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Introduction
I am a computational social scientist / engineer / systems researcher who studies the evolution of organizational and economic systems. I am interested in the link between micro-level rules, structural interdependence and macro-level outcomes in a variety of settings (e.g., organizational dynamics, industry evolution, competitive spatial location). I am also interested in the use of computational models to enhance policy design (policy modeling).
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Education
March 2003 - March 2008
January 1998 - June 2000
January 1992 - June 1995
Publications
Publications (44)
This handbook is currently in development, with individual articles publishing online in advance of print publication. At this time, we cannot add information about unpublished articles in this handbook, however the table of contents will continue to grow as additional articles pass through the review process and are added to the site. Please note...
Researchers have become increasingly interested in the potential use of agent-based modelling for the prediction of social phenomena, motivated by the desire, first, to further cement the method’s scientific status and, second, to participate in other scenarios, particularly in the aid of decision-making. This article contributes to the current dis...
As a society, we are aiming to achieve the Sustainable Development Goals (SDGs) by 2030, and one of the most important challenges is fostering responsible production and consumption. Green marketing campaigns and instruction in university curricula are an opportunity to influence producers' and consumers' decision-making process in a positive way....
Change is ubiquitous in the study of organizations. Organizational change is characterized by multiple perspectives, both conceptually and methodologically. Computational modeling efforts are not the exception. In this work, we aim to provide an analysis of computational modeling approaches to organizational change. For that, we first review publis...
Economics and engineering are discovering new opportunities for cross-fertilization. This is partly given to the advent of modern artificial intelligence methods. These opportunities have appeared in the past, resulting in marginal improvements toward integration. As explained by Mariotti (Journal of Industrial and Business Economics, 2021), over t...
Social scientists have long studied the evolution of market structures and have tried to explore the internal mechanisms of industrial dynamics. Market evolution has attracted the attention of researchers from fields such as industrial organization, economic sociology, and management. The tradition in industrial organization has focused on empirica...
Traditionally, firm competition has been studied in contexts where the dimensionality of the product attribute space is given, and firms deploy their strategies constrained by this space. However, firms may exert influence on the local structure of the product attribute space by offering product variants with new attributes. As a result, the geomet...
Research works in collective problem-solving usually assume fixed communication structures and explore
effects thereof. In contrast, in real settings, individuals may modify their set of connections in the search
of information and feasible solutions. This paper illustrates how groups collectively search for solutions
in a space under the presence...
The strategy of integration known as vendor-managed inventory (VMI), which allows the coordination of inventory policies between producers and buyers in supply chains, has long been considered a strategy for inventory cost reduction. Although the literature acknowledges the importance of understanding the dynamics of VMI implementation through evol...
Financial data is abundant, diverse and it is generated in big volumes at any time across the world. Finding fast and reliable ways of analyzing it is key for market actors (regulators, market makers, brokers and investors). On this work, we intend to use Graph Theory as a vehicle to analyze relationships among owners of publicly traded companies i...
This paper presents a multi-agent simulation that studies market competition in a multi-stage negotiation with both direct sales and intermediation, in the presence of cost heterogeneity at the agent (i.e., producer) level. Producers sell their products according to an adaptive reinforcement strategy. Product is sold to clients (small shops and con...
Increasingly diversity researchers call for further studies of group micro-processes and dynamics to understand the paradoxical effects of diversity on group performance. In this study, based on analyses of in-group, networked, homophilous interactions, we aim to explain further the effects of diversity on group performance in a parallel problem-so...
Financial data is abundant, diverse and it is generated in big volumes at any time across the world. Finding fast and reliable ways of analyzing it is key for market actors (regulators, market makers, brokers and investors). On this work, we intend to use Graph Theory as a vehicle to analyze relationships among owners of publicly traded companies i...
This paper provides a micro-foundation for dual market structure formation through partitioning processes in marketplaces by developing a computational model of interacting economic agents. We propose an agent-based modeling approach, where firms are adaptive and profit-seeking agents entering into and exiting from the market according to their (la...
Supporting information file.
In the S1 File we present further details about the computer simulation model, including parameter values.
(PDF)
Paper available at http://www.fao.org/fileadmin/templates/ags/docs/MUFN/CALL_FILES_EXPERT_2015/CFP3-23_Full_paper.pdf
This paper examines the use of qualitative information in the construction of an agent- based model in order to study the growth of near-Zero Energy Buildings (nZEB's) in the Netherlands through the innovation systems perspective. Drawing on desktop research and semi-structured interviews, this paper offers two major findings. First, we observed th...
MARKET DIMENSIONALITY AND THE PROLIFERATION OF SMALL-SCALE FIRMS
Advances in Complex Systems (ACS). 01/2008; 11(02):231-247.
The strategy of integration known as VMI (Vendor-Managed Inventory) allows the coordination of inventory policies between producers and buyers in supply chains. Based on a new proposed model for the implementation of VMI in a chain of two links composed of a producer and a buyer, this paper studies the evolution of individual strategies of the prod...
We built a computational model of political party competition in order to gain insight into the effect of the decrease in the number of relevant political issues (dimensions), and the change of their relative importance, on the number of surviving political parties, their strategy performance, and the degree of political party fragmentation. Partic...
We develop an agent-based computational model in which the urban informal sector acts as a buffer where rural migrants can earn some income while queuing for higher paying modern-sector jobs. In the model, the informal sector emerges as a result of rural–urban migration decisions of heterogeneous agents subject to social influence in the form of ne...
Evolutionary explanations of market structures have usually focused on
the selection pressures impacted by a number of factors such as scale economies,
niche width, firm size and consumer heterogeneity. How selection processes work
in markets is highly dependent on the available firm type variation at entry. In order
to explore the implications of...
Review of the book "Knowledge Diffusion and Innovation" (Edward Elgar Publishing: Cheltenham, 2010).
We build an agent-based computational model to study how the changing number of active product variants in a two-dimensional product space affects the performance of different firm types (i.e. large-scale and small-scale enterprises). We use an alternative approach to measure product space dimensionality, considering that dimensions may be a fracti...
Congestion effects are the negative externalities or social costs that users generate on each other when using a shared network resource. Under a congestion-based pricing scheme, networks with enough slack capacity should reflect a very low priced negative externality, while a network with reduced capacity to provide one more unit of the requested...
We build an agent-based computational model to study how the changing number of active product variants in a two-dimensional product space affects the performance of different firm types (i.e. large-scale and small-scale enterprises). We use an alternative approach to measure product space dimensionality, considering that dimensions may be a fracti...
Congestion effects are the negative externalities or social costs that users generate on each other when using a shared network resource. Under a congestion-based pricing scheme, networks with enough slack capacity should reflect a very low priced negative externality, while a network with reduced capacity to provide one more unit of the requested...
This paper demonstrates the application of two efficient cost allocation mechanisms on a simple FIFO network model in order to find congestion-based prices for network access services. It is shown that it is possible to obtain congestion-dependent prices in data networks (such as the Internet), establishing simultaneously different service quality...
Un intermediario forma paquetes de productos (bundles) ejerciendo un tipo de discriminación sobre los consumidores. El tipo de discriminación que consideramos está basada en la calidad de los productos que forman el paquete. Para el efecto proponemos dos modelos de selección adversa: un modelo considera que la decisión de agregación depende de las...
Common problems in telecommunications networks are usually related to optimal network design and to establishing reasonable cost allocation criteria. Such cost allocation methods do not have to do only with infrastructure costs but also with the effects that a set of users cause on other users' quality of service by using shared network resources....
We build an agent-based computational model to study how the changing number of active product variants in a two-dimensional product space affects the performance of
different firm types (i.e. large-scale and small-scale enterprises). We use an alternative
approach to measure product space dimensionality, considering that dimensions may
be a fracti...