Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.762339
Title: A behaviourist framework for describing open self-organising systems
Author: Rekkas, Spyridon
ISNI:       0000 0004 7656 3504
Awarding Body: King's College London
Current Institution: King's College London (University of London)
Date of Award: 2018
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Abstract:
When designing large distributed systems, it is common to try and impose an or-ganisational structure, a structure with distinct roles, a defined communication model, and social control aspects. Having an organisational structure allows for observing the system’s emerging overall behaviour, as well as controlling it. This seems more necessary when designing open systems where heterogeneous members are allowed to join and leave the system. Open systems especially need an organisational structure that is adaptive to changes, ideally a structure that is self-adaptive without the need of external intervention. In the case of Multi Agent Systems (MASs), the building blocks of this self-adaptive organisational structure (the roles, communication model and a social order mechanism) need to be defined in an unambiguous way that allows this structure to be applied onto software agents. Most of the existing models for designing Multi Agent Organisations make use of mental notions, such as power, belief, intention, obligation etc. These are notions used in every day language when describing an organisational structure, but can have an ambiguous mean-ing and semantics. This makes them difficult to implement in a programming environment leaving their actual meaning open to the designer’s interpretation and leading to not truly open systems. This thesis explores the possibility of bridging this gap between organisa-tional design and implementation by defining the main building blocks of an organisational structure using a behaviourist approach. Inspired by the doctrine of Behaviourism, the thesis provides a descriptive framework for specifying an open organisation’s building blocks in behavioural terms.
Supervisor: McBurney, Peter John ; Jones, Andrew John Ivor ; Luck, Michael Mordechai Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.762339  DOI: Not available
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