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Social rules for agent systems [article]

René Mellema, Maarten Jensen, Frank Dignum
2021 arXiv   pre-print
When creating (open) agent systems it has become common practice to use social concepts such as social practices, norms and conventions to model the way the interactions between the agents are regulated  ...  Therefore there is hardly any research on how these social concepts relate and when each of them emerges or evolves from another concept.  ...  Introduction In the last twenty years several social rules such as conventions, norms and recently also social practices, rituals and habits have been used to model agent behaviour in multi-agent systems  ... 
arXiv:2004.12797v2 fatcat:ajo64rhd3fd6tbrz2nutk6bkey

A Rule Language for Modelling and Monitoring Social Expectations in Multi-agent Systems [chapter]

Stephen Cranefield
2006 Lecture Notes in Computer Science  
Abstract This paper proposes a rule language for defining social expectations based on a metric interval temporal logic with past and future modalities and a current time binding operator.  ...  An algorithm for run-time monitoring compliance of rules in this language based on formula progression is also presented.  ...  Acknowledgements Thanks to Hans van Ditmarsch and Willem Labuschagne for their comments on a draft of this paper.  ... 
doi:10.1007/11775331_17 fatcat:vrnwdmmhwvfzhgyvkepr6jyvmi

NORM NEGOTIATION IN MULTIAGENT SYSTEMS

GUIDO BOELLA, LEENDERT VAN DER TORRE
2007 International Journal of Cooperative Information Systems  
Normative multiagent systems provide agents with abilities to autonomously devise societies and organizations coordinating their behavior via social norms and laws.  ...  First individual agents or their representatives negotiate social goals, then a social goal is negotiated in a social norm, and finally the social norm is accepted by the agents when it leads to fulfilment  ...  of artificial social systems for stable social laws. 36 The desires of the agents are represented by their utilities.  ... 
doi:10.1142/s0218843007001585 fatcat:5siijh4kkrbezntf7mabkv4yty

A hybrid agent based virtual organization for studying knowledge evolution in social systems

Sujatha Srinivasan, Sivakumar Ramakrishnan
2012 Artificial intelligence research  
CA's have been used for modeling the evolution of complex social systems, for re-engineering rule based systems, for data mining, and for solving optimization problems.  ...  Thus the proposed system integrates Social Computing with Data mining to create an Agent Based Virtual Organization (ABVO) for producing decision making rules.  ...  of a social system.  ... 
doi:10.5430/air.v1n2p99 fatcat:7d6ag7qcsraynjjqnetpbn27be

Multiagent System Engineering: The Coordination Viewpoint [chapter]

Paolo Ciancarini, Andrea Omicini, Franco Zambonelli
2000 Lecture Notes in Computer Science  
The paper focuses on the design of multiagent systems and argues that traditional approaches fall short when dealing with complex multiagent systems.  ...  On this basis, this paper shows how an approach based on coordination models can help in the design of multiagent systems.  ...  Accordingly, the social issue of a multiagent system should be accounted for since the earliest design phases, and social rules and collective behaviour should be the subjects of a separate design phase  ... 
doi:10.1007/10719619_19 fatcat:i2kcqullovdszjddzqduktueme

The Sociology of Complex Systems: An Overview of Actor-System-Dynamics Theory

TOM R. BURNS
2006 World Futures : Journal of General Evolution  
This is done, in part, by showing how key social science concepts are readily incorporated and applied in social system analysis.  ...  The article outlines a systems theoretic approach, actor-system-dynamics (ASD), whose authors have strived to re-establish systems theorizing in the social sciences (after a period of marginalization since  ...  Through their interactions, social agents reproduce, elaborate, and transform social structures (for instance, institutional arrangements and cultural formations based on rule systems) as well as material  ... 
doi:10.1080/02604020600798619 fatcat:h747mft3lfgbbjtqbxoss67cga

An Infection-Based Mechanism for Self-Adaptation in Multi-agent Complex Networks

Norman Salazar, Juan A. Rodriguez-Aguilar, Josep Lluis Arcos
2008 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems  
Distributed mechanisms that regulate the behavior of autonomous agents in open multi-agent systems (MAS) are of high interest since we cannot employ centralized approaches relying on global knowledge.  ...  To this end we propose a computational self-adapting mechanism that facilitates agents to distributively evolve their social behavior to reach the best social conventions.  ...  Acknowledgments The authors thank CONACyT for the scholarship of the first author.  ... 
doi:10.1109/saso.2008.65 dblp:conf/saso/SalazarRA08 fatcat:2z53gxtpr5bshajiahxvelj5by

Restructuration and Systemic Change: Haugaard's Discussion of the Importance of Others in the Theory of Structuration

Martin Javornicky
2016 Philosophica Critica  
The process of structuration takes place within the context of already established social systems that allow for a degree of predictability of agents' social world.  ...  Agents no longer can rely on this rule in similar social circumstances and the likelihood that they use this particular rule again decreases. Confirm-structuration is central to systemic stability.  ... 
doi:10.17846/pc.2019.2.2.87-101 fatcat:6stxkudw5jdjpenhxvesw2n6ey

Social Choice Theory as a Foundation for Multiagent Systems [chapter]

Ulle Endriss
2014 Lecture Notes in Computer Science  
Social choice theory is the study of mechanisms for collective decision making.  ...  modelling and analysing political decision making in groups of people, its basic principles, arguably, are equally relevant to modelling and analysing the kinds of interaction taking place in a multiagent system  ...  In social choice theory we ask questions such as "what is good for this group?", while we ask "what is good for this agent?"  ... 
doi:10.1007/978-3-319-11584-9_1 fatcat:p6ozq4udqfgtrivq7bc3gxths4

Learning social behavior

Maja J. Matarić
1997 Robotics and Autonomous Systems  
Lnteractions, in this paper we describe how, given the substrate, greedy agents can learn social rules that benefit the group ',as a whole.  ...  We describe three sources of reinforcement and show their effectiveness in learning nongreedy social rules.  ...  Complex Systems and the Computer Science Department.  ... 
doi:10.1016/s0921-8890(96)00068-1 fatcat:d4a3vpw4znfzhcf26s3ghgr5le

Towards Multi-Level Semantics for Multi-Agent Systems

Alison R. Panisson, Rafael H. Bordini, Antônio Carlos da Rocha Costa
2016 Electronical Notes in Theoretical Computer Science  
This characteristic makes evident the need for communications (interaction) between agents in the system, hence requiring some sort of social ability for cooperation and coordination [6] .  ...  As multi-agent systems are complex systems, it is difficult to formalise all relevant aspects of such system as a single transition system, and even transition systems for a single agent can easily become  ...  " rules introduced by Searle in [25] and recently used in the multi-agent systems context for example in [10] .  ... 
doi:10.1016/j.entcs.2016.09.011 fatcat:63gqnrzql5fzjfczobunt3zviy

Δ: The Social Delegation Cycle [chapter]

Guido Boella, Leendert van der Torre
2004 Lecture Notes in Computer Science  
We formalize the social delegation cycle by formalizing goal generation as a merging process of the individual agent desires, we formalize norm creation as a planning process for both the obligation and  ...  In this paper we consider the relation between desires and obligations in normative multiagent systems.  ...  For example, quantification over rules means that it is schema: there is a set of rules, one for each agent involved. Since the set of agents A is finite, we are still in propositional logic.  ... 
doi:10.1007/978-3-540-25927-5_4 fatcat:3lcnjbnjcjcpvnoo2fjinmpmnm

Price of Fairness in Budget Division for Egalitarian Social Welfare [article]

Zhongzheng Tang, Chenhao Wang, Mengqi Zhang
2020 arXiv   pre-print
We are also interested in the performance of several aggregation rules. Asymptotically tight bounds are provided both for the price of fairness and the efficiency guarantee of aggregation rules.  ...  ., in measuring the system efficiency loss under a fair allocation compared to the one that maximizes (egalitarian) social welfare. This indicator is called the price of fairness.  ...  Acknowledge The authors thank Xiaodong Hu and Xujin Chen for their helpful discussions, and anonymous referees for their valuable feedback.  ... 
arXiv:2010.09637v2 fatcat:hbz7dpdzubakjouzmdajyg66ia

Ethical Trust and Social Moral Norms Simulation: A Bio-inspired Agent-Based Modelling Approach

Hock Chuan Lim, Rob Stocker, Henry Larkin
2008 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
The complex adaptive nature of social systems adds to the challenges of understanding social interactions and system feedback and presents substantial scope and potential for extending the frontiers of  ...  of the bigger micro-macro link of social systems.  ...  model to allow for second order system feedback; the ethical output (EO) agent -this agent contains cases as output from the tier-1 of CMET; and the memory (MEM) agent -contains the rules for adaptive  ... 
doi:10.1109/wiiat.2008.184 dblp:conf/iat/LimSL08 fatcat:6tg53epeivejtglzjzzm5eoxhe

Opinion Modeling Based on Meta-synthesis Approach [chapter]

Yijun Liu
2009 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
Society is an open complex giant system (OCGS), in which controlling social opinion is a more complex system engineering project.  ...  Next, combined concept modeling as a qualitative analysis method with multi-agent modeling as a quantitative simulation tool based on meta-synthesis approach is applied to the social opinion on exploring  ...  Systemic Models for Opinion Systems Science focuses on the structure, function (including evolution, coordination and control) and general rules.  ... 
doi:10.1007/978-3-642-02469-6_112 fatcat:epkcxl3zpbgqxlut3mrzazcpim
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