Next Article in Journal
Enhanced Negative Nonlocal Conductance in an Interacting Quantum Dot Connected to Two Ferromagnetic Leads and One Superconducting Lead
Previous Article in Journal
Permutation Entropy-Based Analysis of Temperature Complexity Spatial-Temporal Variation and Its Driving Factors in China
Open AccessArticle

Fitness Gain of Individually Sensed Information by Cells

Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(10), 1002; https://doi.org/10.3390/e21101002
Received: 26 August 2019 / Revised: 27 September 2019 / Accepted: 10 October 2019 / Published: 13 October 2019
(This article belongs to the Special Issue Information Flow and Entropy Production in Biomolecular Networks)
Mutual information and its causal variant, directed information, have been widely used to quantitatively characterize the performance of biological sensing and information transduction. However, once coupled with selection in response to decision-making, the sensing signal could have more or less evolutionary value than its mutual or directed information. In this work, we show that an individually sensed signal always has a better fitness value, on average, than its mutual or directed information. The fitness gain, which satisfies fluctuation relations (FRs), is attributed to the selection of organisms in a population that obtain a better sensing signal by chance. A new quantity, similar to the coarse-grained entropy production in information thermodynamics, is introduced to quantify the total fitness gain from individual sensing, which also satisfies FRs. Using this quantity, the optimizing fitness gain of individual sensing is shown to be related to fidelity allocations for individual environmental histories. Our results are supplemented by numerical verifications of FRs, and a discussion on how this problem is linked to information encoding and decoding. View Full-Text
Keywords: fluctuation theorem; evolution; decision-making; directed information; information thermodynamics; auto-encoder fluctuation theorem; evolution; decision-making; directed information; information thermodynamics; auto-encoder
Show Figures

Figure 1

MDPI and ACS Style

Kobayashi, T.J.; Sughiyama, Y. Fitness Gain of Individually Sensed Information by Cells. Entropy 2019, 21, 1002.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop