Authors:
Antonis Bikakis
1
;
Patrice Caire
2
;
Keith Clark
3
;
Gary Cornelius
2
;
Jiefei Ma
3
;
Rob Miller
1
;
Alessandra Russo
3
and
Holger Voos
2
Affiliations:
1
University College London, United Kingdom
;
2
University of Luxembourg, Luxembourg
;
3
Imperial College London, United Kingdom
Keyword(s):
Assisted Living, Distributed Reasoning, Evidence Gathering, Explanation Generation, Service Robots.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Ambient Intelligence
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation and Reasoning
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Reactive AI
;
Soft Computing
;
Software Engineering
;
Symbolic Systems
Abstract:
An ageing population with increased social care needs has provided recent impetus for research into assisted living technologies, as the need for different approaches to providing supportive environments for senior citizens becomes paramount. Ambient intelligence (AmI) systems are already contributing to this endeavour. A key feature of future AmI systems will be the ability to identify causes and explanations for changes to the environment, in order to react appropriately. We identify some of the challenges that arise in this respect, and argue that an iterative and distributed approach to explanation generation is required, interleaved with directed data gathering. We further argue that this can be realised by developing and combining state-of-the art techniques in automated distributed reasoning, activity recognition, robotics, and knowledge-based control.