Social psychologists have used the replacement method to simulate cultural evolution in the laboratory, studying what happens when a group of people performing a task are gradually replaced by new members. We provide a formal analysis of the dynamics of cultural evolution by replacement under the assumption that the people involved are Bayesian agents. We use a connection to a statistical infer...

Clustering is a widespread data analysis and data mining technique in many fields of study such as engineering, medicine, biology and the like. The aim of clustering is to collect data points. In this paper, a Cultural Algorithm (CA) is presented to optimize partition with N objects into K clusters. The CA is one of the effective methods for searching into the problem space in order to find a n...

In this paper, we propose the use of a cultural algorithm combined with evolutionary programming to exploit knowledge extracted during the search. Such exploitation of knowledge allows the evolutionary programming implementation to produce very good results at a relatively low computational cost.

Our previous work on real-valued function optimization problems had shown that cultural learning emerged as the result of meta-level interaction or swarming of knowledge sources, “knowledge swarms” in the belief space. These meta-level swarms induced the swarming of individuals in the population space, “Cultural Swarms”. The interaction of these knowledge sources produced emergent phases of pro...

Cultural algorithms (CAs) are one of the metaheuristics which can be adapted in order to work in multiobjective optimization environments. On the other hand, portfolio selection problem (PSP) is a wellknow problem in literature. However, only a few articles have applied evolutionary multi-objective (EMO) algorithms to these problems and articles presenting CAs applied to the PSP have not been f...

We test for universal patterns in cultural evolution by Guttman scaling on two different worldwide samples of archaeological traditions and on well-known archaeological sequences. The evidence is generally consistent with universal evolutionary sequences. We also present evidence for some punctuated evolutionary events. [

Cultural Algorithms (CA) are a class of computational models derived from observing the cultural evolution process in nature. The Cultural Algorithm is a dual inheritance system that characterizes evolution in human culture at both the macro-evolutionary level, which takes place within the belief space, and at the micro-evolutionary level, which occurs at the population space. Cultural algorith...