Expert modelling

Stuart Kininmonth*, Steven Gray, Kasper Kok

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Chapter 16 focuses on expert models, which are computer-based models that can mimic (or outperform) the decisions of a human expert. Expert models belong to the field of artificial intelligence and essentially use inference techniques to deduce novel information of the system under study. The chapter discusses Bayesian networks and fuzzy cognitive maps. It goes on to discuss the types of social-ecological systems (SES)problems and research questions commonly addressed by this set of methods, as well as their limitations, resource implications and new emerging research directions. The chapter also includes an in-depth case study showcasing the application of expert models, and suggested further readings on these methods.
Original languageEnglish
Title of host publicationThe Routledge Handbook of Research Methods for Social-Ecological Systems
EditorsR. Biggs, A. de Vos, R. Preiser, H. Clements, K. Maciejewski, M. Schlüter
PublisherTaylor and Francis
Pages231-240
Number of pages10
ISBN (Electronic)9781000401516
ISBN (Print)9781032020761
DOIs
Publication statusPublished - 30 Jul 2021

Fingerprint

Dive into the research topics of 'Expert modelling'. Together they form a unique fingerprint.

Cite this