Computer Science – Information Theory
Scientific paper
2009-12-23
Entropy 2009, 11(4), 836-853
Computer Science
Information Theory
Scientific paper
In this review we integrate results of long term experimental study on ant "language" and intelligence which were fully based on fundamental ideas of Information Theory, such as the Shannon entropy, the Kolmogorov complexity, and the Shannon's equation connecting the length of a message ($l$) and its frequency $(p)$, i.e. $l = - \log p$ for rational communication systems. This approach, new for studying biological communication systems, enabled us to obtain the following important results on ants' communication and intelligence: i) to reveal "distant homing" in ants, that is, their ability to transfer information about remote events; ii) to estimate the rate of information transmission; iii) to reveal that ants are able to grasp regularities and to use them for "compression" of information; iv) to reveal that ants are able to transfer to each other the information about the number of objects; v) to discover that ants can add and subtract small numbers. The obtained results show that Information Theory is not only wonderful mathematical theory, but many its results may be considered as Nature laws.
Reznikova Zhanna
Ryabko Boris
No associations
LandOfFree
The use of ideas of Information Theory for studying "language" and intelligence in ants does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with The use of ideas of Information Theory for studying "language" and intelligence in ants, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The use of ideas of Information Theory for studying "language" and intelligence in ants will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-363466