Authors:
M. J. O’Grady
1
;
G. M.P. O’Hare
1
;
R. Tynan
1
;
R. W. Collier
2
and
C. Muldoon
2
Affiliations:
1
CLARITY: Centre for Sensor Web Technologies, School of Computer Science & Informatics, University College Dublin, Ireland
;
2
School of Computer Science & Informatics, University College Dublin, Ireland
Keyword(s):
Ambient Intelligence, Embedded agents, Human-centered computing.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Human-Machine Cooperation
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Mobile Technologies
;
Mobile Technologies for Healthcare Applications
;
Multi-Agent Systems
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Software Engineering
;
Symbolic Systems
Abstract:
Supporting people in the pursuit of their everyday activities is a laudable objective and one which researchers in various disciplines including computing, actively seek to accomplish. The dynamic nature of the end-user community, the environments in which they operate, and the multiplicity of tasks in which they engage in, all seem to conspire against the desired objective of providing services to the end-user community in a transparent, intuitive and context-aware fashion. Indeed, this inherent complexity raises fundamental problems for software engineers as they frequently lack the tools to effectively model the various scenarios that dynamic user behaviour give rise to. This difficulty is not limited to exotic applications or services; rather, it is characteristic of situations where a number of factors must be identified, interpreted, and reconciled such that an accurate model of the prevailing situation at a given moment in time can be constructed. Only in this way, can servic
es be delivered that take into account the prevailing human, social, environmental and technological conditions. Constructing such services calls for a software solution that exhibits, amongst others, diffusion, autonomy, cooperation and intelligence. In this paper, the potential of embedded agents for realising such solutions is explored.
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