**Content is still incomplete and not final.**

An

Some of the most important ABMs developed at Sant'Anna in the past years are available here.

The Keynes + Schumpeter computer-simulation model (K+S) was designed to allow the study of several relevant properties of the macroeconomic system. K+S is a general disequilibrium, stock-and-flow consistent agent-based theoretical model, populated by heterogeneous firms, who behave according to bounded-rational rules.

The model was first introduced in:

- Dosi, G., G. Fagiolo, and A. Roventini (2010). Schumpeter meeting Keynes: A policy-friendly model of endogenous growth and business cycles.

The finance-augmented Keynes + Schumpeter computer-simulation model (K+S) was designed to allow the study of several relevant properties of the macroeconomic system, with an emphasis on the financial side of the economy. K+S is a general disequilibrium, stock-and-flow consistent agent-based theoretical model, populated by heterogeneous firms and banks, which behave according to bounded-rational rules.

The model was first introduced in:

- Dosi, G., G. Fagiolo, A. Roventini, and T Treibich (2015). Fiscal and monetary policies in complex evolving economies.

The energy-augmented Keynes + Schumpeter computer-simulation model (K+S) was designed to allow the study of several relevant properties of the macroeconomic and energy systems, and their impacts on climate change. K+S is a general disequilibrium, stock-and-flow consistent agent-based theoretical model, populated by heterogeneous firms, banks, and energy producers, which behave according to bounded-rational rules.

The model was first introduced in:

- .

The Labor-augmented Keynes + Schumpeter computer-simulation model (K+S) was designed to allow the study of several relevant properties of the macroeconomic system. K+S is a general disequilibrium, stock-and-flow consistent agent-based theoretical model, populated by heterogeneous firms and workers, who behave according to bounded-rational rules.

The model was first introduced in:

- Dosi, G., M. C. Pereira, A. Roventini, and M. E. Virgillito (2017). When more Flexibility Yields more Fragility: the Microfoundations of Keynesian Aggregate Unemployment.

The Multi-industry Keynes + Schumpeter computer-simulation model (K+S) was designed to allow the study of several relevant properties of the macroeconomic system. K+S is a general disequilibrium, stock-and-flow consistent agent-based theoretical model, populated by heterogeneous industries, firms, and workers, which behave according to bounded-rational rules.

The model was first introduced in:

- Dosi, G., M. C. Pereira, A. Roventini, and M. E. Virgillito (2021). Technological paradigms, labour creation and destruction in a multi-sector agent-based model.

The Dystopian Schumpeter Meeting Keynes computer-simulation model (DSK) was designed to allow the study of several relevant properties of the macroeconomic system, and its impacts on climate change. DSK Refresh is a general disequilibrium, stock-and-flow consistent agent-based theoretical model, populated by heterogeneous firms and banks, which behave according to bounded-rational rules.

The model was first introduced in:

- Lamperti, F., G. Dosi, G. Fagiolo, M. Napoletano, A. Roventini, and A. Sapio (2018). Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model.

This is a very parsimonious evolutionary model whereby the dynamics is driven by learning by incumbent and entrant firms (or at least by entrants alone) together with competitive selection.

The model was first introduced in:

- Dosi, G., Pereira, M. C., Virgillito, M. E. (2017). The footprint of evolutionary processes of learning and selection upon the statistical properties of industrial dynamics.

This is a model of endogenous growth in which firms are modeled as boundedly-rational, locally interacting, agents.

The model was first introduced in:

- Fagiolo, G., Dosi, G., (2003). Exploitation, exploration and innovation in a model of endogenous growth with locally interacting agents.

Copyright © 2021 Scuola Superiore Sant’Anna

**Disclaimer**: The information and views set out in this software are those of the author(s) and do not necessarily reflect the official opinion of the Scuola Superiore Sant’Anna. Sant’Anna does not guarantee the accuracy of the data included in this study. Neither Sant’Anna nor any person acting on Sant’Anna’s behalf may be held responsible for the use which may be made of the information contained therein.

**Copyright Notice**: The Models here are property of the respective authors. The Models are protected by copyright laws, trademark and design rights. Any unauthorized use of the Models will be considered a violation of the authors’ intellectual property rights. The Models may not be copied, distributed, published or used in any way, in whole or in part, without prior written agreement from the authors, except as otherwise allowed by the agreed Conditions of Use.

**No Warranties**: this site, the associated models and their results are provided “as is” without any express or implied warranty of any kind including warranties of non-infringement of intellectual property or fitness for any particular purpose. In no event shall the authors or its suppliers and partners be liable for any damages whatsoever (including, without limitation, damages for loss of profits or loss of information) arising out of the use of or inability to use the information provided on this site, even if the authors or its suppliers and partners have been advised of the possibility of such damages. Because some jurisdictions prohibit the exclusion or limitation of liability for incidental or consequential damages, some of the above limitations may not apply to you.