DocumentCode
2307252
Title
Think globally, sense locally: From local information to global features
Author
Harder, Malte ; Polani, Daniel ; Nehaniv, Chrystopher L.
Author_Institution
Adaptive Syst. Res. Group, Univ. of Hertfordshire, Hatfield, UK
fYear
2011
fDate
11-15 April 2011
Firstpage
70
Lastpage
77
Abstract
Shannon´s information theory can be used to quantify morphological and topological features of a collective of agents in an arbitrary environment. In particular the ability of individual agents to extract information locally about global features of the collective can be quantified. Here, we considered chains of agents in a grid world. The agents are equipped with local sensors. We then quantified the amount of information the sensors contain about certain features global to the chain. Furthermore, we compared the amount of locally available information to the amount of information the whole collective could in principle acquire about a feature in different contexts.
Keywords
information theory; mathematical morphology; sensors; Shannon information theory; global feature; information extraction; morphological feature; sensor; topological feature; Entropy; Information theory; Random variables; Sensor phenomena and characterization; Shape; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Life (ALIFE), 2011 IEEE Symposium on
Conference_Location
Paris
ISSN
2160-6374
Print_ISBN
978-1-61284-062-8
Type
conf
DOI
10.1109/ALIFE.2011.5954661
Filename
5954661
Link To Document