We develop a three-step fuzzy logic-based algorithm for clustering categorical attributes, and we apply it to analyze cultural data. In the first step the algorithm employs an entropy-based clustering scheme, which initializes the cluster centers. In the second step we apply the fuzzy c-modes algorithm to obtain a fuzzy partition of the data set, and the third step introduces a novel cluster va...

Many psychologists and philosophers have suggested that religious ideas emerge because they are motivationally attractive. This paper attempts to support a version of the motivational thesis by relying on religious creeds as a source of historical evidence. This simple source of evidence indicates that the cultural evolution of religious ideas is partly a function of the motivational attractive...

Research in cultural evolution has focused on the spread of intuitive or minimally counterintuitive beliefs. However, some very counterintuitive beliefs can also spread successfully, at least in some communities-scientific theories being the most prominent example. We suggest that argumentation could be an important factor in the spread of some very counterintuitive beliefs. A first experiment ...

Article history: Received 17 September 2009 Received in revised form 22 April 2010 Accepted 8 June 2010

In the tide of economic and social internationalization high-speed urbanization, urban culture has increasingly attracted widespread attention from all walks life a very critical strategic significance in construction space. This paper aims to construct analyze plane space mode based on particle swarm cultural scientific computing algorithm. article first explains concept Urban uses spatial str...