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    Joana Urbano A ril 2013 1

    Computational Trust

    Joana Urbano

    [email protected]

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    Joana Urbano A ril 2013 2

    Trust in ANTE

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    Joana Urbano A ril 2013 3

    Why Trust?

    Social and economic relationships are uncertainand bring

    vulnerabilityto the interacting partners.

    Trust allows to reduce the complexity of relationships.

    Following the sociological view of trust, trust allows social life

    (Luhmann, 1979).

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    Why Computational Trust?

    Enabler technology for the automatization & virtualizationof

    business:

    E-procurement (B2B).

    E-commerce & auctions (B2C, C2C, C2B).

    Management of distributed resources (grid, cloud).

    Desired feature of social networks.

    It has received attention from national and EU funding: eRep, eTrustCom, COST Action IC0801 (WG5), LIACC FCT project,

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    What is Trust?

    Still no definition accepted by all.

    Probably the most consensual definition:

    Trust is both apositive expectationthat the trustee will act as expected,

    and a willingness or intention to accept vulnerability(Mayer:1995).

    Some well know properties: It depends on the evaluator (I trust X as a vendor but Y does not).

    It depends on the role(I trust X as a vendor but not as a buyer).

    It depends on the context(I trust X as an exporter of cotton to Europe but not as anexporter of chiffon to the USA).

    It depends on time(I used to trust X, but i do not trust it anymore).

    It does not depend necessarily on reputation(I trust X despite its bad reputation).

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    Different Approaches to Trust

    Psychology:trust is considered at the individual level, as a personality

    trait (questionnaire surveys, other psychometric scaling techniques, trust games).

    Social psychology and Sociology:trust is understood as a property of

    ongoing dyads, groups, and collectivities.

    Neuroscience:activation of the amygdala in kinship relationships, brain

    damage and trust, etc.

    Economy:how trust is affected by incentives, norms, institutions, and

    other governance mechanisms.

    Management and Organizations:the relation between trust, power,

    opportunism and betrayal, amongst others.

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    The Computational Trust Approach

    Question:how computer scientists deal with all this

    diversity of trust concepts and approaches?

    Answer:very badly!

    Real implementations are too simplistic (Amazon.com,

    eBay.com, epinions.com, etc.).

    Research on computational trust tend to forget the social

    nature of trust.

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    Joana Urbano A ril 2013 8

    Agenda

    In this talk:

    1. Simple computational trust algorithms in e-commerce.

    2. Overview of research on computational trust.

    3. New trends on computational trust.

    4. LIACCs current approach.

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    Simple Trust Systems in the Internet

    Amazon.com (B2C), eBay.com (C2C)

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    Amazon.comTrust in Products

    five star classification

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    Amazon.comCredibility of Reviewers

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    Amazon.comReviewers Rank

    A reviewer's rankis determined by the overall helpfulness of all their reviews,

    factoring in the number of reviews they have written. More weight is given to

    recent reviews.

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    Amazon.comTrust in Sellers

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    Amazon.comTrust in Sellers

    Amazon TipsLook for clues within a

    sellers feedback that

    indicate the following:

    the ability to fulfil

    and ship orders in a

    timely fashion. a sellers willingness

    to resolve

    transaction disputes.

    an indication that

    the quality of the

    products shipped

    matches the

    descriptionsupplied

    by the seller.

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    eBay.comTrust in Sellers

    Trust on Sellersadd detailed seller rankings, contact of seller, web of favorite

    sellers.

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    eBay.comTop-Rated Sellers

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    eBay.comTrust in the System

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    Considerations About Trust in Amazon & eBay

    Trust measures are simple or weighed means.

    Much is left to comments written in natural language (e.g.,

    delivery, quality, resolution of disputes)context is not

    addressed in an automatic way.

    Long-term relationships are not the pattern.

    eBay foruns reportretalliation cases.

    A few negative classifications removea seller from business.

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    Research on Computational Trust

    Traditional Approaches

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    Traditional Approaches to Computational Trust

    Trust is a Cognitive Construct: it builds on existing

    past evidence about the trustees behavior

    1. Alice reported that Bob was a very good tour guide when

    they visited Trondheim at night

    2. Jim reported that Bob was a lousy tour guide when they

    visited Bergen under stormy weather

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    Traditional Approaches to Computational Trust

    Trust is about Trustworthiness

    I trust Bob as a tour guide under normal conditions

    because a lot of people (and probably myself) reported

    that he is trustworthyunder these conditions

    Trust is Contextual

    I trust Bob as a tour guide under normal conditions but I

    do not trust him under stormy weather

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    Trustworthiness Computation

    How to compute the trustworthiness of this agent?

    fabric quantity del. time outcome

    cotton medium big fulfill

    cotton high medium fulfill

    cotton medium big fulfill

    voile medium medium fulfill

    voile high low violate

    cotton high medium fulfillvoile medium big fulfill

    voile high big fulfill

    cotton low big fulfill

    voile medium medium fulfill

    voile medium big fulfill

    voile medium medium fulfillcotton low big fulfill

    cotton high medium violate

    voile medium low fulfill

    voile medium big fulfill

    voile medium low fulfill

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    Trustworthiness Computation

    Weighted Means by Recency

    Trustworthiness of trustee is given by aggregating evidence using

    weighted means by recency:

    Model: Fire (Huynh, Jennings, Shadbolt, 2006)

    )5.0ln(,,

    .

    )(1

    0

    1

    0 dew

    w

    vw

    NTit

    iN

    i

    i

    i

    N

    i

    i

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    Weighted Means By Recency

    d = 5, t = 16

    lambda = -5/log(0.5)

    wi = exp (-delta/lambda)

    fabric quantity del. time outcome v t delta w w*v

    cotton medium big fulfill 1 0 16 0,38 0,38

    cotton high medium fulfill 1 1 15 0,41 0,41

    cotton medium big fulfill 1 2 14 0,43 0,43

    voile medium medium fulfill 1 3 13 0,46 0,46

    voile high low violate -1 4 12 0,49 -0,49cotton high medium fulfill 1 5 11 0,52 0,52

    voile medium big fulfill 1 6 10 0,55 0,55

    voile high big fulfill 1 7 9 0,58 0,58

    cotton low big fulfill 1 8 8 0,62 0,62

    voile medium medium fulfill 1 9 7 0,66 0,66

    voile medium big fulfill 1 10 6 0,70 0,70

    voile medium medium fulfill 1 11 5 0,74 0,74

    cotton low big fulfill 1 12 4 0,79 0,79

    cotton high medium violate -1 13 3 0,83 -0,83

    voile medium low fulfill 1 14 2 0,89 0,89

    voile medium big fulfill 1 15 1 0,94 0,94

    voile medium low fulfill 1 16 0 1,00 1,00

    10,96 8,32

    tw = 0,76

    )5.0ln(,,

    .

    )(1

    0

    1

    0 dew

    w

    vw

    NTit

    iN

    ii

    i

    N

    i

    i

    h

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    Trustworthiness Computation

    Beta Reputation System Trustworthiness and

    reputation are modeled as

    the expectation of a beta

    PDF (Josang et al., 2002)

    http://en.wikipedia.org/wiki/File:Beta_distribution_pdf.png

    i

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    Beta Reputation System

    lambda = 0,9; delta = 16

    r_total = r_total + r_opinion *pow(lambda, delta-i)

    fabric quantity del. time outcome r_opinion s_opinion t r_total s_total

    cotton medium big fulfill 1,0 0,0 0 0,185 0,000

    cotton high medium fulfill 1,0 0,0 1 0,391 0,000

    cotton medium big fulfill 1,0 0,0 2 0,620 0,000

    voile medium medium fulfill 1,0 0,0 3 0,874 0,000

    voile high low violate 0,0 1,0 4 0,874 0,282

    cotton high medium fulfill 1,0 0,0 5 1,188 0,282voile medium big fulfill 1,0 0,0 6 1,537 0,282

    voile high big fulfill 1,0 0,0 7 1,924 0,282

    cotton low big fulfill 1,0 0,0 8 2,355 0,282

    voile medium medium fulfill 1,0 0,0 9 2,833 0,282

    voile medium big fulfill 1,0 0,0 10 3,364 0,282

    voile medium medium fulfill 1,0 0,0 11 3,955 0,282

    cotton low big fulfill 1,0 0,0 12 4,611 0,282cotton high medium violate 0,0 1,0 13 4,611 1,011

    voile medium low fulfill 1,0 0,0 14 5,421 1,011

    voile medium big fulfill 1,0 0,0 15 6,321 1,011

    voile medium low fulfill 1,0 0,0 16 7,321 1,011

    48,38 6,59

    tw = 0,87

    T hi C i

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    Trustworthiness Computation

    Weighted Means by Similarity of Situation

    Situation is represented as point in a multi-dimensional context space

    Model: CSRC (Rehak et al. 2008)

    )2,1(

    1

    0

    1

    0 ,

    .

    )( ccdiN

    i

    i

    i

    N

    i

    i

    ew

    w

    vw

    NT

    W i h d M B Si il i f Si i

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    Weighted Means By Similarity of Situation

    fabric quantity del. time outcome

    cotton medium big fulfill

    cotton high medium fulfill

    cotton medium big fulfill

    voile medium medium fulfill

    voile high low violate

    cotton high medium fulfill

    voile medium big fulfill

    voile high big fulfillcotton low big fulfill

    voile medium medium fulfill

    voile medium big fulfill

    voile medium medium fulfill

    cotton low big fulfill

    cotton high medium violate

    voile medium low fulfillvoile medium big fulfill

    voile medium low fulfill

    )2,1(

    1

    0

    1

    0 ,

    .

    )( ccdiN

    i

    i

    i

    N

    i

    i

    ew

    w

    vw

    NT

    W i h d M B Si il i f Si i

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    Weighted Means By Similarity of Situation

    It may be hard to tune the distance functions!

    T t thi C t ti

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    Joana Urbano A ril 2013 30

    )(

    ||

    ||)(),(

    )(

    AValuesv

    vv SEntropy

    S

    SSEntropyASGain

    Trustworthiness Computation

    low

    fulfill

    quantity

    medium high

    dtime

    low medium big

    violate fulfill fulfill

    fulfill

    low

    fulfill

    quantity

    medium high

    dtime

    low medium big

    violate fulfill fulfill

    fulfill dtime

    high

    low

    Failure tendency: (*, high, low)

    Contextual FitnessLIACCs approach to situation-aware trust.

    Model: Contextual Fitness (Urbano, Rocha, Oliveira, 2010)

    fabric quantity del. time outcome

    cotton medium big fulfill

    cotton high medium fulfill

    cotton medium big fulfill

    voile medium medium fulfill

    voile high low violate

    cotton high medium fulfill

    voile medium big fulfill

    voile high big fulfillcotton low big fulfill

    voile medium medium fulfill

    voile medium big fulfill

    voile medium medium fulfill

    cotton low big fulfill

    cotton high medium violate

    voile medium low fulfillvoile medium big fulfill

    voile medium low fulfill

    T t thi C t ti

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    Joana Urbano A ril 2013 31

    Trustworthiness Computation

    Other approaches:

    Dirichlet distributions: beta distributions for eachdimension of evidence and correlation of dimensions.

    Nave Bayesian networks: P(Y|X) = (P(X|Y).P(Y))/P(X).

    LIACCs approach: Sinalpha:

    Model: Sinalpha (Urbano, Rocha, Oliveira, 2009)

    U i R t ti l I f ti

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    Bob has a good reputation as a tour guide

    Using Reputational Information

    Is he?

    Who said that?Are these people credible?

    Do they believe it?

    Is Bob a good tour guide or a good guy?

    etc ..

    C t ti l R t ti l

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    Computational Reputational

    Issues on computational reputation:

    Credibility of sources.

    Credibility of transmitted information.

    Relevance of transmitted information.

    Heterogeneity (both syntactic and semantic) of thereputation score being transmitted.

    Incentives to referrals.

    Bad mouthing.

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    Research on Computational Trust

    New Trends

    N A h A N d d!

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    New Approaches Are Needed!

    Traditional approaches fail to correctly model trust:

    1. Trust is a socio-cognitive concept.

    2. Trustworthiness is not single dimensional.

    3. Trust is more than trustworthiness.

    4. Approaches are evaluated using extremely simple models

    of agents behavior.

    Conceptual Model of Mayer et al (1995)

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    Conceptual Model of Mayer et al. (1995)

    Trust is more than trustworthiness, and trustworthiness is

    multi-dimensional.

    Computational Model of Kelton et al (2008)

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    Computational Model of Kelton et al. (2008)

    Identification, context and reputation are added.

    Socio Cognitive Model of Trust

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    Socio-Cognitive Model of Trust

    A true computational trust model using Fuzzy Cognitive Maps,

    but not entirely implemented (Castelfranchi & Falcone, 2010)

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    Research on Computational Trust

    Our Approach

    The SOLUM Framework

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    The SOLUM Framework

    The Ability Evaluation Function

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    The Ability Evaluation Function

    is obtained with Contextual Fitness

    Results:

    The Benevolence Evaluation Function

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    The Benevolence Evaluation Function

    We claim that our model is truly social!

    We analyze the past evidence in light of the relationshipsexisting between the trustees and the trusters

    Different benevolence stages

    or benevolence relationshipsmay explain the different

    outcomes.

    fabric quantity del. time outcome

    cotton medium big fulfill

    cotton high medium fulfill

    cotton medium big fulfill

    voile medium medium fulfill

    voile high low violate

    cotton high medium fulfill

    voile medium big fulfill

    voile high big fulfill

    cotton low big fulfill

    voile medium medium fulfillvoile medium big fulfill

    voile medium medium fulfill

    cotton low big fulfill

    cotton high medium violate

    voile medium low fulfill

    voile medium big fulfill

    voile medium low fulfill

    The Social Tuner Component

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    The Social Tuner Component

    1. Get Coefficient of Benevolent Actions

    2. Calculate the Trustees Benevolence

    We model benevolence as the trustees attachment toward the truster

    The Social Tuner Component

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    The Social Tuner Component

    Trustworthiness evaluation function that understands the

    stage of the relationship:

    benevolence

    ability

    The Social Tuner Component

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    The Social Tuner Component

    So far, the results are very promising!

    The Integrity Tuner

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    The Integrity Tuner

    Get Coefficient of Integrity

    Calculate the trustees Integrity

    We model integrity as the consistency of past actions and the accordance to what

    was established

    Evaluation of Our Approach

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    Evaluation of Our Approach

    We proposed and formalizeddifferent models of partners behavior based

    on empirical workin different areas of research.

    These models considered different characteristics of trusters and trustees:

    Dispositional and mutualistic benevolence, ability, integrity, value of

    agreement, satisfaction with partner, value of betrayal,

    Publications

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    Publications

    A. International Journals:

    Joana Urbano, Ana Paula Rocha, Eugnio Oliveira, An Approach to Computational Social Trust,

    AICommunications, IOS Press, 2013, accepted February 2013.

    Joana Urbano, Henrique Lopes Cardoso, Ana Paula Rocha, Eugnio Oliveira (2012), Trust and Normative

    Control in Multi-Agent Systems,Advances in Distributed Computing and Artificial Intelligence Journal, Vol. I,

    No. 1, July 2012, pp. 43-52.

    Joana Urbano, Ana Paula Rocha, Eugnio Oliveira, A Situation-Aware Computational Trust Model for

    Selecting Partners, in N.T. Nguyen (Ed.), Transactions on Computational Collective Intelligence V, LNCS 6910,

    pp. 84-105, 2011, Springer-Verlag Berlin Heidelberg 2011.

    B. Book chapters:

    Henrique Lopes Cardoso, Joana Urbano, Ana Paula Rocha, Antnio J. M. Castro, Eugnio Oliveira (2013).

    Chap. 32: ANTE: Agreement Negotiation in Normative and Trust-enabled Environments, in S. Ossowski

    (ed.),Agreement Technologies, Law, Governance and Technology Series, Volume 8, Springer, ISBN 978-94-

    007-5582-6, pp. 549-564.

    Joana Urbano, Ana Paula Rocha, Eugnio Oliveira (2013). Chap. 23: A Socio-Cognitive Perspective of Trust,

    in S. Ossowski (ed.),Agreement Technologies, Law, Governance and Technology Series, Volume 8, Springer,ISBN 978-94-007-5582-6, pp. 419-429.

    Joana Urbano, Ana Paula Rocha, Eugnio Oliveira, Extracting Trustworthiness Tendencies Using the

    Frequency Increase Metric, Enterprise Information Systems, LNBIP, 2011, Volume 73, Part 3, 208-221

    Joana Urbano, Ana Paula Rocha and Eugnio Oliveira. "Trust Evaluation for Reliable Electronic Transactions

    between Business Partners", in Lecture Notes in Business Information Processing, 2012, Volume 98, Part 3,

    219-237, DOI: 10.1007/978-3-642-28563-9_12

    Publications

    http://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/ADCAIJ12.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/ADCAIJ12.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/tcci-69100084.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/tcci-69100084.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/ICEIS-LNBIP-730208.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/ICEIS-LNBIP-730208.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/ICEIS-LNBIP-730208.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/ICEIS-LNBIP-730208.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/tcci-69100084.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/tcci-69100084.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/tcci-69100084.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/tcci-69100084.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/ADCAIJ12.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/ADCAIJ12.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/ADCAIJ12.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/ADCAIJ12.pdf
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    Publications

    C. International Conferences

    Joana Urbano, Henrique Lopes Cardoso, Ana Paula Rocha and Eugnio Oliveira. "Trust and Normative

    Control in Multi-agent Systems: An Empirical Study", in Highlights on Practical Applications of Agents and

    Multi-Agent Systems, Series: Advances in Intelligent and Soft Computing, 2012, Volume 156/2012, 207-

    214, DOI: 10.1007/978-3-642-28762-6_25

    Henrique Lopes Cardoso, Joana Urbano, Pedro Brando, Ana Paula Rocha and Eugnio Oliveira. "ANTE:

    Agreement Negotiation in Normative and Trust-Enabled Environments", in Advances on Practical

    Applications of Agents and Multi-Agent Systems, Series: Advances in Intelligent and Soft Computing, 2012,

    Volume 155/2012, 261-264, DOI: 10.1007/978-3-642-28786-2_33

    Joana Urbano, Ana Paula Rocha, Eugnio Oliveira, Dynamic Agents Behavior Model for Computational

    Trust. L. Antunes and H.S. Pinto (Eds.): EPIA 2011, LNAI 7026, Springer-Verlag Berlin Heidelberg, pp. 536

    550, 2011

    Joana Urbano, Ana Paula Rocha, Eugnio Oliveira, Trust-Based Selection of Partners, C. Huemer and T.

    Setzer (Eds.): EC-Web 2011, LNBIP 85, pp. 221232, 2011. Springer-Verlag Berlin Heidelberg 2011

    Joana Urbano, Henrique Lopes Cardoso, Eugnio Oliveira (2010). Making Electronic Contracting

    Operational and Trustworthy, inAdvances in Artificial Intelligence Proceedings of the 12th Ibero-

    American Conference on Artificial Intelligence (IBERAMIA 2010), Lecture Notes on Artificial Intelligence V.6433, Springer, ISBN 978-3-642-16951-9, pp. 264-273, Baha Blanca, Argentina, November 1-5, 2010

    Joana Urbano, Ana Paula Rocha, Eugnio Oliveira (2010). "Trustworthiness Tendency Incremental

    Extraction Using Information Gain, Proceedings of the 2010 IEEE/WIC/ACM International Conference on

    Web Intelligence and Intelligent Agent Technology, Toronto, Canada, 1-3 September, 2010, pp. 411-414.

    Publications

    http://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/[email protected]://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/[email protected]://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/[email protected]://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/[email protected]://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/EPIA-70260536.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/EPIA-70260536.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/ecweb11.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/iberamia2010-159-final.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/iberamia2010-159-final.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/IAT10.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/IAT10.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/IAT10.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/IAT10.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/iberamia2010-159-final.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/iberamia2010-159-final.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/ecweb11.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/ecweb11.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/ecweb11.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/EPIA-70260536.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2011/EPIA-70260536.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/[email protected]://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/[email protected]://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/[email protected]://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/[email protected]://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/[email protected]://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/[email protected]://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/[email protected]://paginas.fe.up.pt/~niadr/PUBLICATIONS/2012/[email protected]
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    Publications

    Joana Urbano, Ana Paula Rocha and Eugnio Oliveira (2010), "In the Search of Better Deals Using Trust",

    proceedings of ECCAI'10 Workshop IAT4EB, pp.25-30, July, Lisboa, Portugal.

    Joana Urbano, Ana Paula Rocha, Eugnio Oliveira (2010). Refining the Trustworthiness Assessment of

    Suppliers through Extraction of Stereotypes", 12th International Conference on Enterprise Information

    Systems (ICEIS 2010), Funchal, Portugal, 8-12 June 2010, pp. 85-92. BEST PAPER AWARD inTrack "Artificial

    Intelligence and Decision Support Systems.

    Joana Urbano, Ana Paula Rocha, Eugnio Oliveira (2010). Trust Estimation Using Contextual Fitness", 4th

    International KES Symposium on Agents and Multi-agent SystemsTechnologies and Applications, Gdynia,

    Poland 23 - 25 June 2010, LNAI 6070, pp.42-51

    Agnieszka Danek, Joana Urbano, Ana Paula Rocha, Eugnio Oliveira (2010). Engaging the Dynamics of Trustin Computational Trust and Reputation Systems", 4th International KES Symposium on Agents and Multi-

    agent SystemsTechnologies and Applications, Gdynia, Poland 23 - 25 June 2010, LNAI 6070, pp. 22-31

    Joana Urbano, Ana Paula Rocha, Eugnio Oliveira, "A Trust Aggregation Engine that Uses Contextual

    Information", EUMAS 2010- 7th European Workshop on Multi-Agent Systems, 12pp., Ayia Napa, Cyprus,

    December 2009.

    Joana Urbano, Ana Paula Rocha and Eugnio Oliveira. "Computing Confidence Values: Does Trust Dynamics

    Matter?", in L. Seabra Lopes, N. Lau, P. Mariano & L. M. Rocha (eds.), Progress in Artificial Intelligence

    14thPortuguese Conference on Artificial Intelligence (EPIA 2009), Springer, ISBN 978-3-642-04685-8, pp. 520-531,

    Aveiro, Portugal, October 12-15, 2009.

    Joana Urbano, Ana Paula Rocha, and Eugenio Oliveira (2009) "Trust Evaluation for Reliable Electronic

    Transactions between Business Partners" in Klaus Fischer, Jorg P. Muller, James Odell, Arne J. Berre (eds.),

    Proceedings of The AAMAS09 Workshop on Agent-based Technologies and applications for enterprise

    interOPerability, pp. 85-96, Budapest, Hungary, May 12, 2009.

    People Working on Trust at LIACC

    http://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/ECAI2010_IAT4EB_ws.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/ICEIS10_257.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/ICEIS10_257.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/ams10-103-final.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/KES-AMSTA10-final.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/KES-AMSTA10-final.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2009/EUMAS09-59-Final.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2009/EUMAS09-59-Final.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2009/trustMasta09.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2009/trustMasta09.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2009/ATOP09_Joana.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2009/ATOP09_Joana.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2009/ATOP09_Joana.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2009/ATOP09_Joana.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2009/trustMasta09.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2009/trustMasta09.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2009/EUMAS09-59-Final.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2009/EUMAS09-59-Final.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/KES-AMSTA10-final.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/KES-AMSTA10-final.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/ams10-103-final.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/ICEIS10_257.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/ICEIS10_257.pdfhttp://paginas.fe.up.pt/~niadr/PUBLICATIONS/2010/ECAI2010_IAT4EB_ws.pdf
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    People Working on Trust at LIACC

    Active:

    Joana Urbano (PhD student)

    Ana Paula Rocha and Eugnio Oliveira (Coordinators)

    Henrique Lopes Cardoso (trust & norms)

    Past collaboration:

    Agnieszka Danek (3 month grant)

    Filipe Silva (MIEIC dissertation)

    Srgio Moura (MIEIC dissertation)

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    Obrigada!

    ([email protected])