Challenges, tasks, and opportunities in modeling agent-based complex systems
Humanity is facing many grand challenges at unprecedented rates, nearly everywhere, and
at all levels. Yet virtually all these challenges can be traced back to the decision and …
at all levels. Yet virtually all these challenges can be traced back to the decision and …
Theoretical foundations of human decision-making in agent-based land use models–A review
Recent reviews stated that the complex and context-dependent nature of human decision-
making resulted in ad-hoc representations of human decision in agent-based land use …
making resulted in ad-hoc representations of human decision in agent-based land use …
The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism
© 2020, University of Surrey. All rights reserved. The Overview, Design concepts and Details
(ODD) protocol for describing Individual-and Agent-Based Models (ABMs) is now widely …
(ODD) protocol for describing Individual-and Agent-Based Models (ABMs) is now widely …
A framework for map** and comparing behavioural theories in models of social-ecological systems
Formal models are commonly used in natural resource management (NRM) to study human-
environment interactions and inform policy making. In the majority of applications, human …
environment interactions and inform policy making. In the majority of applications, human …
The complexities of agent-based modeling output analysis
The proliferation of agent-based models (ABMs) in recent decades has motivated model
practitioners to improve the transparency, replicability, and trust in results derived from …
practitioners to improve the transparency, replicability, and trust in results derived from …
[KNIHA][B] Agent-based models
N Gilbert - 2019 - books.google.com
Agent-based simulation has become increasingly popular as a modeling approach in the
social sciences because it enables researchers to build models where individual entities …
social sciences because it enables researchers to build models where individual entities …
[HTML][HTML] Agent-based modelling of social-ecological systems: achievements, challenges, and a way forward
Understanding social-ecological systems (SES) is crucial to supporting the sustainable
management of resources. Agent-based modelling is a valuable tool to achieve this …
management of resources. Agent-based modelling is a valuable tool to achieve this …
Simple or complicated agent-based models? A complicated issue
Agent-based models (ABMs) are increasingly recognized as valuable tools in modelling
human-environmental systems, but challenges and critics remain. One pressing challenge …
human-environmental systems, but challenges and critics remain. One pressing challenge …
Decision-making in agent-based models of migration: State of the art and challenges
A Klabunde, F Willekens - European Journal of Population, 2016 - Springer
We review agent-based models (ABM) of human migration with respect to their decision-
making rules. The most prominent behavioural theories used as decision rules are the …
making rules. The most prominent behavioural theories used as decision rules are the …
Integrated assessment and modelling: overview and synthesis of salient dimensions
Integrated assessment and its inherent platform, integrated modelling, present an
opportunity to synthesize diverse knowledge, data, methods and perspectives into an …
opportunity to synthesize diverse knowledge, data, methods and perspectives into an …