DIT PhD Project
Supervisor name & contact details:
Name
Email
Pierpaolo Dondio
pierpaolo.dondio@dit.ie
Supervisors Profile:
Web-link
https://scholar.google.com/citations?user=JdI7hX0AAAAJ
&hl=en
http://www.dit.ie/computing/staff/pierpaolodondio/
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:
https://scholar.google.com/citations?user=JdI7hX0AAAAJ
&hl=en
Title of the Project: Building Intelligent Agents able to take decisions with vague, conflicting and
uncertain Information
Project Summary>
Two ubiquitous characteristics of human decisions are the following: they often happen in a situation of
conflicting information and the concepts involved in the process are often vague and partially true.
Practitioners in AI have developed sophisticated intelligent systems to manage uncertainty in decisionsmaking. Multi-valued and fuzzy logic are suitable to model vague and partially true information, while
recent works in Abstract Argumentation Theory have produced a set of elegant and sound semantics to
manage conflicts resolution between conflicting evidence.
However, abstract argumentation is only able to deal with Boolean evidence, and it has little or no
support for any sort of fuzzy, uncertain or partially true argument. On the other side, fuzzy logic
systems do not embed any mechanisms of conflict resolution comparable with the ones produced by
abstract argumentation.
The aim of this PhD project is to extend the state-of-the-art of reasoning system by investigating how
fuzzy reasoning can be integrated into abstract argumentation theory. The challenges are to define a
framework with the following characteristics: sound in the decisions produced, able to explain and
justify its decisions, able to integrate different multi-valued logic semantics, and computationally
feasible. The framework will be integrated with complementary uncertainty management approach,
such as probability and possibility theory.
Implemented versions of the framework will be evaluated in a diverse set of fields such as clinical
decision making process and financial risk assessment.
Ciência sem Fronteiras / Science Without Borders Priority Area:
Information and Communications Technologies (ICTs)