2003
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Ramchurn, Sarvapali; Sierra, C; Godo, L; Jennings, N R A computational trust model for multi-agent interactions based on confidence and reputation Inproceedings 6th International Workshop of Deception, Fraud and Trust in Agent Societies, pp. 69–75, 2003, (Event Dates: 2003). Abstract | Links | BibTeX @inproceedings{eps258542,
title = {A computational trust model for multi-agent interactions based on confidence and reputation},
author = {Sarvapali Ramchurn and C. Sierra and L. Godo and N. R. Jennings},
url = {http://eprints.soton.ac.uk/258542/},
year = {2003},
date = {2003-01-01},
booktitle = {6th International Workshop of Deception, Fraud and Trust in Agent Societies},
pages = {69--75},
abstract = {In open environments in which autonomous agents can break contracts, computational models of trust have an important role to play in determining who to interact with and how interactions unfold. To this end, we develop such a trust model, based on confi- dence and reputation, and show how it can be concretely applied, using fuzzy sets, to guide agents in evaluating past interactions and in establishing new contracts with one another.},
note = {Event Dates: 2003},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In open environments in which autonomous agents can break contracts, computational models of trust have an important role to play in determining who to interact with and how interactions unfold. To this end, we develop such a trust model, based on confi- dence and reputation, and show how it can be concretely applied, using fuzzy sets, to guide agents in evaluating past interactions and in establishing new contracts with one another. |
2002
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Panzarasa, P; Ramchurn, S D; Jennings, Nick Intrusiveness, Trust and Argumentation: Using Automated Negotiation to Inhibit the Transmission of Disruptive Information Inproceedings Proceedings of the International Conference on Computational Social and Organizational Systems, 2002. Abstract | Links | BibTeX @inproceedings{eps272014,
title = {Intrusiveness, Trust and Argumentation: Using Automated Negotiation to Inhibit the Transmission of Disruptive Information},
author = {P. Panzarasa and S. D. Ramchurn and Nick Jennings},
url = {http://eprints.soton.ac.uk/272014/},
year = {2002},
date = {2002-01-01},
booktitle = {Proceedings of the International Conference on Computational Social and Organizational Systems},
abstract = {The question of how to promote the growth and diffusion of information has been extensively addressed by a wide research community. A common assumption underpinning most studies is that the information to be transmitted is useful and of high quality. In this paper, we endorse a complementary perspective. We investigate how the growth and diffusion of high quality information can be managed and maximized by preventing, dampening and minimizing the diffusion of low quality, unwanted information. To this end, we focus on the conflict between pervasive computing environments and the joint activities undertaken in parallel local social contexts. When technologies for distributed activities (e.g. mobile technology) develop, both artifacts and services that enable people to participate in non-local contexts are likely to intrude on local situations. As a mechanism for minimizing the intrusion of the technology, we develop a computational model of argumentation-based negotiation among autonomous agents. A key component in the model is played by trust: what arguments are used and how they are evaluated depend on how trustworthy the agents judge one another. To gain an insight into the implications of the model, we conduct a number of virtual experiments. Results enable us to explore how intrusiveness is affected by trust, the negotiation network and the agents' abilities of conducting argumentation.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The question of how to promote the growth and diffusion of information has been extensively addressed by a wide research community. A common assumption underpinning most studies is that the information to be transmitted is useful and of high quality. In this paper, we endorse a complementary perspective. We investigate how the growth and diffusion of high quality information can be managed and maximized by preventing, dampening and minimizing the diffusion of low quality, unwanted information. To this end, we focus on the conflict between pervasive computing environments and the joint activities undertaken in parallel local social contexts. When technologies for distributed activities (e.g. mobile technology) develop, both artifacts and services that enable people to participate in non-local contexts are likely to intrude on local situations. As a mechanism for minimizing the intrusion of the technology, we develop a computational model of argumentation-based negotiation among autonomous agents. A key component in the model is played by trust: what arguments are used and how they are evaluated depend on how trustworthy the agents judge one another. To gain an insight into the implications of the model, we conduct a number of virtual experiments. Results enable us to explore how intrusiveness is affected by trust, the negotiation network and the agents' abilities of conducting argumentation. |
0000
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Filippo Bistaffa Alessandro Farinelli, Jesús Cerquides Juan Rodríguez-Aguilar A; Ramchurn, Sarvapali D Algorithms for Graph-Constrained Coalition Formation in the Real World Journal Article ACM Transactions on Intelligent Systems and Technology (TIST), 8 (4), 0000. Links | BibTeX @article{bistaffaetal2017,
title = {Algorithms for Graph-Constrained Coalition Formation in the Real World},
author = {Filippo Bistaffa, Alessandro Farinelli, Jesús Cerquides, Juan A. Rodríguez-Aguilar, and Sarvapali D. Ramchurn},
doi = {http://dx.doi.org/10.1145/3040967},
journal = {ACM Transactions on Intelligent Systems and Technology (TIST)},
volume = {8},
number = {4},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
On the distinctiveness of the electricity load profile Journal Article Pattern Recognitio, 0000. BibTeX @article{BICEGO2018317b,
title = {On the distinctiveness of the electricity load profile},
journal = {Pattern Recognitio},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|