Search results for "Artificial society"

showing 10 items of 13 documents

A Generative Model of the Mutual Escalation of Anxiety Between Religious Groups

2018

We propose a generative agent-based model of the emergence and escalation of xenophobic anxiety in which individuals from two different religious groups encounter various hazards within an artificial society. The architecture of the model is informed by several empirically validated theories about the role of religion in intergroup conflict. Our results identify some of the conditions and mechanisms that engender the intensification of anxiety within and between religious groups. We define mutually escalating xenophobic anxiety as the increase of the average level of anxiety of the agents in both groups over time. Trace validation techniques show that the most common conditions under which …

Agent-based model060303 religions & theologyRadicalizationReligious violenceArtificial societymedia_common.quotation_subjectGroup conflictGeneral Social Sciences06 humanities and the arts0603 philosophy ethics and religion01 natural sciences010305 fluids & plasmasXenophobia0103 physical sciencesComputer Science (miscellaneous)medicineAnxietymedicine.symptomPsychologySocial identity theorySocial psychologymedia_commonJournal of Artificial Societies and Social Simulation
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The Artificial Society Analytics Platform

2020

Author's accepted manuscript Social simulation routinely involves the construction of artificial societies and agents within such societies. Currently there is insufficient discussion of best practices regarding the construction process. This chapter introduces the artificial society analytics platform (ASAP) as a way to spark discussion of best practices. ASAP is designed to be an extensible architecture capable of functioning as the core of many different types of inquiries into social dynamics. Here we describe ASAP, focusing on design decisions in several key areas, thereby exposing our assumptions and reasoning to critical scrutiny, hoping for discussion that can advance debate over be…

Agent-based modelAgent-based ModellingComputer scienceProcess (engineering)business.industryArtificial societyBest practiceData scienceSocial dynamicsAnalyticsCredibilityVDP::Samfunnsvitenskap: 200businessVDP::Samfunnsvitenskap: 200::Urbanisme og fysisk planlegging: 230Social simulation
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InCREDulity in Artificial Societies

2021

This paper describes an artificial society in which the simulated agents behave and interact based on a computational architecture informed by insights from one of the leading social psychological theories in the scientific study of secularization and religion: “credibility-enhancing displays” (or CREDs) theory. After introducing the key elements of the theory and outlining the computational architecture of our CRED model, we present some of our initial simulation results. These efforts are intended to advance the quest within social simulation for more authentic artificial societies and more plausible human-like agents with complex interactive and interpretative capacities.

Agent-based modelCognitive scienceComputational architectureComputer scienceArtificial societySecularizationKey (cryptography)Scientific studySocial simulation
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A Generic Agent-Based Model of Historical Social Behaviors Change

2016

The primary theme of this chapter is trying to describe, discuss and understand how human societies change over time using agent-based modeling. Agents become a major paradigm of social simulation allow us to model the complex social phenomena under the bottom-up approach. Certainly one of the key points of the bottom-up approach is the emergence of macro level phenomena from micro level actions and interactions. The main objective of this work is to build a Virtual Social Laboratory, from Rafael Pla Lopez Social evolution model, in order to explore the social evolution of a set of artificial societies/agents that evolve within a grid of cells which are characterized by a level of natural r…

Agent-based modelComputer scienceHuman migrationbusiness.industryProcess (engineering)Artificial society05 social sciences050905 science studiesData science0502 economics and businessSocial conflict0509 other social sciencesSocial evolutionbusinessSocial psychology050203 business & managementSocial simulationSocial behavior
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A Theoretical Agent-Based Model to simulate an Artificial Social Evolution

2013

Agent-based social simulation as a computational approach to social simulation has been largely used to explore social phenomena. The purpose of this paper is to build a theoretical agent-based model to simulate the social evolution of a set of agents/artificial societies. In this model, each agent (artificial society) has an available number of social behaviours that compete among each other. The agent/agent interactions are carried out by their social otherwise, the agent/environment interactions are expressed through the consumption of ecological resources in repression and satisfaction by social behaviours of the agent. In this work, we will present the structure and the formulation of …

Agent-based modelStructure (mathematical logic)Information Systems and ManagementProcess (engineering)Management sciencebusiness.industryStrategy and ManagementArtificial societyGeneral Social SciencesAgent-based social simulationGlobalizationSociologyArtificial intelligenceSocial evolutionbusinessSocial simulationSystems Research and Behavioral Science
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A Bacterial-Based Algorithm to Simulate Complex Adaptative Systems

2014

Paper presented at the 13th International Conference on Simulation of Adaptive Behavior which took place at Castellón, Spain in 2014, July 22-25. Bacteria have demonstrated an amazing capacity to overcome envi-ronmental changes by collective adaptation through genetic exchanges. Using a distributed communication system and sharing individual strategies, bacteria propagate mutations as innovations that allow them to survive in different envi-ronments. In this paper we present an agent-based model which is inspired by bacterial conjugation of DNA plasmids. In our approach, agents with bounded rationality interact in a common environment guided by local rules, leading to Complex Adaptive Syste…

Artificial SocietyComputer sciencebusiness.industryComplex Adaptive SystemsArtificial societyBacterial conjugationAutonomous agentCASComplexityCommunications systemBounded rationalityBiblioteconomía y DocumentaciónP2P SocietyBacterial-based AlgorithmsCollective adaptationArtificial intelligenceComplex adaptive systemAdaptation (computer science)businessAlgorithm
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Coordination and Sociability for Intelligent Virtual Agents

2008

This paper presents a multi-agent framework designed to simulate synthetic humans that properly balance task oriented and social behaviors. The work presented in this paper focuses on the social library integrated in BDI agents to provide socially acceptable decisions. We propose the use of ontologies to define the social relations within an artificial society and the use of a market based mechanism to reach sociability by means of task exchanges. The social model balances rationality, to control the global coordination of the group, and sociability, to simulate relations (e.g. friendliness) and reciprocity among agents. The multi-agent framework has been tested successfully in dynamic envi…

Computer scienceHuman–computer interactionReciprocity (social psychology)Artificial societySocial competenceSocial psychologySocial relationTask (project management)Social simulationSocial behaviorVirtual actor
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Simulating socially intelligent agents in semantic virtual environments

2008

AbstractThe simulation of synthetic humans inhabiting virtual environments is a current research topic with a great number of behavioral problems to be tackled. Semantical virtual environments (SVEs) have recently been proposed not only to ease world modeling but also to enhance the agent–object and agent–agent interaction. Thus, we propose the use of ontologies to define the world’s knowledge base and to introduce semantic levels of detail that help the sensorization of complex scenes—containing lots of interactive objects. The object taxonomy also helps to create general and reusable operativity for autonomous characters—for example, liquids can be poured from containers such as bottles. …

Computer sciencebusiness.industryArtificial societyOntology (information science)Object (computer science)computer.software_genreSocial relationTask (project management)Intelligent agentKnowledge baseArtificial IntelligenceHuman–computer interactionTaxonomy (general)Artificial intelligencebusinesscomputerSoftwareThe Knowledge Engineering Review
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Modeling the Effects of Religious Belief and Affiliation on Prosociality

2021

To what extent do supernatural beliefs, group affiliation, and social interaction produce values and behaviors that benefit others, i.e., 'prosociality'? Addressing this question involves multiple variables interacting within complex social networks that shape and constrain the beliefs and behaviors of individuals. We examine the relationships among some of these factors utilizing data from the World Values Survey to inform the construction of an Agent-Based Model. The latter was able to identify the conditions under which – and the mechanisms by which – the prosociality of simulated agents was increased or decreased within an “artificial society” designed to reflect real world parameters. …

HistorySociology and Political Sciencemedia_common.quotation_subjectArtificial societyprosocialityBL1-2790Altruismsecularismprosociality; altruism; religion; secularism; affiliation; supernatural beliefsupernatural beliefGender StudiesPsychology Sociology StatisticsWorld Values SurveyaffiliationNaturalismmedia_commonSocial networkReligions. Mythology. Rationalismbusiness.industryReligious studiesIngroups and outgroupsSocial relationPhilosophyGroup AffiliationaltruismAnthropologyreligionbusinessPsychologySocial psychologyVDP::Humaniora: 000::Teologi og religionsvitenskap: 150::Religionsvitenskap religionshistorie: 153Secularism and Nonreligion
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Decentralization and heterogeneity in complex adaptative systems

2015

Purpose – Following a bacterial-based modeling approach, the authors want to model and analyze the impact of both decentralization and heterogeneity on group behavior and collective learning. The paper aims to discuss these issues. Design/methodology/approach – Inspired by bacterial conjugation, the authors have defined an artificial society in which agents’ strategies adapt to changes in resources location, allowing migration, and survival in a dynamic sugarscape-like scenario. To study the impact of these variables the authors have simulated a scenario in which resources are limited and localized. The authors also have defined three constraints in genetic information processing (inhibiti…

Process managementInformation theoryComputer scienceArtificial societyIntelligent agentsEmergenceInformation theorycomputer.software_genreSocial systemsTheoretical Computer ScienceIntelligent agentAutopoiesisComputer Science (miscellaneous)AdaptationComplex adaptive systemAdaptation (computer science)Engineering (miscellaneous)business.industryInformation processingCollaborative learningBiblioteconomía y DocumentaciónControl and Systems EngineeringMutation (genetic algorithm)Artificial intelligencebusinesscomputerSocial Sciences (miscellaneous)
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