Workshop on Artificial Intelligence Technologies in Resource-Constrained Devices
March 28th-30th, 2012
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The copyright's data for the PAAMS 2012 Workshops volume (except CONTEXTS'12) are:
- TITLE: Trends in Practical Applications of Agents and Multi-Agent Systems. 10th International Conference on Practical Applications of Agents and Multi-Agent Systems
- EDITORS: Juan M. Corchado, Javier Bajo, Paulina Golinska, Sylvain Giroux and Rafael Corchuelo (Eds.)
- Download pre-filled form for PAAMS'12 workshops
More information: http://www.paams.net/?q=node/32
This workshop is aimed at the integration of artificial intelligence technologies in devices with constrained resources (microcontroller, memory, battery, communications, etc.) such as embedded systems, sensors, PDAs, mobile and smart phones.
The concept of the Internet of Things refers to a world with plenty of small autonomous devices capable of acting autonomously and cooperating with the rest in a seamless and flexible manner. In such a world, there is a need to give special attention to a number of heterogeneous platforms and execution environments with special needs and limitation. It is clear that artificial intelligence techniques may help in the engineering process of developing applications and services for the Internet of Things, and specially to such specific hardware. The purpose of the ARCD workshop is to foster discussion about the use of Artificial Intelligence technologies in the scope of resource-constrained devices such as embedded systems, sensors, and hand held devices like PDAs or smart phones. Artificial intelligence techniques considered interesting are those concerned with -Automatic Reasoning -Machine Learning -Intelligent Agents and Multi-Agent Systems -Ontology technology -Intelligent control -Management of uncertainty and vagueness of information -Soft Computing among others, and the areas of applications refer to -Activities of daily living -Coordination mechanism for distributed decision taking -Context aware computing -Ubiquitous computing -Resource aware computing among others.
In Wireless Sensor Networks (WSNs), sensor nodes can be used for continuous sensing, event detection, event identification, location sensing and local control of actuators. The range of applications of WSNs is very wide and includes intelligent agriculture, industrial control and monitoring, environmental monitoring systems, surveillance, health monitoring, traffic monitoring, etc. Nowadays, there is a persistent trend to include more and more functionalities into sensors in order to apply them in complex systems. In this sense, sensors with intelligent capabilities have been proposed and several Soft Computing (SC) technologies are being applied to WSNs.
We are looking for theoretical and practical contributions related with new designs, programming tools and applications of the mentioned technologies within the scope of these devices.