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    Conformism, distinction and heterogeneity in an agent-based model of fads

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    We examine the dependence of the cyclical fluctuations of demand on specific behavioral attitudes of heterogeneous agents. Starting from a modified version of the model of Tassier (Complexity 9(5):51-61, 2004), we use simulations to explore consumption dynamics and market shares when agents are inclined both to conformism and distinction, two necessary conditions for fashion in Simmel (Am j Sociol 62(6): 541–558, 1957). Our results challenge the view stating that conspicuous consumption is typical only of a wealthy class and of some positional goods, since we make no assumptions about features of the goods or income distribution

    Interaction in agent-based economics: A survey on the network approach

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    In this paper we aim to introduce the reader to some basic concepts and instruments used in a wide range of economic networks models. In particular, we adopt the theory of random networks as the main tool to describe the relationship between the organization of interaction among individuals within different components of the economy and overall aggregate behavior. The focus is on the ways in which economic agents interact and the possible consequences of their interaction on the system. We show that network models are able to introduce complex phenomena in economic systems by allowing for the endogenous evolution of networks

    Major trends in agent-based economics

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    The study of the economy by means of Agent-Based (AB) models is a relatively new field. It dates back to the early 90’s, when the increasing availability of cheap computing power has made possible to undertake the first computationally demanding experiments required tomodel the interactions of a large number of boundedly rational and heterogeneous agents (for a review, see Tesfatsion and Judd 2006), in an economy characterized by non-equilibrium dynamics and information asymmetries

    Le imprese dell’ICT in Toscana: profili competitivi e modelli innovativi

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    The impact and consequences of “ICT revolution” on global economies are actually under reconsideration due to the present crisis of the so-called “new economy”. But global crises show their consequences also at a local level. In Tuscany, after some years of “optimism”, in which ICT was thought to be one of the possible drivers of future growth, a careful analysis needs now to be undertaken in order to assess the real solidity of ICT-related activities, in particular with regard to innovative capability. The empirical evidence presented in this paper is based on the results of a survey realised in 2001. Thanks to a cluster analysis performed on a sample of 263 firms, the main typologies of ICT firms in Tuscany are identified. These are classified on the basis of a wide set of variables -size, R&D intensity, main markets, sources of innovation, human capital-, in order to assess their potential for technological innovation. Through this analysis four main typologies are identified, among which “innovative” firms (i. e. those delivering products or services which are close to the “technological frontier”) represent a small minority. Instead ICT firms in Tuscany are specialized in less advanced activities, like customer-relationship services on behalf of large national firms, standard hardware assembling, software development or customisation for local SMEs. It seems thus unlikely that these firms will be one of the main driver for future regional growth, unless effective policies are developed at a regional and local level
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