Complex Insight - Understanding our world
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Complex Insight  - Understanding our world
A few things the Symbol Research team are reading.  Complex Insight is curated by Phillip Trotter (www.linkedin.com/in/phillip-trotter) from Symbol Research
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Rescooped by Phillip Trotter from Complex Insight - Understanding our world
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Information Dynamics in the Interaction between a Prey and a Predator Fish

Accessing information efficiently is vital for animals to make the optimal decisions, and it is particularly important when they are facing predators. Yet until now, very few quantitative conclusions have been drawn about the information dynamics in the interaction between animals due to the lack of appropriate theoretic measures. Here, we employ transfer entropy (TE), a new information-theoretic and model-free measure, to explore the information dynamics in the interaction between a predator and a prey fish. We conduct experiments in which a predator and a prey fish are confined in separate parts of an arena, but can communicate with each other visually and tactilely. TE is calculated on the pair’s coarse-grained state of the trajectories. We find that the prey’s TE is generally significantly bigger than the predator’s during trials, which indicates that the dominant information is transmitted from predator to prey. We then demonstrate that the direction of information flow is irrelevant to the parameters used in the coarse-grained procedures. We further calculate the prey’s TE at different distances between it and the predator. The resulted figure shows that there is a high plateau in the mid-range of the distance and that drops quickly at both the near and the far ends. This result reflects that there is a sensitive space zone where the prey is highly vigilant of the predator’s position.

 

Information Dynamics in the Interaction between a Prey and a Predator Fish
Feng Hu, Li-Juan Nie and Shi-Jian Fu

Entropy 2015, 17(10), 7230-7241; http://dx.doi.org/10.3390/e17107230 ;


Via Complexity Digest, Phillip Trotter
Phillip Trotter's insight:

Interesting use of entropy for information transfer in predator-prey interactions.  Good paper - worth reading and a lot worth thinking  further about.

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Rescooped by Phillip Trotter from CxBooks
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Artificial Life 14

Artificial Life 14 | Complex Insight  - Understanding our world | Scoop.it

ALIFE 14, the Fourteenth International Conference on the Synthesis and Simulation of Living Systems, presents the current state of the art of Artificial Life—the highly interdisciplinary research area on artificially constructed living systems, including mathematical, computational, robotic, and biochemical ones. The understanding and application of such generalized forms of life, or “life as it could be,” have been producing significant contributions to various fields of science and engineering.
This volume contains papers that were accepted through rigorous peer reviews for presentations at the ALIFE 14 conference. The topics covered in this volume include: Evolutionary Dynamics; Artificial Evolutionary Ecosystems; Robot and Agent Behavior; Soft Robotics and Morphologies; Collective Robotics; Collective Behaviors; Social Dynamics and Evolution; Boolean Networks, Neural Networks and Machine Learning; Artificial Chemistries, Cellular Automata and Self-Organizing Systems; In-Vitro and In-Vivo Systems; Evolutionary Art, Philosophy and Entertainment; and Methodologies.

 

Artificial Life 14

Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems

Edited by Hiroki Sayama, John Rieffel, Sebastian Risi, René Doursat and Hod Lipson

http://mitpress.mit.edu/books/artificial-life-14


Via Complexity Digest
Phillip Trotter's insight:

I remember reading the first one of these and my imagination being captured by Chris Langton's introduction. Look forward to reading this one.

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