<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-21T17:39:00Z</responseDate><request verb="GetRecord" identifier="oai:dora.dmu.ac.uk:2086/19295" metadataPrefix="dim">https://dora.dmu.ac.uk/server/oai/request</request><GetRecord><record><header><identifier>oai:dora.dmu.ac.uk:2086/19295</identifier><datestamp>2023-09-20T19:14:49Z</datestamp><setSpec>com_2086_2388</setSpec><setSpec>col_2086_2389</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="author" authority="113d5105-8a37-407c-bfa8-a95f41f29758" confidence="-1">Al-Hudhud, Ghada A K</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2020-03-04T15:27:14Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2020-03-04T15:27:14Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued">2005</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://dora.dmu.ac.uk/handle/2086/19295</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en">The emergent behaviour of a multiagent system depends on the component agents and how&#xd;
they interact. A critical part of interaction between agents is communication. This thesis&#xd;
presents a multi-agent system communication model for physical moving agents. The work&#xd;
presented in this thesis provides all the tools to create a physical multi-agent communication&#xd;
system. The model integrates different agent technologies at both the micro and macro level.&#xd;
The micro structure involves the architecture of the individual components in the system&#xd;
whilst the macro structure involves the interaction relationships between these individual&#xd;
components in the system.&#xd;
Regarding the micro structure of the system, the model provides the description of a&#xd;
novel hybrid BDI-Blackboard architectured agent that builds-in a hybrid of reactive and&#xd;
deliberative agent. The macro structure of the system, provided by this model, provides&#xd;
the operational specifications of the communication protocols. The thesis presents a theory&#xd;
of communication that integrates an animal intelligence technique together with a cognitive&#xd;
intelligence one. This results in a local co-ordination of movements, and global task coordination.&#xd;
Accordingly, agents are designed to communicate with other agents in order to&#xd;
coordinate their movements via a set of behavioural rules. These behavioural rules allow&#xd;
a simple directed flocking behaviour to emerge. A flocking algorithm is used because it&#xd;
satisfies a major objective, i.e. it has a real time response to local environmental changes&#xd;
and minimises the cost of path planning. A higher level communication mechanism is&#xd;
implemented for task distribution that is carried out via a blackboard conversation and&#xd;
ii&#xd;
negotiation process with a ground based controller. All the tasks are distributed as team&#xd;
tasks. A novel utilization of speech acts as communication utterances through a blackboard&#xd;
negotiation process is proposed.&#xd;
In order to implement the proposed communication model, a virtual environment is&#xd;
built that satisfies the realism of representing the agents, environment, and the sensors&#xd;
as well as representing the actions. The virtual environment used in the work is built&#xd;
as a semi-immersive full-scale environment and provides the visualisation tools required&#xd;
to test, modify, compare and evaluate different behaviours under different conditions. The&#xd;
visualization tools allow the user to visualize agents negotiations and interacting with them.&#xd;
The 3D visualisation and simulation tools allow the communication protocol to be tested and&#xd;
the emergent behaviour to be seen in an easy and understandable manner. The developed&#xd;
virtual environment can be used as a toolkit to test different communication protocols and&#xd;
different agent’s architecture in real time.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en">en</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en">De Montfort University</dim:field>
   <dim:field mdschema="dc" element="publisher" qualifier="department" lang="en">Computer Science</dim:field>
   <dim:field mdschema="dc" element="title" lang="en">Multi-agent Communication Protocols with Emergent Behaviour</dim:field>
   <dim:field mdschema="dc" element="type" lang="en">Thesis or dissertation</dim:field>
   <dim:field mdschema="dc" element="type" qualifier="qualificationlevel" lang="en">Doctoral</dim:field>
   <dim:field mdschema="dc" element="type" qualifier="qualificationname" lang="en">PhD</dim:field>open.access</dim:dim></metadata></record></GetRecord></OAI-PMH>