@proceedings {Bruneo2016,
	title = {KAOS: A Kinetic Theory Tool for Modeling Complex Social Systems},
	journal = {3rd International Conference on Industrial Engineering and Applications, ICIEA 2016},
	volume = {68},
	year = {2016},
	note = {cited By 0; Conference of 2016 3rd International Conference on Industrial Engineering and Applications, ICIEA 2016 ; Conference Date: 28 April 2016 Through 30 April 2016; Conference Code:123080},
	publisher = {EDP Sciences},
	address = {Hong Kong, 28-30 April 2016},
	abstract = {<p>The kinetic theory approach is successfully used to model complex phenomena related to social systems, allowing to predict the dynamics and emergent behavior of large populations of agents. In particular, kinetic theory for active particles (KTAP) models are usually analyzed by numerically solving the underlying Boltzmann-type differential equations through ad-hoc implementations. In this paper, we present KAOS: a kinetic theory of active particles modeling and analysis software tool. To the best of our knowledge, KAOS represents the first attempt to design and implement a comprehensive tool that assists the user in all the steps of the modeling process in the framework of the kinetic theories, from the model definition to the representation of transient solutions. To show the KAOS features, we present a new model capturing the competition/cooperation dynamics of a socio-economic system with welfare dynamics, in different socio-political conditions. {\textcopyright} 2016 The Authors, published by EDP Sciences.</p>
},
	issn = {2261236X},
	doi = {10.1051/matecconf/20166816004},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84982168597\&doi=10.1051\%2fmatecconf\%2f20166816004\&partnerID=40\&md5=87f3509a3d879faddfe7cc858a349db5},
	author = {Dario Bruneo and Marina Dolfin and Francesco Longo and Marco Scarpa and Antonio Puliafito}
}
