Mechanisms
- Stigmergy
- School of Fish
- Reinforcement Learning
- Models and Algorithms
- Amorphous Computing (Cellular Computing)
- Collective Intelligence (COIN)
- Swarm Intelligence (ant colony optimisation, ACO; particle swarm intelligence, PSO)
- Immune Systems
- Evolutionary Algorithms
- Complex Networks
Engineering Distributed Adaptive Systems
- Autonomous Agents
- Adaptation Mechanisms
- Middleware Infrastructures
- Methodologies and Tools
Application Domains
- Self-Generative Art
- P2P / Networks
- Robotics
- Data Clustering
- Simulations and Games
Simulation Tools 