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SIGNAL Résumé de rapport

Project ID: IST-2000-29225
Financé au titre de: FP5-IST
Pays: Germany

SAB02 workschop: "On growing up artifacts that live - Basic principles and future trends"

Workshop: On Growing up Artifacts that Live, Basic Principles and Future Trends
One of the most challenging features of living artifacts is the ability to grow.
One of the most interesting features of growing artifacts is the special capability to grow up.

Aim and Scope
The aim of the workshop is to enlighten basic principles and fundamental requirements to enforce artifacts that can grow up.

To "Grow Up" means, that the system starts with a basic, pre-structured set of functionalities and develops its individual capabilities during livetime in close interaction with the environment. A schedule for temporal development will drive the artefact through a well-defined sequence of stages from the infancy state to an individually matured entity. Along this sequence the artefact will learn with respect to, and in interaction with the environment, thus piling up experience, and leading to new qualitative stages of behaviour. Besides adequate learning and adaptation rules, the organisation of the memory and the modular structure of the system must be featured to enable this ontogenetic process of development.

Below you will find a brief summary of theses and principles that are said to lead to a living, up-growing artefact:
- One of the most challenging features of living artifacts is the ability to grow.

- One of the most interesting features of a growing artefact is the special capability of growing up.

- Growing up means the evolution from an infant-like pre-defined state to a fully matured entity.

- Growing up requires a special organisational structure of the entire artefact, that allows to grow up.

- Growing up requires interaction with the environment, including the interaction with other "living artifacts".

- Growing up requires the capability of learning from the experience acquired in interaction with the environment.

- Learning from experience requires a specialised structure of the underlying system.

- The specialised structure (e.g. systemic architecture) is covering: adaptive structures, learning schemes, organisation of memory and reasoning

Fundamentals from psychology, from memory organisation, from theory of learning (machine learning and psychology), underlying systemic architectures enabling the required capabilities, cognition science and behavioural knowledge and further principles are within the scope of the workshop.

The workshop will envisage, but not be limited to the topics listed below:
- Internal models and representation;
- Architectures for autonomous agents;
- Behavioural sequencing;
- Learning and development;
- Psychology of learning;
- Motivation and emotion;
- Emergent structures and behaviours;
- Evolutionary and co-evolutionary approaches;

Not only the state of the art, but actual and novel ideas and future trends are focused by this workshop.

Especially unconventional, Blue-Sky like ideas are welcome, and will be considered valuable for presentation and discussion within the workshop.

Therefore an open, hopefully, brain storming discussion will be part of the workshop. The talks and the posters will be on an open basis, encouraging scientists to present even unusual ideas.

Programme / Scientific Committee
- Alois Knoll, Technical University Munich (TUM), Germany
- Andy M. Tyrell, The University of York, United Kingdom
- Horst-Michael Gross, Ilmenau Technical University, Germany
- Tim Pearce, University of Leicester, United Kingdom
- Ulrich Rückert, University of Paderborn, Germany
- Giulio Sandini, University of Genova, Italy
- Thomas Christaller, Fraunhofer Institute AiS, Germany
- Bruno Apolloni, University of Milan, Italy
- Peter Ross , School of Computing, Napier University, Edinburgh, Scotland (UK)
- Georg Dorffner, Austrian Research Institute for Artificial Intelligence (ÖFAI), Austria
- Erich Prem , Austrian Research Institute for Artificial Intelligence (ÖFAI), Austria
- David Willshaw, Institute for Adaptive and Neural Computation, The University of Edinburgh, Scotland (UK)
- Giovanna Morgavi , Istituto per i Circuiti Elettronici, National Research Council (ICECNR), Italy
- Nils Goerke , Neuroinformatics, University of Bonn, Germany

Reported by

University of Bonn, Div of Neural Computation
Roemerstr. 164
53117 BONN
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