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. | ||
Some interesting questions to ask now are: | |||
What will be the effect of landscape structure and quality uncertainty of known targets in the individual decision making process and in the statistical strategy that organisms adopt to find what they are looking for? What will be the effect of adding competitors for the same targets? | |||
To answer | To answer these questions I would like to do a field experiment with humans in the soccer field with different distributions of targets. | ||
= Experiment in the soccer field = | === Experiment in the soccer field === | ||
Description will be available soon! | Description will be available soon! | ||
Participants and volunteers for the project are needed! | |||
[[Liliana Salvador]] | |||
Latest revision as of 21:24, 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.
Some interesting questions to ask now are: What will be the effect of landscape structure and quality uncertainty of known targets in the individual decision making process and in the statistical strategy that organisms adopt to find what they are looking for? What will be the effect of adding competitors for the same targets?
To answer these questions I would like to do a field experiment with humans in the soccer field with different distributions of targets.
Experiment in the soccer field
Description will be available soon!
Participants and volunteers for the project are needed!