Multi-Agent-Based Simulation X
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TL;DR: This work presents a data-Driven Agent-Based Model on the Evolution of Trust in Strangers and Division of Labour and a Multi-environment Multi-agent Simulation Framework for Self-organizing Systems.
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Abstract: Urban and Environmental Modelling.- Cumulative Effects and Emergent Properties of Multiple-Use Natural Resources.- Micro-scale Simulation of the Macro Urban Form: Opportunities for Exploring Urban Change and Adaptation.- Simulation of Economic Behaviour.- An Agent-Based Framework for Assessing the Cost of Committal Search in Supply Networks.- Does Cognitive Capacity Matter When Learning Using Genetic Programming in Double Auction Markets?.- A Multi-Agent System for Adaptive Production Networks.- Methods and Methodologies.- A Multi-environment Multi-agent Simulation Framework for Self-organizing Systems.- Software Development Process Simulation: Multi Agent-Based Simulation versus System Dynamics.- Agent-Based Simulations with Beliefs and SPARQL-Based Ask-Reply Communication.- Stigmergic Modeling of Hierarchical Task Networks.- Modelling of Social Phenomena.- The Impact of Naive Agents in Heterogeneous Trust-Aware Societies.- HUME1.0 - An Agent-Based Model on the Evolution of Trust in Strangers and Division of Labour.- Mentat: A Data-Driven Agent-Based Simulation of Social Values Evolution.
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Agent-Based Modeling for Urban Development Planning based on Human Needs. Conceptual Basis and Model Formulation
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An integrated economic, environmental and social approach to agricultural land-use planning
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A Global review of cumulative effects assessments of disturbances on forest ecosystems
TL;DR: In this paper , the authors identified 148 peer-reviewed literature published between 1986 and 2022 and conducted an inductive and deductive thematic analysis of the results, finding that most publications from authors affiliated with government agencies in the USA and Canada.
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Comparative analysis of agent-based and population-based modelling in epidemics and economics
TL;DR: Comparison of population-based simulation in comparison to agent- based simulation for different numbers of agents and the interplay between individual greed as a psychological concept and global economical concepts shows that under certain conditions agent-based and population- based simulations may show similar results, but not always.
References
Stigmergic modeling of hierarchical task networks
H. Van Dyke Parunak,Theodore C. Belding,Robert Bisson,Sven Brueckner,Elizabeth Downs,Rainer Hilscher,Keith Decker +6 more
- 11 May 2009
TL;DR: This work shows how stigmergic agents can plan over a hierarchical task network, specifically a resource-oriented dialect of the TAEMS language.
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