Publications
246 results found
Pitt J, Ober J, Diaconescu A, 2017, Knowledge Management Processes and Design Principles for Self-Governing Socio-Technical Systems, 2nd IEEE International Workshops on Foundations and Applications of Self* Systems (FAS*W), Publisher: IEEE, Pages: 97-102
Pitt J, 2017, Interactional Justice and Self-Governance of Open Self-Organising Systems, 11th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Publisher: IEEE, Pages: 31-40, ISSN: 1949-3673
Petruzzi PE, Pitt J, Busquets D, 2017, Electronic social capital for self-organising multi-agent systems, ACM Transactions on Autonomous and Adaptive Systems, Vol: 12, Pages: 1-25, ISSN: 1556-4665
It is a recurring requirement in open systems, such as networks, distributed systems, and socio-technical systems, that a group of agents must coordinate their behaviour for the common good. In those systems—where agents are heterogeneous—unexpected behaviour can occur due to errors or malice. Agents whose practices free-ride the system can be accepted to a certain level; however, not only do they put the stability of the system at risk, but they also compromise the agents that behave according to the system’s rules.In social systems, it has been observed that social capital is an attribute of individuals that enhances their ability to solve collective action problems. Sociologists have studied collective action through human societies and observed that social capital plays an important role in maintaining communities though time as well as in simplifying the decision-making in them. In this work, we explore the use of Electronic Social Capital for optimising self-organised collective action.We developed a context-independent Electronic Social Capital framework to test this hypothesis. The framework comprises a set of handlers that capture events from the system and update three different forms of social capital: trustworthiness, networks, and institutions. Later, a set of metrics are generated by the forms of social capital and used for decision-making. The framework was tested in different scenarios such as two-player games, n-player games, and public goods games. The experimental results show that social capital optimises the outcomes (in terms of long-term satisfaction and utility), reduces the complexity of decision-making, and scales with the size of the population.This work proposes an alternative solution using Electronic Social Capital to represent and reason with qualitative, instead of traditional quantitative, values. This solution could be embedded into socio-technical systems to incentivise collective action without commodifying the r
Diaconescu A, Pitt J, 2017, Technological Impacts in Socio-Technical Communities iStock/BeeBright, IEEE TECHNOLOGY AND SOCIETY MAGAZINE, Vol: 36, Pages: 63-71, ISSN: 0278-0097
Steghofer J-P, Diaconescu A, Marsh S, et al., 2017, The Next Generation of Socio-Technical Systems, IEEE TECHNOLOGY AND SOCIETY MAGAZINE, Vol: 36, Pages: 46-47, ISSN: 0278-0097
Bellman K, Botev J, Hildmann H, et al., 2017, Socially-Sensitive Systems Design Exploring Social Potential, IEEE TECHNOLOGY AND SOCIETY MAGAZINE, Vol: 36, Pages: 72-80, ISSN: 0278-0097
Pitt J, Diaconescu A, Bourazeri A, 2017, Democratisation of the SmartGrid and the Active Participation of Prosumers, 26th IEEE International Symposium on Industrial Electronics (ISIE), Publisher: IEEE, Pages: 1707-1714, ISSN: 2163-5137
Riveret R, Korkinof D, Draief M, et al., 2017, Probabilistic abstract argumentation: An investigation with Boltzmann machines (vol 6, pg 178, 2015), ARGUMENT & COMPUTATION, Vol: 8, Pages: 89-89, ISSN: 1946-2166
Bourazeri A, Pitt J, Arnab S, 2017, Social Mpower: An Educational Game for Energy Efficiency, 6th EAI International Conference on Serious Games, Interaction and Simulation (SGAMES), Publisher: SPRINGER INTERNATIONAL PUBLISHING AG, Pages: 133-140, ISSN: 1867-8211
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- Citations: 3
Zolotas M, Pitt J, 2016, Self-organising error detection and correction in open multi-agent systems, 1st IEEE International Workshop on Foundations and Applications of Self-* Systems (FAS-W), Publisher: IEEE, Pages: 180-185
A key feature of open systems is the expectation of non-compliant behaviour, which may be due to accident, necessity, or malice. Therefore, a system requirement for sustainable operation is to deal with non-compliance through error detection and correction according to type and severity. This paper presents a formal model of a self-organising system of `retributive justice' that encapsulates monitoring, enforcement, and conflict-resolution. Multi-agent simulation is used to evaluate the performance of this system, whereby agents play a variant of the linear public good game and use a behaviour observation framework to adapt their decision-making. Experimental results show that although self-organisation of retributive justice alone cannot guarantee sustainability in an open system and there seems to be no `ideal' system, it can improve the utility of the collective and diminish the likelihood of non-compliance.
Torrent-Fontbona F, López B, Busquets Font D, et al., 2016, Self-organising energy demand allocation through canons of distributive justice in a microgrid., Engineering Applications of Artificial Intelligence, Vol: 52, Pages: 108-118, ISSN: 1873-6769
The energy sector is being driven into a new era where considerable portions of electrical demand will be met through distributed energy resources (DERs). Microgrids have been suggested as a tool for integrating and managing DERs. In this context, we formulate the energy demand allocation problem in order to provide service to a given load. We then propose a dynamic method for agreeing and setting the rules to perform the allocation. The methodology is based on self-organisation and the concept of distributive justice which integrates different principles of fairness represented as legitimate claims. Legitimate claims are implemented as voting functions and are used to determine how the DER requests are satisfied. The method is tested by considering different configurations of DERs, mainly of the renewable type, and comparing them with other allocation methods. Results show that this self-organising allocation method provides a better balance amongst all the representations of justice, but also it is more robust for the external authorities that manipulate the allocation process.
Kurka DB, Pitt J, 2016, Distributed Distributive Justice, 10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Publisher: IEEE, Pages: 80-89, ISSN: 1949-3673
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- Citations: 5
Kurka DB, Pitt J, 2016, Voices of Justice: Finding Consensus in the Multitude of Claims, 1st IEEE International Workshop on Foundations and Applications of Self-* Systems (FAS-W), Publisher: IEEE, Pages: 174-179
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- Citations: 2
Diaconescu A, Frey S, Mueller-Schloer C, et al., 2016, Goal-oriented Holonics for Complex System (Self-)Integration: Concepts and Case Studies, 10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Publisher: IEEE, Pages: 100-109, ISSN: 1949-3673
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- Citations: 25
Petruzzi PE, Pitt J, Busquets D, 2016, Inter-Institutional Social Capital for Self-Organising 'Nested Enterprises', 10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Publisher: IEEE, Pages: 90-99, ISSN: 1949-3673
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- Citations: 4
Pitt J, Diaconescu A, 2016, Interactive Self-Governance and Value-Sensitive Design for Self-Organising Socio-Technical Systems, 1st IEEE International Workshop on Foundations and Applications of Self-* Systems (FAS-W), Publisher: IEEE, Pages: 30-35
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- Citations: 5
Valetto G, Bucchiarone A, Geihs K, et al., 2015, All together Now: Collective intelligence for computer-supported collective action, 2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing Systems Workshops, SASOW 2015, Publisher: IEEE, Pages: 13-18
In this position paper, we argue that a new methodological paradigm and software platform is required for developing citizen-oriented social computing applications. The platform that we propose is based on the idea of 'Collective Intelligence as a Service', and is grounded in the formalisation of computational models derived from an empirical analysis of psychological processes and social practices. This in turn provides the enablers for developing radically innovative tools for computational sustainability and computer-supported collective action in smart communities (e.g. Smart cities). Our vision is illustrated with two exemplars, one a healthcare application for patients with peripheral arterial disease, and the other an application for collaborative energy conservation to meet targets set out in a city's Sustainable Energy Action Plan.
Pitt J, Artikis A, 2015, The open agent society: retrospective and prospective views, ARTIFICIAL INTELLIGENCE AND LAW, Vol: 23, Pages: 241-270, ISSN: 0924-8463
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- Citations: 6
Pitt J, Busquets D, Riveret R, 2015, The pursuit of computational justice in open systems, AI & SOCIETY, Vol: 30, Pages: 359-378, ISSN: 0951-5666
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- Citations: 19
Pitt J, Holvoet T, 2015, SASO 2013: Selected, Revised, and Extended Best Papers, ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS, Vol: 10, ISSN: 1556-4665
Neville B, Fasli M, Pitt J, 2015, Utilising social recommendation for decision-making in distributed multi-agent systems, EXPERT SYSTEMS WITH APPLICATIONS, Vol: 42, Pages: 2884-2906, ISSN: 0957-4174
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- Citations: 8
Jiang J, Pitt J, Diaconescu A, 2015, Rule Conflicts in Holonic Institutions, 9th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Publisher: IEEE, Pages: 49-54
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- Citations: 3
Patkos T, Flouris G, Papadakos P, et al., 2015, Privacy-by-Norms Privacy Expectations in Online Interactions, 9th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Publisher: IEEE, Pages: 1-6
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- Citations: 4
Pitt J, Diaconescu A, 2015, Structure and Governance of Communities for the Digital Society, IEEE International Conference on Autonomic Computing, Publisher: IEEE, Pages: 279-284
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- Citations: 7
Sanderson D, Ratchev S, Kelly E, et al., 2015, Self-Organising Electronic Institutions and Flexible Manufacturing Systems, 15th IFAC Symposium on Information Control Problems in Manufacturing, Publisher: ELSEVIER, Pages: 2071-2076, ISSN: 2405-8963
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- Citations: 1
Riveret R, Korkinof D, Draief M, et al., 2015, Probabilistic abstract argumentation: an investigation with Boltzmann machines, ARGUMENT & COMPUTATION, Vol: 6, Pages: 178-218, ISSN: 1946-2166
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- Citations: 13
Diaconescu A, Pitt J, 2015, Holonic Institutions for Multi-scale Polycentric Self-governance, 10th Conference Coordination, Organizations, Institutions and Norms in Agent Systems (COIN), Publisher: SPRINGER-VERLAG BERLIN, Pages: 19-35, ISSN: 0302-9743
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- Citations: 7
Riveret R, Pitt J, Korkinof D, et al., 2015, Neuro-Symbolic Agents: Boltzmann Machines and Probabilistic Abstract Argumentation with Sub-Arguments, 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Publisher: ASSOC COMPUTING MACHINERY, Pages: 1481-1489
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- Citations: 7
Petruzzi PE, Busquets D, Pitt J, 2015, A Generic Social Capital Framework for Optimising Self-Organised Collective Action, 9th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Publisher: IEEE, Pages: 21-30, ISSN: 1949-3673
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- Citations: 8
Sanderson D, Antzoulatos N, Chaplin JC, et al., 2015, Advanced Manufacturing: an Industrial Application for Collective Adaptive Systems, 9th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Publisher: IEEE, Pages: 61-67
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- Citations: 11
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