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Simple or complicated agent-based models? A complicated issue

Zhanli Sun, Iris Lorscheid, James D. Millington, Steffen Lauf, Nicholas R. Magliocca, Jürgen Groeneveld, Stefano Balbi, Henning Nolzen, Birgit Müller, Jule Schulze, Carsten M. Buchmann
2016 Environmental Modelling & Software  
A famous example is the segregation model by Schelling (1969) , based on a simple rule specifying where and under what condition individuals relocate.  ...  Agent-based models (ABMs) have become a well-established approach for studying complex humanenvironmental systems, such as land-use systems, by explicitly modelling decision-making and dynamic interactions  ...  First, the purpose of the model is central and therefore guides the decision about the development of a simple or a more complicated ABM.  ... 
doi:10.1016/j.envsoft.2016.09.006 fatcat:4cdgz5exxzcj3oel5fpddx2goa

Cell Transplantation: A Possible Alternative to Orthotopic Liver Transplant (OLT) [chapter]

Kristen Skvorak, Roberto Gramignoli, Marc Hansel, Suleyman Uraz, Veysel Tahan, Kenneth Dorko, Fabio Marongiu, Stephen Strom
2012 Liver Transplantation - Technical Issues and Complications  
or repeated use in patients with liver-based metabolic disorders.  ...  Cell Transplantation: A Possible Alternative to Orthotopic Liver Transplant (OLT), Liver Transplantation -Technical Issues and Complications, Prof.  ... 
doi:10.5772/29903 fatcat:zm32ig64drcgrgzbges6fyczyy

User Modelling

Derek H. Sleeman, Douglas E. Appelt, Kurt Konolige, Elaine Rich, N. S. Sridharan, William R. Swartout
1985 International Joint Conference on Artificial Intelligence  
Plan recognition relies mostly on domain-based heuristics; and is less dependent on modelling the user, his beliefs or plans.  ...  Framework for discussion of user modelling Very simple user models suffice for a number of tasks. In spelling correction a simple model of user errors, rather than plans, can be immediately helpful.  ... 
dblp:conf/ijcai/SleemanAKRSS85 fatcat:rjl7mc2zsjffbbbfxxvu22wo5i

Modeling Supply Chain Formation in Multiagent Systems [chapter]

William E. Walsh, Michael P. Wellman
2000 Lecture Notes in Computer Science  
The problem is complex and challenging, and a complete model must encompass a number of issues.  ...  In this paper we highlight some issues that must be understood to make progress in modeling supply chain formation. ? c Springer-Verlag.  ...  Acknowledgments This work was supported by a NASA/Jet Propulsion Laboratory Graduate Student Researcher fellowship and DARPA grant F30602-97-1-0228 from the Information Survivability program.  ... 
doi:10.1007/10720026_5 fatcat:uxcaktzhynbw7pdmpvhffozf2m

Agent-Based Modeling of Social Complex Systems [chapter]

Candelaria Sansores, Juan Pavón
2006 Lecture Notes in Computer Science  
Agent based modeling (ABM) is well fitted for the study of social systems as it focuses on how local interactions among agents generate emergent larger and global social structures and patterns of behavior  ...  This thesis proposal aims to provide a new approach to the study of complex adaptive systems in social sciences through a methodological framework for modeling and simulating these systems like artificial  ...  Agent Based Modeling Open Issues As agent-based simulation has gained in popularity, software tools for modelers are emerging.  ... 
doi:10.1007/11881216_11 fatcat:fbqpjibtbrbqrcxbembzedoa3q

Principles and State of the Art of Agent-Based Migration Modelling [chapter]

Martin Hinsch, Jakub Bijak
2021 Towards Bayesian Model-Based Demography  
Understanding migration and its consequences therefore necessitates adopting a careful analytical approach using appropriate tools, such as agent-based models.  ...  This chapter provides a general discussion of the key tenets related to modelling complex systems, followed by a review of the current state of the art in the simulation modelling of migration.  ...  This is no easy task for a simple model, but even less so for a complicated agent-based model.  ... 
doi:10.1007/978-3-030-83039-7_3 fatcat:nu7qhzcnl5de5oszypi3bc7ska

Modeling Complexity in Multi-modal Adaptive Survey Systems

Fred Highland
2014 Procedia Computer Science  
The model uses agent-based modeling (ABM) approaches with independent agents representing the major elements of the system.  ...  In terms of commonly used definitions for complex adaptive systems 3 : Uses simple components or agents -While the components may not be simple in their implementation, their behaviors are.  ... 
doi:10.1016/j.procs.2014.09.079 fatcat:d3lzlzl7gzdylho3kgwl76hd5q

Agent-Based Modeling (ABM) [chapter]

Thomas Metz
2017 Neue Trends in den Sozialwissenschaften  
For tackling such a limitation, the agent-based models (ABMs) 1 have been developed.  ...  As the most powerful methodology for CAS modeling, agent-based modeling (ABM) has gained a growing popularity among academics and practitioners.  ...  Conclusion Agent-based modeling (ABM) has a high potentiality for modeling systems that are very hard or often impossible to capture by traditional modeling techniques such as partial differential equations  ... 
doi:10.1007/978-3-658-17189-6_2 fatcat:nwkoexgzxjaq7a5eks2os6x3hu

Individual behavior and macro social properties. An agent-based model

Riccardo Boero, Marco Castellani, Flaminio Squazzoni
2008 Computational and mathematical organization theory  
Our model is based on different simulation settings characterized by a gradual sophistication of behavior of agents, from simple heuristics to macro-micro feedback and other second-order properties.  ...  The paper aims at presenting an agent-based modeling exercise to illustrate how small differences in the cognitive properties of agents can generate very different macro social properties.  ...  To explore these issues, we have used an agent-based model (hereafter, ABM).  ... 
doi:10.1007/s10588-008-9025-3 fatcat:ygk6douwcjdifabpgamejqxtcq

Agent-Based Modeling

Joshua Conrad Jackson, David Rand, Kevin Lewis, Michael I. Norton, Kurt Gray
2017 Social Psychology and Personality Science  
Agent-based modeling is a longstanding but under-used method that allows researchers to simulate artificial worlds for hypothesis testing and theory building.  ...  Agent-based models (ABMs) offer unprecedented control and statistical power by allowing researchers to precisely specify the behavior of any number of agents and observe their interactions over time.  ...  Maxim for Bad ABMs: Introduce complexity by taking a simple phenomenon and inventing complicated rules to explain it.  ... 
doi:10.1177/1948550617691100 fatcat:qzlz4cyaybcv3e76aq4rytdcgi

Spatial process and data models: Toward integration of agent-based models and GIS

Daniel G. Brown, Rick Riolo, Derek T. Robinson, Michael North, William Rand
2005 Journal of Geographical Systems  
geographic data (fields and objects) and agent-based process models can interact: identity, causal, temporal and topological.  ...  We discuss approaches to implementing tight integration, focusing on a middleware approach that links existing GIS and ABM development platforms, and illustrate the need and approaches with example agent-based  ...  Further complicating the issue of temporal relationships are models in which there are dynamic processes that are, more or less, independent of the dynamic processes represented by agents (e.g.  ... 
doi:10.1007/s10109-005-0148-5 fatcat:u4fqs7gvavdojgnw77tket37da

Staged Models for Interdisciplinary Research

Luis F. Lafuerza, Louise Dyson, Bruce Edmonds, Alan J. McKane, Rodrigo Huerta-Quintanilla
2016 PLoS ONE  
Modellers of complex biological or social systems are often faced with an invidious choice: to use simple models with few mechanisms that can be fully analysed, or to construct complicated models that  ...  We discuss a method that combines these two approaches, beginning with a complex model and then modelling the complicated model with simpler models.  ...  In such cases, the scientist is faced with an invidious choice: to use a simple model that can be rigorously understood but does not adequately capture the phenomena of interest; or to use a complex model  ... 
doi:10.1371/journal.pone.0157261 pmid:27362836 pmcid:PMC4928782 fatcat:xfk6ehsrrjharhpdychfactrxy

Agent-based modelling of socio-ecological systems: Models, projects and ontologies

Nicholas M. Gotts, George A.K. van Voorn, J. Gareth Polhill, Eline de Jong, Bruce Edmonds, Gert Jan Hofstede, Ruth Meyer
2018 Ecological Complexity : An International Journal on Biocomplexity in the Environment and Theoretical Ecology  
We argue that agent-based models (ABMs) are an essential tool in an SES modelling project, but their expressivity, which is their major advantage, also produces problems with model transparency and validation  ...  We recommend thinking in terms of modelling projects rather than single models. Such a project may involve multiple models adopting di↵erent modelling methods.  ...  A more complicated use is where a model is used to develop a shared 362 representation or a vehicle for discussing issues in common.  ... 
doi:10.1016/j.ecocom.2018.07.007 fatcat:cb2ajhackzepzaqpopyctrjd4a

Simple Urban Simulation Atop Complicated Models: Multi-Scale Equation-Free Computing of Sprawl Using Geographic Automata

Paul Torrens, Yannis Kevrekidis, Roger Ghanem, Yu Zou
2013 Entropy  
Reconciling competing desires to build urban models that can be simple and complicated is something of a grand challenge for urban simulation.  ...  We use Equation-Free computing to deploy population as a coarse observable of sprawl, which can be leveraged to run automata-based models as short-burst experiments within a meta-simulation framework.  ...  Acknowledgements This material is based upon work supported by the National Science Foundation under Grants No. 1231873 and 1002517.  ... 
doi:10.3390/e15072606 fatcat:hvqscf2g4regpmvybgnpry7toy

Computational Optimization, Modelling and Simulation: Smart Algorithms and Better Models

Xin-She Yang, Slawomir Koziel, Leifur Leifsson
2012 Procedia Computer Science  
This third workshop on Computational Optimization, Modelling and Simulation (COMS 2012) at ICCS 2012 will further summarize the latest developments of optimization and modelling and their applications  ...  Also, new challenges emerge when attempting to attack problems whose solution by means of simulation-based optimization was not even possible in the past.  ...  Liu et al. present a spatially explicit agent-based simulator of beef cattle movements.  ... 
doi:10.1016/j.procs.2012.04.091 fatcat:odx5nxavpfgahfbtsz3mx66an4
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