Agent-based modeling: Methods and techniques for simulating human systems

By Eric Bonabeau. Proceedings of the National Academy of Sciences of the United States of America, 2002

4,783 citations recorded by the source corpus.

Subfields: Automotive Engineering, Ocean Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/236be94b54e930786a9ef21a8f0957853537d65f

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Citations in the corpus

A Survey of Statistical Network Models (2009, neutral): “, see [46].”
Agent-based modeling and simulation (2009, positive): “Some modelers consider any type of independent component whether it be software or a model to be an agent (Bonabeau 2001).”
Impact of China's Large-Scale Ecological Restoration Program on the Environment and Society in Arid and Semiarid Areas of China: Achievements, Problems, Synthesis, and Applications (2011, background): “Individual behavior exhibits memory path-dependence, and hysteresis, and non-Markovian behavior or temporal correlations, including learning and adaptation ( Bonabeau, 2002 ).”
Systems Science Methods in Public Health (2012, positive): “More generally, ABM has been particularly useful for modeling emergent phenomena such as contagion flows, markets, organizational behavior, and diffusion (20), all of which are relevant in public health research.”
Adolescent risk-taking in the context of exploration and social influence (2021, background): “These agents possess a simple set of rules according to which they act, but viewing their behaviour simultaneously and over time will unravel complex properties, beyond the simple decision rules of one individual at one point in time (Bonabeau, 2002).”
An agent‐based model of farmer decision‐making and water quality impacts at the watershed scale under markets for carbon allowances and a second‐generation biofuel crop (2011, background): “The latter can be thought of as a ‘‘top-down’’ approach, while ABM is a ‘‘bottom-up’’ approach where each agent is a discrete autonomous entity with distinct goals and actions within a particular social context [Bonabeau, 2002].”
Special Thematic Section on "Societal Change" A Complex Systems Approach to the Study of Ideology: Cognitive-Affective Structures and the Dynamics of Belief Systems (2013, methodology): “Map elements are depicted by shapes: • ovals represent emotionally positive elements; • hexagons represent emotionally negative elements; • rectangles represent elements that are emotionally neutral; • a superimposed oval and hexagon indicates ambivalence; a single element that can generate…”
Social-ecological systems as complex adaptive systems: modeling and policy implications (2012, background): “Agent-based models or individual-based models allow each individual to have unique behaviors that may change in response to others’ actions, and the possibly slow evolution of macroscopic variables (Bonabeau, 2002; Couzin et al., 2005; Grimm and Railsback, 2005).”
Modeling The Diffusion Of Residential Photovoltaic Systems In Italy: An Agent-based Simulation (2013, background): “6 interact within their environment and among each other according to determined rules (Bonabeau, 2002).”
Social LSTM: Human Trajectory Prediction in Crowded Spaces (2016, methodology): “They also use an agent-based model similar to [6].”
THE BEST AND THE REST: REVISITING THE NORM OF NORMALITY OF INDIVIDUAL PERFORMANCE (2012, positive): “ABM can be used to develop and test theories of superstars in the more fundamental context of autonomous agents independently and in conjunction with others, making decisions based on very simple rules (Bonabeau, 2002).”
Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects (2022, background): “These properties are also those that are characterised by agent based systems and make such technologies ideal for representation of STDTs despite computational cost [184], [185].”
Integrating Personality Structure, Personality Process, and Personality Development (2017, background): “Here, again, traffic jams offer helpful analogies because they emerge from the transacting behaviors of many drivers and road conditions (Bonabeau, 2002), and they can act as causes of outcomes themselves, such as being late for work, both to individuals and to larger”
Complex adaptive systems modeling with Repast Simphony (2013, methodology): “These external programs are activated by wizards that go through the following sequence: (1) ask users which data sets should be selected for analysis, (2) export the data to a format that is readable by the external tool, (3) note the licensing terms of the external program, (4) start the external ”