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Related Experiment Video

Updated: May 26, 2026

A Naturalistic Setup for Presenting Real People and Live Actions in Experimental Psychology and Cognitive Neuroscience Studies

A Naturalistic Setup for Presenting Real People and Live Actions in Experimental Psychology and Cognitive Neuroscience Studies

Published on: August 4, 2023

From actors to agents in socio-ecological systems models.

M D A Rounsevell¹, D T Robinson, D Murray-Rust

¹School of Geosciences, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, UK. mark.rounsevell@ed.ac.uk

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences

|December 7, 2011

Summary

Agent-based modeling (ABM) offers new ways to represent human behavior in socio-ecological systems (SESs). Developing human functional types can help scale ABM for broader ecosystem service applications.

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Area of Science:

Socio-ecological systems modeling
Environmental social science
Computational social science

Background:

The ecosystem service concept highlights human roles in socio-ecological systems (SESs).
Existing SES models often lack detailed representation of human behavior and decision-making.
Agent-based modeling (ABM) offers a promising approach to address this gap.

Purpose of the Study:

To review and discuss alternative methods for representing human behavior in SES models using ABM.
To explore empirical grounding of ABM through social surveys.
To propose advancements for scaling ABM in SES research.

Main Methods:

Literature review of ABM applications in SES.
Conceptual development of 'human functional types' analogous to plant functional types.
Discussion on integrating institutional agents and human-environment coupling.

Main Results:

ABM provides a flexible framework for modeling human behavior and decision-making in SESs.
Empirical grounding via social surveys enhances ABM realism.
The concept of human functional types facilitates scaling ABM to larger geographical areas.

Conclusions:

Advancing ABM requires generalizing beyond case studies and incorporating human functional types.
Representing institutional agents is crucial for understanding governance and policy feedbacks.
Improved coupling of human-environment systems will enhance the application of the ecosystem service concept.