Comparison of empirical methods for building agent-based models in land use science

By D. Robinson, Daniel G. Brown, Dawn Cassandra Parker, Pepijn Schreinemachers, Marco A. Janssen, M. Huigen, H. Wittmer, N. Gotts, P. Promburom, Elena G. Irwin and 3 more. 2007

302 citations recorded by the source corpus.

Subfields: Building and Construction, Global and Planetary Change, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/d13e1bf7ea62afa3e26aed43e819dd17a5b5e066

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In Building and Construction

Peter H. Verburg

In Global and Planetary Change

In Management, Monitoring, Policy and Law

Citations in the corpus

Understanding the relationships between ecosystem services and poverty alleviation: A conceptual framework (2014, unknown): “…to human behaviour, ABM diverts from assumptions associated with rational choice theory and neoclassical economics, informed instead by new institutional economics (e.g. Williamson, 2000), and potentially by empirical work (Janssen and Ostrom, 2006a, Robinson et al., 2007, Rounsevell et al., 2012).”
An agent‐based model of farmer decision‐making and water quality impacts at the watershed scale under markets for carbon allowances and a second‐generation biofuel crop (2011, unknown): “[37] For a binomially distributed variable, g 2 G, assume it has a prior characterized by a binomial-� distribution such that g is binomially distributed with an uncertain probability of success � g that, in turn, follows a � distribution with the shape parameters � g0 and � g0 . The binomial-� dist”
Spatial agent-based models for socio-ecological systems: Challenges and prospects (2013, background): “…and other environmental applications now employ a range of empirical techniques to create a typology of different decision making types and parameterize the decision making rules in the model based on household survey results (Robinson et al., 2007; Valbuena et al., 2008; Smajgl et al., 2011).”
The Complexities of Agent-Based Modeling Output Analysis (2015, background): “Despite significant progress made in empirically grounding ABM mechanisms and agent attributes (Robinson et al. 2007; Windrum et al. 2007; Smajgl et al. 2011), ABMs continue to harbour a considerable amount of subjectivity and hence degrees of freedom in the structure and intensity of agents'…”
Simulating soil fertility and poverty dynamics in Uganda: A bio-economic multi-agent systems approach (2007, background): “These models couple a cellular component representing a landscape with an agent-based component representing human decision-making (Parker et al., 2003; Robinson et al., 2007).”