Human searching strategies in a heterogeneous environment: Difference between revisions
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Animals move to explore their environment, to search for food and to find mates, constantly making decisions about when and where to go. The success of these routine activities depends on the searching strategies that organisms adopt. In the absence of any knowledge of the environment, an important question is: What statistical strategy will be the most efficient to find food? Or more specifically: Which is the distribution from where the organism should choose the duration of its forward movements? It has been suggested that a particular class of random walks, known as Lévy walks, offers optimal stochastic search strategies when faced with environmental uncertainty. | Animals move to explore their environment, to search for food and to find mates, constantly making decisions about when and where to go. The success of these routine activities depends on the searching strategies that organisms adopt. In the absence of any knowledge of the environment, an important question is: What statistical strategy will be the most efficient to find food? Or more specifically: Which is the distribution from where the organism should choose the duration of its forward movements? It has been suggested that a particular class of random walks, known as Lévy walks, offers optimal stochastic search strategies when faced with environmental uncertainty. | ||
An important question now is | An important question now is: | ||
What will be the effect of landscape structure and quality uncertainty of known targets in the decision making process and in the statistical strategy that organisms adopt to find what they are looking for? | |||
To answer this question I would like to do a field experiment with humans in the soccer field. | To answer this question I would like to do a field experiment with humans in the soccer field. | ||
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Volunteers needed! | Volunteers needed! | ||
[[Liliana Salvador]] | |||
Revision as of 19:04, 29 June 2009
Animals move to explore their environment, to search for food and to find mates, constantly making decisions about when and where to go. The success of these routine activities depends on the searching strategies that organisms adopt. In the absence of any knowledge of the environment, an important question is: What statistical strategy will be the most efficient to find food? Or more specifically: Which is the distribution from where the organism should choose the duration of its forward movements? It has been suggested that a particular class of random walks, known as Lévy walks, offers optimal stochastic search strategies when faced with environmental uncertainty.
An important question now is: What will be the effect of landscape structure and quality uncertainty of known targets in the decision making process and in the statistical strategy that organisms adopt to find what they are looking for?
To answer this question I would like to do a field experiment with humans in the soccer field.
Experiment in the soccer field
Description will be available soon!
Volunteers needed!