Bioinspired algorithms are a generic term used to refer to the solution of computational problems, based on the planning and implementation based on existing models in the evolutionary process-related nature. Most evolutionary algorithms proposed paradigms that occur in the biology of living things and concepts of natural selection, mutation and reproduction. However, other paradigms that can b...

The goal of the present work is to apply the computational properties of cultural technology, such as data mining and, to propose the solution of a real problem about society modeling: the Eurovision Song Contest. We analyze the voting behavior and ratings of judges using data mining techniques. The dataset makes it possible to analyze the determinants of success, and gives a rare opportunity t...

A culture-aware AI system can be defined as an AI system where culture-related information is modeled and used to design its human-machine interface or intervenes in the task carried out by this system, reasoning, simulation or any other task involving cultural knowledge. Such systems can be classified in the following way: (1) Culture-aware intelligent tutoring systems as cultures have a stron...

According to theories of cultural neuroscience, Westerners and Easterners may have distinct styles of cognition (e.g., different allocation of attention). Previous research has shown that Westerners and Easterners tend to utilize analytical and holistic cognitive styles, respectively. On the other hand, little is known regarding the cultural differences in neuroeconomic behavior. For instance, ...

Within organisational learning literature, mental models are considered a vehicle for both individual and organizational learning. By (and making them explicit), basis formation of shared the level organization is created, which after its can then be adopted by individuals. This provides mechanisms These have been used as an adaptive computational network model. The model illustrated not too co...

The paper presents a problem resolved from social Modeling associated with the adequate selection of clothes and their distribution in a Dresser using a range of 87 clothes with different features associated with a fashion collection to represent the symbolic capital of it. A case of study is presented regarding to the selection of 47 different possible combinations using data obtained from the...

Cumulative cultural evolution in humans is the process through which behaviours gain structure and complexity as they are transmitted from one generation of learners to the next. A central challenge in the cultural evolution literature is to understand how the unique computational principles of human cognition scaffold the emergence of complex behavioural systems. I explore how the human abilit...

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...