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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A Bird’s-Eye View of Nature’s Hidden Order | Quanta Magazine

A Bird’s-Eye View of Nature’s Hidden Order |  Quanta Magazine | Complex Insight  - Understanding our world | Scoop.it
Scientists are exploring a mysterious pattern, found in birds’ eyes, boxes of marbles and other surprising places, that is neither regular nor random.
Phillip Trotter's insight:
If you want to understand why AI is beginning to make major breakthroughts - it helps to understand the physics underpinning our world. This article gives a good overview of one such physical property - hyperuniform that is neither regular or random but a distribution that reflects the constrained reality that biological systems evolve within. Very much worth reading.
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Advances in Artificial Life, ECAL 2013 Proceedings

Advances in Artificial Life, ECAL 2013 Proceedings | Complex Insight  - Understanding our world | Scoop.it

ECAL 2013, the twelfth European Conference on Artificial Life, presents the current state of the art of a mature and autonomous discipline collocated at the intersection of a theoretical perspective (the scientific explanations of different levels of life organizations, e.g., molecules, compartments, cells, tissues, organs, organisms, societies, collective and social phenomena) and advanced technological applications (bio-inspired algorithms and techniques to building-up concrete solutions such as in robotics, data analysis, search engines, gaming).

 

Advances in Artificial Life, ECAL 2013

Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems

Edited by Pietro Liò, Orazio Miglino, Giuseppe Nicosia, Stefano Nolfi and Mario Pavone

http://mitpress.mit.edu/books/advances-artificial-life-ecal-2013


Via Complexity Digest
Phillip Trotter's insight:

I have a big soft spot for artificial life research - partly because i was a young researcher  shortly after Chris Langton coined the term and a lot of my early hacking was around games of life, vants and cellular automata but also because over the years I have found many of the techniques discussed in ALIFE circles applicable to other fields such as machine learning, control architectures, and emergent simulation etc so this is definitely one for the reading list.

luiy's curator insight, September 9, 2013 4:35 PM
About the Editors

 

Pietro Liò is Reader in Computational Biology at the University of Cambridge and a member of the Artificial Intelligence group of the University's Computer Laboratory. He researches on Predictive models in Personalized medicine and Multiscale modelling of molecules-cell-tissue-organ interactions.

 

 

Orazio Miglino is a full Professor of Psychology at University of Naples Federico II where he leads the Natural and Artificial Cognition Lab. He is also an associate researcher at the Institute of Cognitive Sciences and Technologies of Italian National Research Council (ISTC-CNR) in Rome.

 

 

Giuseppe Nicosia is an Associate Professor in Computational Systems and Synthetic Biology in the Dept. of Mathematics and Computer Science of the University of Catania, Italy. His research activities focus on the design of biological systems, neuroinformatics, system design, design automation, optimization, solar cells, circuit and semiconductor design.

 

 

Stefano Nolfi is Research Director at the Italian National Research Council (CNR), director of the Laboratory of Autonomous Robots and Artificial Life of the Institute of Cognitive Sciences and Technologies. His research activities focus on the evolution and development of behavioural and cognitive skills in natural and artificial embodied agents (robots).

 

 

Mario Pavone is an Assistant Professor in computer science at the Department of Mathematics and Computer Science of the University of Catania. He is co-founder of TaoScience Research center, and he is also a member of the EURO association (The Association of European Operational Research Societies)

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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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