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Future Developments in Geographical Agent‐Based Models: Challenges and Opportunities
Geographical Analysis, 2020 Despite reaching a point of acceptance as a research tool across the geographical and social sciences, there remain significant methodological challenges for agent‐based models.
A. Heppenstall +5 more
semanticscholar +1 more source
Empirically Based, Agent-based models
Ecology and Society, 2006 There is an increasing drive to combine agent-based models with empirical methods. An overview is provided of the various empirical methods that are used for different kinds of questions.
Marco A. Janssen, Elinor Ostrom
doaj +1 more source
Voter-like Dynamics with Conflicting Preferences on Modular Networks
Entropy, 2023 Two of the main factors shaping an individual’s opinion are social coordination and personal preferences, or personal biases. To understand the role of those and that of the topology of the network of interactions, we study an extension of the voter ...
Filippo Zimmaro +2 more
doaj +1 more source
Agent-Based Pedestrian Modeling [PDF]
Environment and Planning B: Planning and Design, 2001 When the focus of interest in geographical systems is at the very fine scale, at the level of streets and buildings for example, movement becomes central to simulations of how spatial activities are used and develop. Recent advances in computing power and the acquisition of fine scale digital data now mean that we are able to attempt to understand ...
openaire +2 more sources
Frontiers in Immunology, 2015 Agent-based modeling has been used to characterize the nested control loops and nonlinear dynamics associated with inflammatory and immune responses, particularly as a means of visualizing putative mechanistic hypotheses.
Gary eAn
doaj +1 more source
Agent-based models and individualism: is the world agent-based? [PDF]
, 2000 Agent-based models (ABMs) are an increasingly popular tool in the social sciences. This trend seems likely to continue, so that they will become widely used in geography and in urban and regional planning.
Haklay, M, O'Sullivan, D
core +1 more source
Frontiers in Bioengineering and Biotechnology, 2021 The widespread incidence of cardiovascular diseases and associated mortality and morbidity, along with the advent of powerful computational resources, have fostered an extensive research in computational modeling of vascular pathophysiology field and ...
Anna Corti +9 more
doaj +1 more source
Annual Review of Political Science, 2014 Agent-based models (ABMs) provide a methodology to explore systems of interacting, adaptive, diverse, spatially situated actors. Outcomes in ABMs can be equilibrium points, equilibrium distributions, cycles, randomness, or complex patterns; these outcomes are not directly determined by assumptions but instead emerge from the interactions of actors in ...
Scott de Marchi, Scott E. Page
openaire +1 more source
Agent-based models of collective intelligence [PDF]
Physics of Life Reviews, 2018 Collective or group intelligence is manifested in the fact that a team of cooperating agents can solve problems more efficiently than when those agents work in isolation.
S. M. Reia, A. Amado, J. Fontanari
semanticscholar +1 more source
Agent-Based Models as “Interested Amateurs”
Land, 2015 This paper proposes the use of agent-based models (ABMs) as “interested amateurs” in policy making, and uses the example of the SWAP model of soil and water conservation adoption to demonstrate the potential of this approach.
Peter George Johnson
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