Information socialtaxis and efficient collective behavior emerging in groups of information-seeking agents.

ABSTRACT: Individual behavior, in biology, economics, and computer science, is often described in terms of balancing exploration and exploitation. Foraging has been a canonical setting for studying reward seeking and information gathering, from bacteria to humans, mostly focusing on individual behavior. Inspired by the gradient-climbing nature of chemotaxis, the infotaxis algorithm showed that locally maximizing the expected information gain leads to efficient and ethological individual foraging. In nature, as well as in theoretical settings, conspecifics can be a valuable source of information about the environment. Whereas the nature and role of interactions between animals have been studied extensively, the design principles of information processing in such groups are mostly unknown. We present

SUBMITTER: Karpas ED 

PROVIDER: S-EPMC5465909 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature