Luis R Izquierdo | Universidad de Burgos (original) (raw)

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Papers by Luis R Izquierdo

La economía artificial es uno de los métodos o enfoques de investigación para el estudio de siste... more La economía artificial es uno de los métodos o enfoques de investigación para el estudio de sistemas socioeconómicos complejos con mayor crecimiento durante los últimos años. Este artículo presenta una visión crítica sobre sus características, su potencial y los riesgos relativos al uso de esta metodología. Para ello, encontramos útil relacionar y comparar a la economía artificial con la economía teórica más tradicional. Desde nuestro análisis, la economía teórica y la economía artificial comparten los mismos objetivos, presentan menos diferencias metodológicas de las que a primera vista pudiera parecer, y sus aproximaciones son sin duda complementarias.

Advances in Complex Systems, Apr 1, 2008

Journal of Artificial Societies and Social Simulation, The

The paper concerns the socio-spatial dynamics of imitation within a computational model of land u... more The paper concerns the socio-spatial dynamics of imitation within a computational model of land use selection and change. Specifically , it reports investigations of the success of imitation in relation to alternative ways of choosing a course of action, in the context of different degrees and kinds of spatio-temporal heterogeneity. Simulation experiments with the model are the main method employed, but analytical work is also reported.

Journal of Artificial Societies and Social Simulation, The

In this paper social dilemmas are modelled as n-player games. Orthodox game theorists have been a... more In this paper social dilemmas are modelled as n-player games. Orthodox game theorists have been able to provide several concepts that narrow the set of expected outcomes in these models. However, in their search for a reduced set of solutions, they had to pay a very high price: they had to make disturbing assumptions such as instrumental rationality or common knowledge of rationality, which are rarely observed in any real-world situation. We propose a complementary approach, assuming that people adapt their behaviour according to their experience and look for outcomes that have proved to be satisfactory in the past. These ideas are investigated by conducting several experiments with an agent-based simulation model in which agents use a simple form of case-based reasoning. It is shown that cooperation can emerge from the interaction of selfish case-based reasoners. In determining how often cooperation occurs, aspiration thresholds, the agents' representation of the world, and the...

Journal of Artificial Societies and Social Simulation, The

This paper will explore the effects of errors in floating point arithmetic in two published agent... more This paper will explore the effects of errors in floating point arithmetic in two published agent-based models: the first a model of land use change (Polhill et al. 2001; Gotts et al. 2003), the second a model of the stock market (LeBaron et al. 1999). The first example demonstrates how branching statements with floating point operands of comparison operators create a high degree of nonlinearity, leading in this case to the creation of 'ghost' agents -- visible to some parts of the program but not to others. A potential solution to this problem is proposed. The second example shows how mathematical descriptions of models in the literature are insufficient to enable exact replication of work since mathematically equivalent implementations in terms of real number arithmetic are not equivalent in terms of floating point arithmetic.

Research from the Beagle Channel (Tierra del Fuego) offers a rich ethnographic and historical rec... more Research from the Beagle Channel (Tierra del Fuego) offers a rich ethnographic and historical record produced by the late inclusion of Tierra del Fuego in the industrial world (the Beagle Channel was discovered by R. Fitz-Roy in 1830). This is an interesting frame for using new techniques (social simulation by Agent Based Modelling (ABM)) to generate new hypotheses in archaeology. In this case, the hypothesis is focused on the role of social cooperation in Yámana hunter-fisher-gatherer society.