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Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution

Alex Raymond, Matthew Malencia, Guilherme Paulino-Passos, Amanda Prorok
2022 Frontiers in Robotics and AI  
As human systems and societies are organised by rules and norms, hybrid human-agent and multi-agent environments of the future will require agents to resolve conflicts in a decentralised and rule-aware  ...  Prior work achieves such decentralised, rule-aware conflict resolution through cultures: explainable architectures that embed human regulations and norms via argumentation frameworks with verification  ...  “Argumentation-based Multi-Agent Decision Making with Privacy Preserved,” in Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, Singapore, May 9–13, 2016, 1153–  ... 
doi:10.3389/frobt.2022.733876 pmid:35252361 pmcid:PMC8891697 fatcat:jfi3vgahv5ei7p6mec4hykucki

Privacy Preserving Reputation Management in Social Networks [chapter]

Omar Hasan, Lionel Brunie
2013 Lecture Notes in Social Networks  
In particular we will look at privacy preserving reputation management in decentralized social networks, where there is no central authority or trusted third parties, thus making the task of preserving  ...  In this chapter, we describe privacy preserving reputation management in social networks and the associated challenges.  ...  [45] present a reputation system that computes the reputation of a user based on the access control decisions that he makes.  ... 
doi:10.1007/978-3-7091-0894-9_8 dblp:series/lnsn/HasanB13 fatcat:dyeswkwtmvfurgsefr7y64lgga

Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution [article]

Alex Raymond, Matthew Malencia, Guilherme Paulino-Passos, Amanda Prorok
2021 arXiv   pre-print
rule-aware collision avoidance with limited information disclosure.  ...  In addition to this analysis across a broad set of randomised abstract cultures, we analyse a case study for a specific scenario: we instantiate our architecture in a multi-agent simulation of prioritised  ...  unique and individual decision-making process.  ... 
arXiv:2107.00032v1 fatcat:rbuaarzjzjenxkq4ohu72vowpy

Real time Smart Contracts for IoT using Blockchain and Collaborative Intelligence based Dynamic Pricing for the next generation Smart Toll Application [article]

Misha Abraham and Himajit Aithal and Krishnan Mohan
2020 arXiv   pre-print
Our paper showcases a possible solution by leveraging negotiations, decision making, distributed learning capabilities at the devices level using AI-enabled Multi-Agent Systems and the real-time smart  ...  While blockchain secures the privacy of the participants it also acts as an economic transactional layer and governance layer between the devices in the networ  ...  We are grateful to all expert for participating in interviews and providing us with their valuable insights and informed opinions ensuring completeness of our solution implementation.  ... 
arXiv:2002.12654v1 fatcat:l2tbkmd6svhxfg3dwt6upb46ey

Agents in a privacy-preserving world

Edgar Galván, Joaquín García-Alfaro, Guillermo Navarro-Arribas, Vicenç Torra
2021 Transactions on Data Privacy  
Agents should be able to reason about our privacy requirements, and may collaborate (or not) with other agents to help us to achieve our privacy goals.  ...  Mobile devices and the internet of things make keeping our live private still more difficult. Agent technologies can play a fundamental role to provide privacy-aware solutions.  ...  In addition, • agents must advise the users on different privacy related questions. Agents will be able to make learned decisions on the transmissions, both with respect to timing and content.  ... 
dblp:journals/tdp/GalvanGNT21 fatcat:a5n6s75izzbntiwplkszu32nom

Agent-Based Technologies in Defense and Security

2002 Information & Security An International Journal  
he field of autonomous agents and multi-agent systems is an exciting and rapidly expanding area of research and development.  ...  In the last few years, there has been a growing interest in the application of agent-based systems to various securityrelated and military domains.  ...  The topics include but are not limited to: Agent -based Defense Modeling and Simulation Computer simulation is a valuable tool for complex decision-making, especially in military and civilian operations  ... 
doi:10.11610/isij.0800 fatcat:zuuhjrekqzej3hkirnbqwfwnyq

Explainability in Mechanism Design: Recent Advances and the Road Ahead [article]

Sharadhi Alape Suryanarayana, David Sarne, Sarit Kraus
2022 arXiv   pre-print
While explaining choices made by black-box algorithms such as machine learning and deep learning has occupied most of the limelight, systems that attempt to explain decisions (even simple ones) in the  ...  In this paper, we provide a comprehensive survey of explainability in mechanism design, a domain characterized by economically motivated agents and often having no single choice that maximizes all individual  ...  We also note that even cases where social choice is merely a particular step in a multi-stage decision making process carried out by an agent making decisions on behalf of humans, call for Explainable  ... 
arXiv:2206.03031v1 fatcat:nozj3tgdynetdlxrjos4h55jve

A comprehensive assessment of cloud computing for smart grid applications: A multi-perspectives framework

Nina Chaichi, Joao Lavoie, Soheil Zarrin, Rafaa Khalifa, Felix Sie
2015 2015 Portland International Conference on Management of Engineering and Technology (PICMET)  
This study intends to give more insight to decision makers or utility companies to make a better decision whether to adopt cloud computing with regards to their needs or not.  ...  The proposed multi-perspective framework takes all the criteria that would affect the assessment of cloud computing and put them into organizational, technical, economical, social and political categories  ...  with the hierarchical structure based on cloud computing architecture, [16] proposed cloud-based multi-agent system as a distributed control architecture for Smart Micro Grids.  ... 
doi:10.1109/picmet.2015.7273227 fatcat:iqk4mwybuve5hpzpj4whm6ikeu

Cooperative Multi-Agent Planning

Alejandro Torreño, Eva Onaindia, Antonín Komenda, Michal Štolba
2017 ACM Computing Surveys  
Cooperative multi-agent planning (MAP) is a relatively recent research field that combines technologies, algorithms and techniques developed by the Artificial Intelligence Planning and Multi-Agent Systems  ...  This paper reviews the most relevant approaches to MAP, putting the focus on the solvers that took part in the 2015 Competition of Distributed and Multi-Agent Planning, and classifies them according to  ...  Coordination is defined as a multi-agent decision-making process that allows agents to harmonize their planning activities.  ... 
doi:10.1145/3128584 fatcat:6dp2jxwcdrf6zgz5wnknqnmrye

Agent EXPRI: Licence to Explain [chapter]

Francesca Mosca, Ştefan Sarkadi, Jose M. Such, Peter McBurney
2020 Lecture Notes in Computer Science  
Online social networks are known to lack adequate multiuser privacy support. In this paper we present EXPRI, an agent architecture that aims to assist users in managing multi-user privacy conflicts.  ...  Such techniques provide the agent with the cognitive process that is necessary for explainability.  ...  However, some solution-concepts, like argumentation-based models, make it easier than others to meet the explainability requirement.  ... 
doi:10.1007/978-3-030-51924-7_2 fatcat:ulr4asll3zg5hl4lhzrwz6fj7i

Simulating Users in a Social Media Platform Using Multi-agent Systems [chapter]

Daniel Pérez, Estefanía Argente
2020 Lecture Notes in Computer Science  
For this reason, it has been considered necessary to develop a software tool based on a multi-agent system to help users to improve and correct their bad behavior by using automation mechanisms and transmitting  ...  Despite the efforts of social media platforms to provide their users with tools to manage their privacy, these are proving insufficient due to their complexity.  ...  In this project, a multi-agent system (MAS) oriented to social media will be developed to address the problem of privacy, offering each user a personalized agent to help them make decisions regarding the  ... 
doi:10.1007/978-3-030-61705-9_40 fatcat:jrhxqoh7ivh4phnhsx6mp2l5mm

Privacy-Preserving Design of Scalar LQG Control

Edoardo Ferrari, Yue Tian, Chenglong Sun, Zuxing Li, Chao Wang
2022 Entropy  
An eavesdropper is assumed to make a hypothesis testing the agent identity based on the intercepted environment state sequence.  ...  This paper shows that the optimal deterministic privacy-preserving LQG policy of Agent B is a linear mapping.  ...  linear Gaussian random policies in the remaining steps reduce to the optimal deterministic privacy-preserving LQG policies based on the same arguments.  ... 
doi:10.3390/e24070856 pmid:35885079 pmcid:PMC9323139 fatcat:7muxl7pb35cehl6fqpvhdmqjzi

Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy [article]

Vincent Pacelli, Anirudha Majumdar
2021 arXiv   pre-print
This paper addresses these challenges using the theory of differential privacy, which allows us to (i) design controllers with bounded sensitivity to errors in state estimates, and (ii) bound the amount  ...  a perfect state estimator, the magnitude of state estimation errors, and the level of differential privacy.  ...  Bounded Rationality and Robust Decision-Making Bounded rationality is a model of decision-making first introduced to address misalignment between economic theory based on rational agents and the reality  ... 
arXiv:2109.08262v1 fatcat:s5br47bgnjbjdjd6sbhwinbzhe

Contextual Integrity and Privacy Enforcing Norms for Virtual Communities

Yann Krupa, Laurent Vercouter
2010 Multi-Agent Logics, Languages, and Organisations Federated Workshops  
Most approaches take into account a sensitivity level or a "privacy circle": the information is said to be private or public and to be constrained to a given group of agents, e.g. "my friends".  ...  This framework is part of an ongoing work aiming at applying social control to agents that handle the information, so that malicious agents are excluded from the system.  ...  If the agent agrees with every primitive in the argument, then he can propagate the punishment message and punish the culprit by revising its trust.  ... 
dblp:conf/mallow/KrupaV10 fatcat:uppipbbh7zcshe2yyfokfp4a3a

Designing an Internet Traffic Predictive Model by Applying a Signal Processing Method

Soo-Yeon Ji, Seonho Choi, Dong Hyun Jeong
2014 Journal of Network and Systems Management  
In this study, we investigate data privacy and utility preservation using KNN machine learning classification as a gauge.  ...  Yet achieving the optimal balance between data privacy and utility needs has been documented as an NP-hard challenge.  ...  Acknowledgments This study is based on the work supported by US Army Research Office (ARO) Grant W911NF1310143.  ... 
doi:10.1007/s10922-014-9335-3 fatcat:luaehrjrtjhtlj6osufvxyhmxy
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