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Alessandro Sapienza

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2020 – today

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2024
[c30]
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Alessandro Sapienza, Rino Falcone:
Exploring the Dynamics of Learned, Pre-existing, and Partial Knowledge in Dependence Networks within Multi-Agent Systems. WOA 2024: 119-132
2023
[j8]
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Rino Falcone, Alessandro Sapienza:
The Role of Trust in Dependence Networks: A Case Study. Inf. 14(12): 652 (2023)
[j7]
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Rino Falcone, Alessandro Sapienza:
An agent-based model to assess citizens' acceptance of COVID-19 restrictions. J. Simulation 17(1): 105-119 (2023)
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Alessandro Sapienza, Rino Falcone:
Exploiting autonomy in a User-IoT system collaborative trust model. Int. J. Parallel Emergent Distributed Syst. 38(6): 477-489 (2023)
[c29]
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Rino Falcone, Alessandro Sapienza:
Dependence Networks and Trust in Agents Societies: Insights and Practical Implications. WOA 2023: 106-122
[e1]
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Rino Falcone, Cristiano Castelfranchi, Alessandro Sapienza, Filippo Cantucci:
Proceedings of the 24th Workshop "From Objects to Agents", Roma, Italy, November 6-8, 2023. CEUR Workshop Proceedings 3579, CEUR-WS.org 2023 [contents]
2022
[c28]
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Alessandro Sapienza, Rino Falcone:
An Autonomy-Based Collaborative Trust Model for User-IoT Systems Interaction. IDC 2022: 178-187
[c27]
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Rino Falcone, Alessandro Sapienza:
The role of decisional autonomy in user-IoT systems interaction. WOA 2022: 77-87
2021
[c26]
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Alessandro Sapienza, Rino Falcone:
Studying citizens' trust to monitor measures acceptance during COVID-19 pandemic. TRUST@AAMAS 2021
[c25]
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Rino Falcone, Alessandro Sapienza:
Information Seeking Behavior at the Time of COVID-19. WOA 2021: 241-258
2020
[j5]
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Alessandro Sapienza, Rino Falcone:
Evaluating agents' trustworthiness within virtual societies in case of no direct experience. Cogn. Syst. Res. 64: 164-173 (2020)
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Rino Falcone, Alessandro Sapienza:
Trust and autonomy for regulating the users' acceptance of IoT technologies. Intelligenza Artificiale 14(1): 45-58 (2020)
[c24]
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Rino Falcone, Alessandro Sapienza:
Recommendations In The Virtual Societies: Some Considerations. ICHMS 2020: 1-4
[c23]
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Pasquale De Meo, Rino Falcone, Alessandro Sapienza:
Fast and Efficient Partner Selection in Large Agents' Communities: When Categories Overcome Direct Experience. PAAMS 2020: 106-117
[c22]
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Pasquale De Meo, Rino Falcone, Alessandro Sapienza:
Applying inferential processes to partner selection in large agents communities. WOA 2020: 15-27

2010 – 2019

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2019
[c21]
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Rino Falcone, Alessandro Sapienza:
Selecting Trustworthy Partners by the Means of Untrustworthy Recommenders in Digitally Empowered Societies. PAAMS 2019: 55-65
[c20]
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Alessandro Sapienza, Rino Falcone:
Social Recommendations: Have We Done Something Wrong? PAAMS 2019: 281-284
[c19]
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Alessandro Sapienza, Rino Falcone:
A Theoretical Model for the Human-IoT Systems Interaction. WOA 2019: 90-97
2018
[j3]
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Rino Falcone, Alessandro Sapienza:
On the Users' Acceptance of IoT Systems: A Theoretical Approach. Inf. 9(3): 53 (2018)
[c18]
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Rino Falcone, Alessandro Sapienza:
Community Dynamics in case of Critical Hydrogeological Phenomena: Some Simulated Scenarios. TRUST@AAMAS 2018: 25-37
[c17]
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Rino Falcone, Alessandro Sapienza:
Institutional Alarmism and the Damage It Provokes in case of Hydrogeological Disasters: A Simulative Estimation. WOA 2018: 21-26
2017
[c16]
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Rino Falcone, Alessandro Sapienza:
Using Sources Trustworthiness in Weather Scenarios: The Special Role of the Authority. AI*IA 2017: 3-16
[c15]
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Rino Falcone, Alessandro Sapienza:
Interactions Among Information Sources in Weather Scenarios: The Role of the Subjective Impulsivity. PAAMS 2017: 56-69
[c14]
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Rino Falcone, Alessandro Sapienza:
How can Subjective Impulsivity play a role among Information Sources in Weather Scenarios? WOA 2017: 19-24
2016
[j2]
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Rino Falcone, Alessandro Sapienza, Cristiano Castelfranchi:
The predictive role of prejudice: a computational model for using categories. Int. J. Comput. Intell. Stud. 5(2): 121-137 (2016)
[c13]
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Alessandro Sapienza, Rino Falcone:
How to Manage the Information Sources' Trustworthiness in a Scenario of Hydrogeological Risks. TRUST@AAMAS 2016: 71-82
[c12]
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Rino Falcone, Alessandro Sapienza, Cristiano Castelfranchi:
Trusting Different Information Sources in a Weather Scenario: A Platform for Computational Simulation. ICAART (1) 2016: 165-172
[c11]
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Rino Falcone, Alessandro Sapienza, Cristiano Castelfranchi:
Which Information Sources are More Trustworthy in a Scenario of Hydrogeological Risks: A Computational Platform. PAAMS 2016: 84-96
[c10]
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Rino Falcone, Alessandro Sapienza:
An Evolutionary Platform for Social Simulation in Case of Critical Hydrogeological Phenomena: The Authority's Role. PAAMS 2016: 251-255
[c9]
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Alessandro Sapienza, Rino Falcone:
A Bayesian Computational Model for Trust on Information Sources. WOA 2016: 50-55
2015
[j1]
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Rino Falcone, Alessandro Sapienza, Cristiano Castelfranchi:
The Relevance of Categories for Trusting Information Sources. ACM Trans. Internet Techn. 15(4): 13:1-13:21 (2015)
[c8]
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Rino Falcone, Alessandro Sapienza, Cristiano Castelfranchi:
Valorizing Prejudice in MAS: A Computational Model. COOS@AAMAS 2015: 19-27
[c7]
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Rino Falcone, Alessandro Sapienza, Cristiano Castelfranchi:
The Utility of Categories through their Recommendation in an Agents World with Local or not Local Communication. EAPCogSci 2015
[c6]
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Rino Falcone, Alessandro Sapienza, Cristiano Castelfranchi:
Information Sources About Hydrogeological Disasters: The Role of Trust. EUMAS/AT 2015: 350-362
[c5]
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Rino Falcone, Alessandro Sapienza, Cristiano Castelfranchi:
Trusting Information Sources Through their Categories. PAAMS 2015: 80-92
[c4]
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Rino Falcone, Alessandro Sapienza, Cristiano Castelfranchi:
Recommendation of categories in an agents world: The role of (not) local communicative environments. PST 2015: 7-13
[c3]
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Alessandro Sapienza, Rino Falcone, Cristiano Castelfranchi:
The Positive Power of Prejudice: A Computational Model for MAS. WOA 2015: 39-45
2014
[c2]
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Cristiano Castelfranchi, Rino Falcone, Alessandro Sapienza:
Information Sources: Trust and Meta-trust Dimensions. TRUST@AAMAS 2014: 55-67
[c1]
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Alessandro Sapienza, Rino Falcone, Cristiano Castelfranchi:
Trust on Information Sources: A Theoretical and Computational Approach. WOA 2014

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