2005
DOI: 10.1088/1742-5468/2005/11/p11005
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Dynamics of random replicators with Hebbian interactions

Abstract: Abstract. A system of replicators with Hebbian random couplings is studied using dynamical methods. The self-reproducing species are here characterized by a set of binary traits and interact based on complementarity. In the case of an extensive number of traits we use path-integral techniques to demonstrate how the coupled dynamics of the system can be formulated in terms of an effective single-species process in the thermodynamic limit, and how persistent order parameters characterizing the stationary states … Show more

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Cited by 13 publications
(46 citation statements)
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“…we consider only u = w = 0. We furthermore follow the philosophy of introducing dilution in the context of neural networks [29] and in random replicator models [12], and assume that only a fraction c ∈ (0, 1] of interaction links between species is present. If an interaction between species i and j is present, then we take it to be determined by their respective use of resources, following [9].…”
Section: Effects Of Dilutionmentioning
confidence: 99%
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“…we consider only u = w = 0. We furthermore follow the philosophy of introducing dilution in the context of neural networks [29] and in random replicator models [12], and assume that only a fraction c ∈ (0, 1] of interaction links between species is present. If an interaction between species i and j is present, then we take it to be determined by their respective use of resources, following [9].…”
Section: Effects Of Dilutionmentioning
confidence: 99%
“…. , N. We also note that we use Q The analysis of the dilute model is straightforward and can be performed along the lines of [29,30,12]. The effective process reads: (30) and with all other definitions as in the fully connected model.…”
Section: Effects Of Dilutionmentioning
confidence: 99%
“…Firstly, the study of the present model extends the statistical mechanics analysis of existing replicator models [5]-[7], [11,12] and relates to studies of Minority Games [1, 2]. Complex phase behaviour and different patterns of ergodicity breaking and instabilities have been identified in such models, with similarities as well as differences between replicator-type models and other systems.…”
mentioning
confidence: 64%
“…to model parameters for which the assumed fixed point is independent of initial conditions. The following self-consistent equations of the persistent order parameters {Q, χ, ν} can then be derived along the lines of [6,11,12]:…”
Section: Effective Macroscopic Theory and Fixed Point Ansatzmentioning
confidence: 99%
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