Behaviour in commons dilemmas: Homo economicus and Homo psychologicus in an ecological-economic model

By Wander Jager, Marco A. Janssen, Herb de Vries, J. Greef, C. Vlek. 2000

305 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Safety Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/55f7a4112c67a44e2a18a61284567505d6ef5702

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In Management Science and Operations Research

In Safety Research

In Sociology and Political Science

Citations in the corpus

NEW HORIZONS FOR MANAGING THE ENVIRONMENT: A REVIEW OF COUPLED SOCIAL‐ECOLOGICAL SYSTEMS MODELING (2012, unknown): “, Jager et al. [2000]).”
The invisible wand: adaptive co-management as an emergent strategy in complex bio-economic system (2001, background): “Fuzzy logic rule bases (Kosko 1992, 1993; Bardossy and Duckstein 1995), strategic rules within repeated games (Gintis 2000a, b; Jager et al. 2000) and rule-based constraints on behaviour within experimental economics (Ostrom et al.”
Homo oeconomicus and homo politicus in Ecological Economics (2002, background): “We note that there may be other aspects of human action, which are of fundamental importance with respect to a sustainable development, such as a homo psychologicus (Jager et al., 2000) and a homo reciprocus (Gintis, 2000).”
Modeling human decisions in coupled human and natural systems: Review of agent-based models (2012, background): “These functions often 267 take an additive or exponential form of a weighted linear combination of many criteria under 268 consideration (e.g., Jager et al., 2000; Brown et al., 2004, 2006; Bennett and Tang, 2006; Liu et al., 2006; 269 Zellner et al., 2008; Chu et al., 2009; Le et al. 2008, 2010).”
Theoretical foundations of human decision-making in agent-based land use models - A review (2017, methodology): “Please note that the sum of papers using heuristics vs. optimization is larger than the total number of studies which is consistent since both methods can be implemented in the same study for example comparing different agent types (e.g. Jager et al., 2000).”
Agent-based simulation of innovation diffusion: a review (2011, background): “1994, 2000), distribution and supply restrictions (Jones and Ritz 1991; Jain et al. 1991), and promotion and advertising (Dodson and Muller 1978; Horsky and Simon 1983; Simon and Sebastian 1987; Dockner and Jorgensen 1988; Bass et al.”
Describing human decisions in agent-based models - ODD + D, an extension of the ODD protocol (2013, background): “They can also be heterogeneous in their decision-making in terms of the different decision models (e.g. Jager et al., 2000, applied in Acosta-Michlik and Espaldon, 2008 and in Murray-Rust et al., 2011) or in their decision objects.”
An agent-based approach to model future residential pressure on a regional landscape (2009, background): “This focus on the diversity of urban agents and their behaviour in time and in space contrasts with equilibrium-based urban economics models that are founded on a homogenous homo economicus population (Jager et al. 2000).”