2,872 research outputs found
The Current State of Normative Agent-Based Systems
Recent years have seen an increase in the application of ideas from the social sciences to computational systems. Nowhere has this been more pronounced than in the domain of multiagent systems. Because multiagent systems are composed of multiple individual agents interacting with each other many parallels can be drawn to human and animal societies. One of the main challenges currently faced in multiagent systems research is that of social control. In particular, how can open multiagent systems be configured and organized given their constantly changing structure? One leading solution is to employ the use of social norms. In human societies, social norms are essential to regulation, coordination, and cooperation. The current trend of thinking is that these same principles can be applied to agent societies, of which multiagent systems are one type. In this article, we provide an introduction to and present a holistic viewpoint of the state of normative computing (computational solutions that employ ideas based on social norms.) To accomplish this, we (1) introduce social norms and their application to agent-based systems; (2) identify and describe a normative process abstracted from the existing research; and (3) discuss future directions for research in normative multiagent computing. The intent of this paper is to introduce new researchers to the ideas that underlie normative computing and survey the existing state of the art, as well as provide direction for future research.Norms, Normative Agents, Agents, Agent-Based System, Agent-Based Simulation, Agent-Based Modeling
Introduction to normative multiagent systems
This article introduces the research issues related to and definition of normative multiagent systems. It also describes the papers selected from NorMAS05 that are part of this double special issue and relates the papers to each other
OperA/ALIVE/OperettA
Comprehensive models for organizations must, on the one hand, be able to specify global goals and requirements but, on the other hand, cannot assume that particular actors will always act according to the needs and expectations of the system design. Concepts as organizational rules (Zambonelli 2002), norms and institutions (Dignum and Dignum 2001; Esteva et al. 2002), and social structures (Parunak and Odell 2002) arise from the idea that the effective engineering of organizations needs high-level, actor-independent concepts and abstractions that explicitly define the organization in which agents live (Zambonelli 2002).Peer ReviewedPostprint (author's final draft
Industrial Symbiotic Networks as Coordinated Games
We present an approach for implementing a specific form of collaborative
industrial practices-called Industrial Symbiotic Networks (ISNs)-as MC-Net
cooperative games and address the so called ISN implementation problem. This
is, the characteristics of ISNs may lead to inapplicability of fair and stable
benefit allocation methods even if the collaboration is a collectively desired
one. Inspired by realistic ISN scenarios and the literature on normative
multi-agent systems, we consider regulations and normative socioeconomic
policies as two elements that in combination with ISN games resolve the
situation and result in the concept of coordinated ISNs.Comment: 3 pages, Proc. of the 17th International Conference on Autonomous
Agents and Multiagent Systems (AAMAS 2018
Detection and resolution of normative conflicts in multi-agent systems : a literature survey
Peer reviewedPostprin
Constraint rule-based programming of norms for electronic institutions
Peer reviewedPostprin
Online Automated Synthesis of Compact Normative Systems
Peer reviewedPostprin
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