News

18.02.2012

SeMa² - a Hybrid Semantic Service Matching Approach

Book Chapter Release Announcement

18.01.2012

Distributed Optimization of Energy Costs in Manufacturing using Multi-Agent System Technology

Upcoming Talk - 2nd Intl. Conference on Smart Grids, Green Communications and IT Energy-aware...

18.01.2012

Strategic Behavior in a Living Environment

Best Paper Nomination - Winter Simulation Conference (WSC)

18.01.2012

Integrating Process Modelling Into Multi-Agent System Engineering

Article released - MAGS Journal

16.01.2012

W2V2G Algorithms for sustainable EV Energy Management Systems

Paper accepted - IEEE International Electric Vehicle Conference

 
 
 
12.01.2012 16:21 Age: 42 days

An Agent-based Augmented Reality Demonstrator in the Domestic Energy Domain

Paper Accepted ­- PAAMS 2012

The demonstration paper "An Agent-based Augmented Reality Demonstrator in the Domestic Energy Domain" has been accepted for presentation at the 10th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS) (http://www.paams.net/). PAAMS provides an international forum to present and discuss the latest scientific developments and their effective applications, to assess the impact of the approach, and to facilitate technology transfer. The demonstration paper describes how the JIAC V framework can be used for a comfortable and accelerated development of user interfaces for software agents. 

Authors: Sebastian Ahrndt, Johannes Fähndrich, Marco Luetzenberger, Andreas Rieger, and Sahin Albayrak

Abstract: In this work we propose an approach for comfortable and accelerated development of user interfaces for software agents. We apply model-based techniques and emphasise the capability of this technique by describing two user interfaces which are different in nature, but have been developed with the same model. We present the applicability of both user interfaces by means of an agent-based application in the domestic energy domain. As opposed to similar approaches we retain all degrees of freedom for the applied multi-agent framework.