WHY AGENTS? ON THE VARIED MOTIVATIONS FOR AGENT COMPUTING IN THE SOCIAL SCIENCES
By Robert L. Axtell. 2000
572 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/91184e381946be43df73df593077f4e2ee1e789e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Adam Okulicz-Kozaryn
- Stanislao Gualdi
- Linda M. See
- Francesco Zamponi
- A. Heppenstall
- M. Tarzia
- Andrew T. Crooks
- Jean-Philippe Bouchaud
Citations in the corpus
- Everything you need to know about agent-based modelling and simulation (2016, background): “Axtell (2000) argues that ABMS provides unique kinds of information that are not available from any other modelling approach.”
- Tutorial on Agent-Based Modeling and Simulation PART 2: How to Model with Agents (2006, background): “Furthermore, not all systems come to an equilibrium (Axtell 2000).”
- Tutorial on agent-based modeling and simulation (2005, background): “Furthermore, not all systems come to an equilibrium (Axtell 2000).”
- The city size distribution debate: Resolution for US urban regions and megalopolitan areas (2012, background): “007 In the first group, Axtell and Florida (2001) have produced Zipfian steady states via agent-based modeling.(10) Numerical solutions yield empirically-accurate firm characteristics: a right-skewed distribution of firm sizes, a double-exponential distribution of growth rates and variance in growth”
- Agent-based Models of Geographical Systems (2012, background): “Axtell, R. L., Epstein, J. M., Dean, J. S., Gumerman, G. J., Swedlund, A. C., Harburger, J., et al. (2002). Population growth and collapse in a multiagent model of the Kayenta Anasazi in Long House Valley. Proceedings of the National Academy of Sciences, 99 (Suppl 3), 7275. Bak, P. (1996). How natur”
- Agent-based modeling and simulation (2009, unknown): “Axtell (2000) discusses several reasons for agent-based modeling especially compared to traditional approaches to modeling economic systems.”
- A new tool for epidemiology: the usefulness of dynamic-agent models in understanding place effects on health. (2008, methodology): “Robustness testing in agent-based models involves running the model multiple times, systematically varying initial conditions or parameters in order to assess the stability of results (60).”
- Social Behaviors, Enforcement, and Tax Compliance Dynamics (2003, unknown): “Agent-based models have both advantages and disadvantages (see Axtell [2000] for a more detailed discussion).”
- Tipping Points in Macroeconomic Agent-Based Models (2013, background): “[5] for early papers on ABM for economics, see e.”