Publications

Publications from JASPR

L. Barakat, P. Taylor, N. Griffiths, A. Taweel, M. Luck and S. Miles, Towards Personalised and Adaptive QoS Assessments via Context Awareness, Computational Intelligence, 2017, to appear.
 - Presents a context-aware quality learning model, realised via a learning-enabled service agent, exploiting the contextual characteristics of the domain in order to provide more personalised, accurate and relevant quality estimations for the situation at hand.

L. Barakat, P. Taylor, N. Griffiths, and S. Miles, Corroboration via Provenance Patterns, in Proceedings of the 9th International Workshop on Theory and Practice of Provenance (TaPP 2017), 2017, to appear. 
 - Specifies a corroboration methodology to assess the reliability degree of a provenance claim made by a source, via deriving suitable corroboration patterns for confirming the claim against the reports of relevant witnesses.

P. Taylor, N. Griffiths, L. Barakat, S. Miles, Stereotype Reputation with Limited Observability, in Proceedings of the 19th International Workshop on Trust in agent Societies (Trust 2017), 2017.
 - Presents a translation mechanism for translating and communicating stereotype traits of providers between different agent perspectives, for use in assessing stereotypical-reputation (an extension and development of the work in the AAMAS extended abstract below).

P. Taylor, N. Griffiths, L. Barakat, S. Miles, Bootstrapping Trust with Partial and Subjective Observability, in Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), 2017.
 - Specifies a mechanism for communicating about stereotype traits that are partially and subjectively observed by agents, for use in assessing stereotypical-reputation.

L. Barakat, S. Mahmoud, P. Taylor,  in Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), 2016.
 - Specifies and evaluates a 
preliminary approach to incentivise providers to report the circumstances under which their service provisions occurred, via influencing provider reputation.

S. Miles and N. Griffiths, Incorporating Mitigating Circumstances into Reputation Assessment, in Proceedings of the Second International Workshop on Multiagent Foundations of Social Computing (MFSC 2015), 2015.
 - Specifies and evaluates an approach to how provenance graphs describing past circumstances of service provision can be taken into account in a reputation assessment algorithm (an extension and development of the preliminary work in the AAMAS extended abstract below).

S. Miles and N. Griffiths, Accounting for Circumstances in Reputation Assessment (Extended Abstract), in Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), pp. 1653-1654, 2015.
 - Provides a preliminary approach to how provenance graphs describing past circumstances of service provision can be taken into account in a reputation assessment algorithm.

L. Barakat, P. Taylor, N. Griffiths, and S. Miles, Context-driven assessment of provider reputation in composite provision scenarios, in Proceedings of the 13th International Conference on Service Oriented Computing (ICSOC 2015), pp. 53-67, 2015.
 - Models the delegation knowledge underlying a composite service provision, and incorporates such knowledge into the reputation assessment process, adjusting the contributions of past interactions with the composite service provider according to delegation context relevance.

Reports from JASPR

N. Griffiths, S. Miles, P. Taylor and L. Barakat, JASPR Work Package 1: Requirements analysis, December 2015.
 - Gives an overview of the outputs from requirements analysis, with a focus on a logistics case study.

Other relevant publications

N. Griffiths and S. Miles, An Architecture for Justified Assessments of Service Provider Reputation, in Proceedings of the 10th IEEE International Conference on e-Business Engineering (ICEBE 2013), pp. 345-352, 2013.
 - Sets out the challenges that motivate the JASPR project: how reputation assessment can be made richer and more personalised to better serve clients and providers.

L. Barakat, A. Taweel, M. Luck, and S. MilesA Context-Aware Approach for Personalised and Adaptive QoS Assessments, in Proceedings of the 13th International Conference on Service Oriented Computing (ICSOC 2015), pp. 362-370, 2015.
 - Exploits the contextual characteristics of the domain in order to provide more personalised and accurate quality estimations for a service, relevant for the situation at hand.

Provenance

Y. Gil and S. Miles, PROV Model Primer, online publication by the W3C standards body, 2013.
 - Introduces the PROV data model for an audience not familiar with provenance technology. A good starting point for learning about PROV.

S. Miles, P. Groth, S. Munroe and L. Moreau, PrIMe: A Methodology for Developing Provenance-Aware Applications, in ACM Transactions on Software Engineering and Methodology 20 (3), pp. 1-42, 2011.
 - Specifies a methodology for adapting software systems to make them 'provenance-aware', i.e. to record useful provenance data.

S. Miles, P. Groth, M. Luck. Handling Mitigating Circumstances for Electronic Contracts. in Proceedings of the AISB 2008 Symposium on Behaviour Regulation in Multi-agent Systems, Aberdeen, UK, pp. 37-42, 2008.
 - Shows how mitigating circumstances in service provision (in this case as specified in a contract) can be modelled as provenance graphs and used to inform client policies.

S Miles, S. Munroe, M. Luck and L. Moreau.  Modelling the Provenance of Data in Autonomous Systems, in Proceedings of Autonomous Agents and Multi-Agent Systems 2007, Honolulu, pp. 243-250, 2007.
 - An early work linking data provenance and multi-agent systems, specifying how intentional concepts, e.g. the goals an agent had, could be modelled as part of a provenance graph.

S. Miles. Electronically Querying for the Provenance of Entities, in Proceedings of the International Provenance and Annotation Workshop, Chicago, Illinois, pp. 184-192, 2006.
 - Discusses challenges in querying large provenance graphs, and presents a model by which to express such queries.

Reputation and Trust

H. Franks and N. Griffiths, Robust reputation in decentralised markets, in Computational Intelligence, 2014.
- Proposes a mechanism for using gossiping to supplement low-cost reputation assessment, and evaluates impact of network topology on effectiveness of reputation.

S. Lim Choi Keung and N. Griffiths, Trust and Reputation, in Agent-Based Service-Oriented Computing, N. Griffiths and K.-M. Chao (Eds.), pp. 189-224, Springer, 2010.
- Overview of existing approaches to trust and reputation in the context of agent-based service-oriented systems.

S. Lim Choi Keung and N. Griffiths, Building a Trust-based Social Agent Network, in Proceedings of the 12th International Workshop on Trust in Agent Societies, pp. 68-79, 2009.
- Describes how agents can utilise knowledge of the recommendation chain in a reputation system to deduce information about the environment that can support decision making.

S. Lim Choi Keung and N. Griffiths, Towards Improved Partner Selection using Recommendations and Trust, in R. Falcone, S. K. Barber, J. Sabater-Mir, and M. P. Singh, editors, TRUST 2008: Revised Selected and Invited Papers, LNAI 5396, pp. 43-64, Springer-Verlag, 2008.
- Intial work on the incorporating indirect recommendations along multiple dimensions (cost, quality, etc.) into reputation assessment.

N. Griffiths, Enhancing Peer-to-Peer Collaboration Using Trust, in The International Journal of Expert systems with Applications, 31 (4), pp. 849-858, Elsevier, 2006. 
- Proposed a multi-dimensional (cost, quality, etc.) mechanism for combining direct experience and third party opinions into an overall reputation assessment.