A Model for Experience-Based Agent Specific Trust

Mats Neovius

A Model for Experience-Based Agent Specific Trust

Mats Neovius

Research output: Chapter in Book/Conference proceeding › Published conference proceeding › Scientific › peer-review

Abstract

Contemporary computerized tasks increasingly depend on inherently inaccurate information provided by autonomous agents. Reasons for the information inaccuracy are many, including the uncertainty in measurement (calibration errors), the process inherent inaccuracy (rounding), changing level of quality and, when humans are involved, differences in preferences (bias), (un)intentional violation of expectation to mention a few. Parameterization of this inaccuracy is demanded for prompt and justified adaption. Frequently, this parameterization is overlooked when models for reasoning on the inaccuracies are presented. In this paper, we address the parameterization of inaccuracy by an experience-based model. The model is based on Dempster-Shafer theory of evidence that relies on a history of experiences of subjective satisfaction on some provided data. From this history, the model derives the warranted belief and certainty that may justifiably be placed on the acquired data. The model facilitates decay and abstraction of a subset of history to a versatile score. This paper’s contribution is in showing the experience-based model’s generality and versatility by mapping it to EigenTrust, Subjective Logic and probabilistic trust management models.

Original language	Undefined/Unknown
Title of host publication	proceedings of The Eighth International Conference on Adaptive and Self-Adaptive Systems and Applications
Editors	Jaime Lloret Mauri, Mario Freire
Publisher	Iaria xps press
Pages	10–15
ISBN (Print)	978-1-61208-463-3
Publication status	Published - 2016
MoE publication type	A4 Article in a conference publication
Event	International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE) - 8th International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE 2016) Duration: 20 Mar 2016 → 24 Mar 2016

Conference

Conference	International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE)
Period	20/03/16 → 24/03/16

Access to Document

http://www.thinkmind.org/index.php?view=instance∈stance=ADAPTIVE+2016

Cite this

@inproceedings{f2ce046c66524b5ab3cc8160434bc196,

title = "A Model for Experience-Based Agent Specific Trust",

abstract = "Contemporary computerized tasks increasingly depend on inherently inaccurate information provided by autonomous agents. Reasons for the information inaccuracy are many, including the uncertainty in measurement (calibration errors), the process inherent inaccuracy (rounding), changing level of quality and, when humans are involved, differences in preferences (bias), (un)intentional violation of expectation to mention a few. Parameterization of this inaccuracy is demanded for prompt and justified adaption. Frequently, this parameterization is overlooked when models for reasoning on the inaccuracies are presented. In this paper, we address the parameterization of inaccuracy by an experience-based model. The model is based on Dempster-Shafer theory of evidence that relies on a history of experiences of subjective satisfaction on some provided data. From this history, the model derives the warranted belief and certainty that may justifiably be placed on the acquired data. The model facilitates decay and abstraction of a subset of history to a versatile score. This paper{\textquoteright}s contribution is in showing the experience-based model{\textquoteright}s generality and versatility by mapping it to EigenTrust, Subjective Logic and probabilistic trust management models.",

author = "Mats Neovius",

year = "2016",

language = "Odefinierat/ok{\"a}nt",

isbn = "978-1-61208-463-3",

pages = "10–15",

editor = "{Lloret Mauri}, Jaime and Mario Freire",

booktitle = "proceedings of The Eighth International Conference on Adaptive and Self-Adaptive Systems and Applications",

publisher = "Iaria xps press",

note = "International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE) ; Conference date: 20-03-2016 Through 24-03-2016",

}

Neovius, M 2016, A Model for Experience-Based Agent Specific Trust. in J Lloret Mauri & M Freire (eds), proceedings of The Eighth International Conference on Adaptive and Self-Adaptive Systems and Applications. Iaria xps press, pp. 10–15, International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE), 20/03/16. <http://www.thinkmind.org/index.php?view=instance∈stance=ADAPTIVE+2016>

A Model for Experience-Based Agent Specific Trust. / Neovius, Mats.
proceedings of The Eighth International Conference on Adaptive and Self-Adaptive Systems and Applications. ed. / Jaime Lloret Mauri; Mario Freire. Iaria xps press, 2016. p. 10–15.

Research output: Chapter in Book/Conference proceeding › Published conference proceeding › Scientific › peer-review

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T1 - A Model for Experience-Based Agent Specific Trust

AU - Neovius, Mats

PY - 2016

Y1 - 2016

N2 - Contemporary computerized tasks increasingly depend on inherently inaccurate information provided by autonomous agents. Reasons for the information inaccuracy are many, including the uncertainty in measurement (calibration errors), the process inherent inaccuracy (rounding), changing level of quality and, when humans are involved, differences in preferences (bias), (un)intentional violation of expectation to mention a few. Parameterization of this inaccuracy is demanded for prompt and justified adaption. Frequently, this parameterization is overlooked when models for reasoning on the inaccuracies are presented. In this paper, we address the parameterization of inaccuracy by an experience-based model. The model is based on Dempster-Shafer theory of evidence that relies on a history of experiences of subjective satisfaction on some provided data. From this history, the model derives the warranted belief and certainty that may justifiably be placed on the acquired data. The model facilitates decay and abstraction of a subset of history to a versatile score. This paper’s contribution is in showing the experience-based model’s generality and versatility by mapping it to EigenTrust, Subjective Logic and probabilistic trust management models.

AB - Contemporary computerized tasks increasingly depend on inherently inaccurate information provided by autonomous agents. Reasons for the information inaccuracy are many, including the uncertainty in measurement (calibration errors), the process inherent inaccuracy (rounding), changing level of quality and, when humans are involved, differences in preferences (bias), (un)intentional violation of expectation to mention a few. Parameterization of this inaccuracy is demanded for prompt and justified adaption. Frequently, this parameterization is overlooked when models for reasoning on the inaccuracies are presented. In this paper, we address the parameterization of inaccuracy by an experience-based model. The model is based on Dempster-Shafer theory of evidence that relies on a history of experiences of subjective satisfaction on some provided data. From this history, the model derives the warranted belief and certainty that may justifiably be placed on the acquired data. The model facilitates decay and abstraction of a subset of history to a versatile score. This paper’s contribution is in showing the experience-based model’s generality and versatility by mapping it to EigenTrust, Subjective Logic and probabilistic trust management models.

M3 - Publicerad konferensartikel

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