scholarly journals Emergence and complexity in agent-based modeling: Review of state-of-the-art research

2021 ◽  
Author(s):  
Şehnaz CENANİ
Keyword(s):  
State Of The Art ◽  
Agent Based Modeling ◽  
Agent Based ◽  
Art Research

scholarly journals Möglichkeiten und Grenzen der Analyse von Holzmärkten

2012 ◽  
Vol 163 (10) ◽  
pp. 396-400 ◽  
Author(s):  
Roland Olschewski ◽  
Oliver Thees
Keyword(s):  
State Of The Art ◽  
Agent Based Modeling ◽  
Behavioural Economics ◽  
Future Market ◽  
Individual Behaviour ◽  
Agent Based ◽  
Market Participants ◽  
Real Market ◽  
The Individual ◽  
Forest Economic

Chances and limits of the analysis of wood markets Recent approaches of behavioural economics and agent-based modeling can enhance knowledge about market processes and results and widen the focus for the assessment of future market developments by emphasising the individual behaviour of market participants and scenario techniques. In this article we resume possible contributions of the particular approaches to better describe, explain and forecast real market developments. The exposition is based on state-of-the-art knowledge and reflects insights gained during the 8th Forest Economic Seminar in autumn 2011, where researchers and practitioners presented their findings.

scholarly journals Methods for Weighting Decisions to Assist Modelers and Decision Analysists: A Review of Ratio Assignment and Approximate Techniques

2021 ◽  
Vol 11 (21) ◽  
pp. 10397
Author(s):  
Barry Ezell ◽  
Christopher J. Lynch ◽  
Patrick T. Hester
Keyword(s):  
Decision Making ◽  
Discrete Event Simulation ◽  
Computational Models ◽  
State Of The Art ◽  
Discrete Event ◽  
Agent Based Modeling ◽  
Decision Makers ◽  
Agent Based ◽  
Event Simulation ◽  
Decision Making Processes

Computational models and simulations often involve representations of decision-making processes. Numerous methods exist for representing decision-making at varied resolution levels based on the objectives of the simulation and the desired level of fidelity for validation. Decision making relies on the type of decision and the criteria that is appropriate for making the decision; therefore, decision makers can reach unique decisions that meet their own needs given the same information. Accounting for personalized weighting scales can help to reflect a more realistic state for a modeled system. To this end, this article reviews and summarizes eight multi-criteria decision analysis (MCDA) techniques that serve as options for reaching unique decisions based on personally and individually ranked criteria. These techniques are organized into a taxonomy of ratio assignment and approximate techniques, and the strengths and limitations of each are explored. We compare these techniques potential uses across the Agent-Based Modeling (ABM), System Dynamics (SD), and Discrete Event Simulation (DES) modeling paradigms to inform current researchers, students, and practitioners on the state-of-the-art and to enable new researchers to utilize methods for modeling multi-criteria decisions.

scholarly journals Advances in the agent-based modeling of economic and social behavior

2021 ◽  
Vol 1 (7) ◽  
Author(s):  
Mitja Steinbacher ◽  
Matthias Raddant ◽  
Fariba Karimi ◽  
Eva Camacho Cuena ◽  
Simone Alfarano ◽  
...  
Keyword(s):  
Social Behavior ◽  
Laboratory Experiments ◽  
State Of The Art ◽  
Social Systems ◽  
Agent Based Modeling ◽  
Data Sources ◽  
Future Research ◽  
Economic Networks ◽  
Agent Based ◽  
Agent Behavior

AbstractIn this review we discuss advances in the agent-based modeling of economic and social systems. We show the state of the art of the heuristic design of agents and how behavioral economics and laboratory experiments have improved the modeling of agent behavior. We further discuss how economic networks and social systems can be modeled and we discuss novel methodology and data sources. Lastly, we present an overview of estimation techniques to calibrate and validate agent-based models and show avenues for future research.

scholarly journals State of the Art in Agent-Based Modeling of Urban Crime: An Overview

2018 ◽  
Vol 35 (1) ◽  
pp. 155-193 ◽  
Author(s):  
Elizabeth R. Groff ◽  
Shane D. Johnson ◽  
Amy Thornton
Keyword(s):  
State Of The Art ◽  
Urban Crime ◽  
Agent Based Modeling ◽  
Agent Based

scholarly journals The Contribution of Social Simulation in the Advancement of Marketing Issues and Challenges

2013 ◽  
Vol 5 (1) ◽  
pp. 19-31
Author(s):  
Mario Gonzalez-Fuentes
Keyword(s):  
State Of The Art ◽  
Holistic Approach ◽  
Agent Based Modeling ◽  
Marketing Strategies ◽  
Social Simulation ◽  
Future Research ◽  
Agent Based ◽  
Research Opportunities ◽  
Computer Scientists ◽  
The One

For some years now, marketers have been praising for a more holistic approach of a company’s marketing efforts across all areas. However, traditional models show serious limitations to address the complexities of managing all of a company’s touch points with a customer. Agent-based modeling (ABM) has opened the door to explore the unfolding behaviors and outputs of an increasingly connected and interactive marketplace. The contribution of this paper is twofold. On the one hand, it provides researchers with a state-of-the-art repository for this strand of research. This facilitates the identification of relevant gaps in the literature and future research avenues. Second, it contributes to assess the way ABM has improved our understanding of the dynamics of markets and its participants when marketing strategies are implemented. Both goals aim at showing the various ways that social simulation has expanded our understanding of marketing and the future research opportunities for both, marketing and computer scientists.

Agent-Based Modeling of Small-Scale Societies: State of the Art and Future Prospects

2000 ◽  
Author(s):  
Henry T. Wright
Keyword(s):  
North America ◽  
Cultural Change ◽  
Adaptive Systems ◽  
State Of The Art ◽  
Cultural Anthropology ◽  
Human Action ◽  
Agent Based Modeling ◽  
Psychological Anthropology ◽  
Santa Fe ◽  
Agent Based

The thematic social sciences—economics, political science, psychology, and so on—often privilege that aspect of human action on which they focus. Can we fruitfully understand change in human affairs from the perspectives of these disciplines? Philosophers have (for millennia), and anthropologists and geographers (for little more than a century) have said "no," and have attempted to view human phenomena as a totality. Anthropology, a holistic discipline, at its best integrates human biology, cultural anthropology or ethnology, psychological anthropology, linguistics, and archaeology. But the task is daunting, and has led often to elegant, but very specific case studies. However, new theoretical approaches to nonlinear and adaptive systems and to modeling such approaches give hope that rigorous general formulations are possible. The Culture Group of the Santa Fe Institute focuses on long-term stability and transformation in cultural developments. In December 1997, with the support of the Wenner-Gren Foundation for Anthropological Research, a diversity of researchers gathered in Santa Fe to assess the progress of this working group and to chart future directions. We had many fruitful exchanges, ranging from general theoretical problems of cultural change and its explanation to the specifics of modeling actual cultural processes. The touchstones of the discussions were breakthroughs in the modeling of small-community networks in southwestern North America, but new developments in other theoretical and empirical areas also proved important in pointing toward future efforts. This volume presents the much discussed and revised papers from the Santa Fe meeting. The conference began, as does this volume, with overviews of the state of the art of modeling. George Gumerman, in his preface, touches on the roots of modeling whole social and cultural systems in North America, threads of inquiry which are picked up in many chapters of this volume. Tim Kohler, in his elegant introduction argues the advantages of agent-based modeling as the resolution of several outstanding problems in traditional social science. Nigel Gilbert then provides rich insight into recent work in Europe, little known to many North American social scientists outside the modeling community.

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