Enhancing the representation of the construct of Human Mental

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Ciência sem Fronteiras (Science Without Borders)
DIT PhD Project
Supervisor name & contact details:
Name
Email
Luca Longo
luca.longo@dit.ie
Supervisors Profile:
Web-link www.researchgate.net/profile/Luca_Longo/
Research Centre (if applicable):
The Applied Intelligence Research Centre
The Applied Intelligence Research Centre researches
the application of computational intelligence
technologies to real world problems. The core
competencies of the AIRC include machine learning,
language technologies, intelligent agents and data
analytics.
Research Centre website (if applicable):
http://www.comp.dit.ie/aigroup/
Supervisors Publication List:
http://www.researchgate.net/profile/Luca_Longo/pub
lications/
Title of the Project: Enhancing the representation of the construct of Human Mental Workload with
Argumentation Theory and defeasible reasoning
Project Summary:
Argumentation theory (AT) is a new important multi-disciplinary topic in Artificial Intelligence (AI) that
incorporates element of philosophy, psychology and sociology and that studies how people reason and
express their arguments. It systematically investigates how arguments can be built, sustained or discarded in
a defeasible reasoning process and the validity of the conclusions reached through resolutions of potential
inconsistencies. Because of its simplicity and modularity compared to other reasoning approaches, AT has
gaining importance for enhancing knowledge-representation.
This project aims to study the impact of defeasible reasoning and formal models of AT for enhancing the
representation of the ill-defined construct of human mental workload (MLW), an important interaction
design concept in human-computer interaction (HCI). The argumentation theory approach will be compared
against other knowledge-representation approaches.
Ciência sem Fronteiras / Science Without Borders Priority Area:
Information and Communications Technologies (ICTs)
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