The role of subjectivity in intelligent systems communication and learning

Abstract

This thesis examines the role of subjectivity in intelligent systems communication interfaces. It explores new models of software agent architectures able to provide agents with subjectivity and egocentric communication patterns. A qualitative approach has been utilised using disciplines such as Intelligent Systems, Philosophy, and Cognitive Sciences. The research results aim to increase knowledge of the subjective intelligent systems communication internal processes modelling, so improving the design of human-intelligent agent interface tools. This research may be applied to intelligent agent and knowledge systems adopting subjective and egocentric communication in areas such as analysis of security intelligence, legal argument analysis and intelligent web search engines.

Date of Award	2011
Original language	English
Supervisor	Masoud MOHAMMADIAN (Supervisor) & Masoud MOHAMMADIAN (Supervisor)