ICIS  

Interactive Collaborative Information Systems

(duration: 01/2005 - 12/2009 /// funding: BSIK SenterNovum)

Context

References to Intelligent Systems in the scientific literature and research programs of today are mostly concerned with either autonomous robotic systems or the search for models of human cognition. Even in the field of Artificial Intelligence and Expert Systems, projects seldom focus on information systems as a whole and the support of the human component in such a system.

In addition, today's information systems are usually developed as "the programmed solution to be used by a human end-user". Even in areas such as decision support, the system's intelligence is normally hidden from that user and although "interactive", the majority of systems are not designed to support collaborative human-human and human-machine interaction by viewing the whole as a cognitive system operating in a real world environment.

Because of the migration from an industrial society to an information society, their is a noticeable shift in the importance of information technology. Daily interactions between information systems and user are now the most important fabric of the economic and social processes. This drives the quest for more intelligent information systems that can operate in a chaotic world and can match and complement the intelligence of the humans-in-the-loop.

Project Summary

The ICIS partners believe that the search for techniques and methods that help to build information systems with intelligent behaviour is one of the most critical areas in future information systems research. Among the requirements for these systems are capabilities to:

- Help the human actors to (pre)process ever increasing amounts of digital and digitized information and search for relevance, meaning and importance.
- Support a chain of activities (rather than a single function) that is focused on reaching a set of goals by acting on both the system and the environment in which the system operates.
- Be able to auto-detect and cope with changes both in the environment, the system and in the goals.
- Support reasoning with uncertainty, reasoning with risks and reasoning under a lack of knowledge, necessary because of the chaotic nature of the real world.

As an overall architecture for ICIS-type systems, the project will use a new paradigm. In particular, ICIS systems will use Actor-Agent Communities - a particular type of complex system, involving the collaboration of multiple human and artificial agents for the realization of a common mission.

The ICIS project will use a focus on one particular application domain to ensure that with a relatively limited amount of effort over a restricted period of time, a noticeable and recognizable impact of ICIS technology on society can be realized. These results however, can be used in other domains of application. In particular ICIS application domains are characterized by real-time decision making in complex, dynamic and chaotic environments.

Links

ICIS project portal CHAP flyer als onderdeel van ICIS

ICIS on D-CIS webite (project coordinator)

ICIS factsheet (SenterNovem) 

Publications

Ferro, Duco N. and Jonker, Catholijn M., Filtering Algorithm for Agent-Based Incident Communication Support in Mobile Human Surveillance, in: MATES, pages 49-60, 2008.    

Ferro, Duco N., Hoogendoorn, Mark and Jonker, Catholijn M., Ontology-based Business Activity Monitoring Agent, in: Proceedings of 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'08), IEEE Computer Society Press, 2008.
 
Mahr, Tamas, Srour, Jordan, de Weerdt, Mathijs M. and Zuidwijk, Rob, Agent Performance in Vehicle Routing when the Only Thing Certain is Uncertainty, in: Proceedings of the workshop on Agents in Traffic and Transportation (ATT), 2008.    

Ferro, Duco N., Valk, Jeroen and Salden, Alfons, A Robust Coalition Formation Framework for Mobile Surveillance Incident Management, in: Proceeding of the 4th Intelligent Human Computer Systems for Crisis Response and Management ISCRAM 2007, pages 479-488, 2007.    
 
ter Mors, Adriaan, Mao, Xiaoyu, Roos, Nico, Witteveen, Cees and Salden, Alfons,Multi-Agent System Support for Scheduling Aircraft De-icing, in: Proceeding of the 4th Intelligent Human Computer Systems for Crisis Response and Management ISCRAM 2007, pages 467-478, 2007.    

Kempen, Masja, Viezzer, Manuela, Wijngaards, Niek and Salden, Alfons, Humans and Agents Teaming for Ambient Cognition, 2006.    
 
Steenhuisen, J. Renze, Witteveen, Cees, ter Mors, Adriaan and Valk, Jeroen,Framework and Complexity Results for Coordinating Non-cooperative Planning Agents, in: MATES, pages 98-109, 2006.

Partners

TU DelftUniversiteit TwenteMaastricht University

Radboud Universiteit NijmegenVU AmsterdamUniversiteit Utrecht

TNOUvAThales

D-CIS Lab

Related topics Related topics

Almende Wraps Up ICIS Project

Almende presents it contributions to the project at the ICIS Final Event.
26/01/2010