In the field of evolutionary robotics, investigators evolve populations of autonomous machines to exhibit some desired behavior. The neurology, morphology, or both may be placed under evolutionary control, and different behaviors can be selected for. Results from this approach can generate unique and surprising hypotheses about why certain behaviors evolve, regardless of whether they emerge in ...

This article discusses the application and implications of magnetic prospection within two complex early mediaeval sites 5th–10th centuries BCE in northern Spain, at Aistra Peña Amaya Upper Ebro Valley. In this period most displaying domestic other forms occupation present multifaceted challenging problems due to poor preservation stratigraphic relationships rural contexts rarity visibility hor...

Recent developments in geophysical data analysis suggest that in addition to a multi-method approach, “data fusion” techniques can offer meaningful insights into archaeological features, as well as allow for researchers to establish patterns between multivariate data sets that might otherwise go unnoticed. Extensive and intensive geophysical prospection has been employed at the site of Portus i...

The ability to ponder the future is a hallmark of human imagination. Neuroimaging research so far has focused on episodic prospection, or thinking about hypothetical future personal events. What has received no attention is semantic prospection or contemplating hypothetical future world events. Using functional magnetic resonance imaging (fMRI), we show a number of functional dissociations in t...

Pre Prospection data mining model for hydrocarbon development guides to the need of developing a model for prospection activity for which the data of surface indicators collected through remote sensing and microbial sources can be used. This chapter proposes a new approach to mine context based positive and negative spatial association rules. Researchers are using Apriori algorithm on spatial d...