Download Presentazione di PowerPoint

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Electronic engineering wikipedia , lookup

Transcript
DAU initiative in cooperation with EUNITE
WORKSHOP
intelligent planning:
advancements in the environmental domain
Politecnico di Bari, September 2004
What is EUNITE?
European Network of Excellence on Intelligent Technologies
for Smart Adaptive Systems
(Fifth RTD Framework Programme)
EUNITE aims to join forces of Intelligent Technologies for exploiting the
potential of their synergies towards building Smart Adaptive Systems and
promote their practical implementations.
EUNITE is intended to encourage the joint exploitation of intelligent
systems techniques and activities that intent to build Smart Adaptive
Systems in industry by:
•Promoting the dialogue between the separate research communities of
Intelligent Technologies
•Shorten the lead time from scientific innovation to actual applications in
industry or economy via technology transfer actions
•Encourage new enterprises coming into this area with success stories and
best practice information
•Strengthen European training activities and collaboration
The workshop
The WS aims at increasing the convergence of different research fields
towards common scientific efforts exploring the border line between the
domains of Intelligent Planning (industrial, business and robotics oriented)
and Environmental Engineering (environmental control and monitoring,
air/water/soil quality management, environmental planning).
The WS will encourage theoretical and practical reflections mainly
considering that intelligent planning in environmental domains requires
different adaptation abilities covering all the four adaptivity forms described
by Sagasti (1970):
• External adaptation, adaptive behaviour in the presence of a stimulus
originating from its environment;
• Internal adaptation, adaptive behaviour in the presence of a disturbance
located in the object of the system;
• Darwinian adaptation, adaptive behaviour when the response is directed
towards modifying its object;
• Singerian adaptation, adaptive behaviour when the response is directed
towards modifying its environment.
Operatively, the WS will focus on two main research areas:
1. the planning problem – reframing intelligent planning models from the
toy blocks world to the real world;
2. multi agent systems (MAS) – requirements for adaptation abilities.
These two areas will be explored referring to two main issues typical of
environmental domains:
a. management of scarce environmental resources;
b. future scenarios building.
A dialogue framework will be provided to the speakers who will be invited
to reflect on specific problems posed by the crossing of the above specified
themes according to the following scheme:
Scarce environmental
resources management
Future Environmental
Scenarios building
Planning: from toy blocks
world to real world
WS track A1
WS track A2
Adaptation in
Multiagent Systems
WS track B1
WS track B2
The WS, in the final phase, will be addressed to develop a road map of
future development opportunities both for scientific research and
technological applications.
A second main goal of the WS is the publication of a book.
Tentative list of possible invited
participants:
EUNITE MEMBERS:
Davide Anguita
University of Genova
Mario Fedrizzi
University of Trento
Alexis Tsoukias
University of Paris
Xin Yao
University of Birmingham
H.J. Zimmermann
Elite Foundation, Aachen
NON EUNITE MEMBERS:
Michael Batty
Centre for Advanced Spatial Analysis
University College London
Susanne Biundo
(coordinator of PLANET Network of Excellence)
Dept. of Artificial Intelligence
University of Ulm
Avrim L. Blum or Manuela M. Veloso
Department of Computer Science
Carnegie Mellon University, Pittsburgh
McCluskey Thomas Leo
School of Computing and Engineering,
University of Huddersfield
Martha E. Pollack
Dept. of Electrical Engineering and Computer Science
College of Engineering, University of Michigan
any suggestion, help, collaboration is welcome!!!!
Dino Borri