Chairperson: Miguel Angel Patricio Co-Chairs: Luis Usero and Angel Arroyo
Making
systems artificially intelligent expands their scope of applicability
in manufacturing industry, defense, investment, banking, biosciences,
and in the home, by permitting reasoned reactions to environmental
variations and collaborative interactions with other systems. The aim
of this session is to explore the use of reasoning and cooperating
techniques to improve perception systems. This approach enables to
combine streams of sensory data and reasoning and cooperative models to
produce an adaptive, composite impression of surroundings in near
real-time. Machine perception systems represent a big challenge, as
they combine the vantages of a machine and the human perception
capability and hence are able to perform even complex tasks
autonomously.This special session is intended to create an
atmosphere of exchange of ideas, providing a forum for the presentation
and discussion of the key topics related to reasoning and cooperative
models applied to automatic perception systems. Presentation topics in
this session are:
- Active Perception
- Information Fusion
- Perception
Applications
- Cooperative Models
- Multiagent Systems
- Reasoning Models applied to Perception Systems
- Sensor Processing
International
Work-conference on the
Interplay between Natural and Artificial Computation
