on the type of search rule [@Benichou2011] and the amount of directional information available determines the existence of bias towards preferred regions [@patlak1953random; @codling2008random]. Finally, differences may also be attributable to the movement pattern, such as cruising versus ambush [@o1990search] and to the frequency of the reorientation events, such as intensive (frequent) versus extensive (infrequent) [@JonsenEtAl2005.Robust.modeling; @McClintockEtAl2012.Movement.framework]. The effectiveness of a particular choice within each category is determined by the properties and the state of the searcher, the target, and the environment where the task has to be accomplished. For instance, searchers with memory that navigate relatively predictable environments do not employ purely random strategies but combine a stochastic component with knowledge acquired through previous experience. There is therefore a learning process that plays an important role in the emergence of new rules [@merkle2014memory; @fagan2013spatial]. In other scenarios, individuals who live in groups may incorporate information gathered by conspecifics with their own in order to improve foraging efficiency. It has been recently showed that intermediate combinations between both types of cues result in more efficient searches regardless of the nature of the mobility pattern [@Martinez-Garcia2014a] and the spatial distribution of the targets [@bhattacharya2014collective; @Martinez-Garcia2013b]. However, the precise optimal balance between 