Applications of ABM in International Legal Research: The Case of Compliance DOI

Katharina Luckner,

Veronika Fikfak

SSRN Electronic Journal, Journal Year: 2022, Volume and Issue: unknown

Published: Jan. 1, 2022

Agent-based modeling has been largely overlooked in international legal research, even though it could be used to gain insights into the highly complex processes of state behavior relevant law that can only insufficiently addressed with other methods. On basis a concrete application – compliance European Court Human Rights judgments - we show applicability agent-based research. We discuss its implications for two levels analysis: (1) understanding drivers behavior, which contributes research unitary actors at center, and (2) within dynamics their influence during process, breaks black box state. models addressing questions arise on these take variety shapes. provide one line thought set-up an model each analysis expected difficulties. Finally, outlook how aspects might come together exploring rates bettered.

Language: Английский

Integrating Behavioral Theories in Agent-Based Models for Agricultural Drought Risk Assessments DOI Creative Commons
Teun Schrieks, W. J. Wouter Botzen, Marthe Wens

et al.

Frontiers in Water, Journal Year: 2021, Volume and Issue: 3

Published: Sept. 3, 2021

Improving assessments of droughts risk for smallholder farmers requires a better understanding the interaction between individual adaptation decisions and drought risk. Agent-based modeling is increasingly used to capture decision-making environment. In this paper, we provide review agent-based models with focus on behavioral rules. This leads conclusion that human decision rules in existing are often based ad hoc assumptions without solid theoretical empirical foundation. Subsequently, economic psychological theories clear overview can improve foundation farmer behavior parameterization, calibration, validation methods those theories. Based these reviews, conceptual framework give guidance integration models. We conclude an agenda guide future research field.

Language: Английский

Citations

75
Towards reusable building blocks for agent-based modelling and theory development DOI Creative Commons
Uta Berger, Andrew Reid Bell, C. Michael Barton

et al.

Environmental Modelling & Software, Journal Year: 2024, Volume and Issue: 175, P. 106003 - 106003

Published: March 3, 2024

Despite the increasing use of standards for documenting and testing agent-based models (ABMs) sharing open access code, most ABMs are still developed from scratch. This is not only inefficient, but also leads to ad hoc often inconsistent implementations same theories in computational code delays progress exploration functioning complex social-ecological systems (SES). We argue that reusable building blocks (RBBs) known professional software development can mitigate these issues. An RBB a submodel represents particular mechanism or process relevant across many an application domain, such as plant competition vegetation models, reinforcement learning behavioural model. RBBs need be distinguished modules, which represent entire subsystems include more than one process. While linking modules faces challenges integrating different general, "atomic" enough easily re-used contexts. describe provide examples domains how why used development, benefits doing so ABM community individual modellers. propose template guide publication example this template. Most importantly, we initiate strategy community-based RBBs. Individual modellers have much greater impact their field with single paper, while will benefit increased coherence, facilitating theory both behaviour agents they form. invite peers upload share via our website - preferably referenced by DOI (digital object identifier obtained e.g. Zenodo). After critical mass candidate has accumulated, feedback discussion take place scope envisioned platform improved.

Language: Английский

Citations

10
Simulating fishery dynamics by combining empirical data and behavioral theory DOI Creative Commons
Jonas Letschert, Birgit Müller, Gunnar Dreßler

et al.

Ecological Modelling, Journal Year: 2025, Volume and Issue: 501, P. 111036 - 111036

Published: Jan. 31, 2025

Language: Английский

Citations

1
A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States DOI Creative Commons
Artūras Kaklauskas, Ajith Abraham, Ieva Ubartė

et al.

Sensors, Journal Year: 2022, Volume and Issue: 22(20), P. 7824 - 7824

Published: Oct. 14, 2022

Affective, emotional, and physiological states (AFFECT) detection recognition by capturing human signals is a fast-growing area, which has been applied across numerous domains. The research aim to review publications on how techniques that use brain biometric sensors can be used for AFFECT recognition, consolidate the findings, provide rationale current methods, compare effectiveness of existing quantify likely they are address issues/challenges in field. In efforts achieve key goals Society 5.0, Industry human-centered design better, affective, progressively becoming an important matter offers tremendous growth knowledge progress these other related fields. this research, sensors, applications was performed, based Plutchik’s wheel emotions. Due immense variety sensing systems, study aimed analysis available define AFFECT, classify them type area their efficiency real implementations. Based statistical multiple criteria 169 nations, our outcomes introduce connection between nation’s success, its number Web Science articles published, frequency citation recognition. principal conclusions present contributes big picture field under explore forthcoming trends.

Language: Английский

Citations

31
Earth Systems to Anthropocene Systems: An Evolutionary, System-of-Systems, Convergence Paradigm for Interdependent Societal Challenges DOI
John C. Little, Roope Oskari Kaaronen, Janne Hukkinen

et al.

Environmental Science & Technology, Journal Year: 2023, Volume and Issue: 57(14), P. 5504 - 5520

Published: March 31, 2023

Humans have made profound changes to the Earth. The resulting societal challenges of Anthropocene (e.g., climate change and impacts, renewable energy, adaptive infrastructure, disasters, pandemics, food insecurity, biodiversity loss) are complex systemic, with causes, interactions, consequences that cascade across a globally connected system systems. In this Critical Review, we turn our "origin story" for insight, briefly tracing formation Universe Earth, emergence life, evolution multicellular organisms, mammals, primates, humans, as well more recent transitions involving agriculture, urbanization, industrialization, computerization. Focusing on genetic evolution, brain, cultural which includes technological identify nested evolutionary sequence geophysical, biophysical, sociocultural, sociotechnical systems, emphasizing causal mechanisms first formed, then transformed, Earth systems into Describing how coevolved, illustrating ensuing became tightly integrated multiple spatial, temporal, organizational scales, conclude by proposing an evolutionary, system-of-systems, convergence paradigm entire family interdependent Anthropocene.

Language: Английский

Citations

17
Improving the representation of smallholder farmers’ adaptive behaviour in agent-based models: Learning-by-doing and social learning DOI Creative Commons
Cristina I. Apetrei, Nikita Strelkovskii, Nikolay Khabarov

et al.

Ecological Modelling, Journal Year: 2024, Volume and Issue: 489, P. 110609 - 110609

Published: Jan. 22, 2024

Computational models have been used to investigate farmers' decision outcomes, yet classical economics assumptions prevail, while learning processes and adaptive behaviour are overlooked. This paper advances the conceptualisation, modelling understanding of learning-by-doing social learning, two key in (co-)management literature. We expand a pre-existing agent-based model (ABM) an agricultural social-ecological system, RAGE (Dressler et al., 2018). endow human agents with capabilities, we study impact their strategies on economic, ecological outcomes. Methodologically, contribute under-explored area behaviour. Results show that who employ better match decisions conditions than those do not. Imitating type successful further improves Different suited different goals. report under which becomes dominant population mixed approaches.

Language: Английский

Citations

7
Integrated assessment across building and urban scales: A review and proposal for a more holistic, multi-scale, system-of-systems approach DOI
Chenyang Bi, John C. Little

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 82, P. 103915 - 103915

Published: April 26, 2022

Language: Английский

Citations

23
How to conduct more systematic reviews of agent-based models and foster theory development - Taking stock and looking ahead DOI Creative Commons
Sebastian Achter, Melania Borit, Clémentine Cottineau

et al.

Environmental Modelling & Software, Journal Year: 2023, Volume and Issue: 173, P. 105867 - 105867

Published: Nov. 15, 2023

Agent-based models (ABMs) are increasingly utilized in ecology and related fields, yet concerns persist regarding the lack of consideration for lessons learned from previous models. This study explores potential systematically conducted ABM reviews to contribute cumulative science theory development by synthesizing individual findings more effectively. We conducting a meta-review assess current practices, compare them systematic literature review (SLR) recommendations, evaluate their engagement with development. Our analysis social sample reveals that many not transparency. The step SLRs holds significant advance Reviews primarily focus on model design, while other avenues receive less attention. suggest ways improve practices may guide future via benchmarks methodological decisions dimensions advancing

Language: Английский

Citations

13
Social-ecological system research in a changing world: State of the art and future challenges DOI
Yixu Wang, Jie Gong, Zhihui Yang

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144725 - 144725

Published: Jan. 1, 2025

Language: Английский

Citations

0
The Pareto effect in tipping social networks: from minority to majority DOI Creative Commons
Jordan Everall, Fabian Tschofenig, Jonathan F. Donges

et al.

Earth System Dynamics, Journal Year: 2025, Volume and Issue: 16(1), P. 189 - 214

Published: Jan. 28, 2025

Abstract. How do social networks tip? A popular theory is that a small minority can trigger population-wide change. This aligns with the Pareto principle, semi-quantitative law which suggests that, in many systems, 80 % of effects arise from 20 causes. In context transition to net-zero emissions, this vital be critical instigator tipping, process rapidly change norms. work, we asked whether effect observed systems by conducting literature review, placing focus on norm diffusion and complex contagion via networks. By analysing simulation empirical results tipping events across disciplines large parametric space, identified consistent patterns studies key factors help or hinder tipping. We show evidence supporting point near 25 total population within our compiled dataset. Near mass, observe high likelihood for event, where majority quickly adopts new Our findings illustrate slight variations between modelling results, average points at 24 27 %, respectively. Additionally, range masses possible; these values lie 10 43 %. These indicate potential, but not inevitability, rapid certain susceptible populations contexts. Finally, provide practical guidance facilitating difficult changes (1) leveraging trusted community structures building mass clustered (particularly %–43 threshold range), (2) adapting strategies based type context, (3) targeting groups moderate preferences network positions – avoiding reliance highly central well-connected individuals enable endogenous spread.

Language: Английский

Citations

0