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InfoInt SIGNED

An Information Theory of Simple Interaction

Total Cost €

0

EC-Contrib. €

0

Partnership

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 InfoInt project word cloud

Explore the words cloud of the InfoInt project. It provides you a very rough idea of what is the project "InfoInt" about.

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Project "InfoInt" data sheet

The following table provides information about the project.

Coordinator
TEL AVIV UNIVERSITY 

Organization address
address: RAMAT AVIV
city: TEL AVIV
postcode: 69978
website: http://www.tau.ac.il/

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
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 Coordinator Country Israel [IL]
 Project website http://www.eng.tau.ac.il/
 Total cost 1˙323˙875 €
 EC max contribution 1˙323˙875 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-STG
 Funding Scheme ERC-STG
 Starting year 2015
 Duration (year-month-day) from 2015-03-01   to  2021-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TEL AVIV UNIVERSITY IL (TEL AVIV) coordinator 1˙323˙875.00

Map

 Project objective

Motivated by our recent progress in feedback information theory and its deep relations to stochastic dynamical systems, and inspired by natural phenomena such as bio-molecular interactions and human conversation, this research will explore the fundamental limits of information transfer via simple interaction. In the standard information theoretic framework, the problem of reliable communications is typically studied in an asymptotic unidirectional regime, where optimal performance is attained via complex codes employed over increasingly long time epochs. Here, we will investigate a markedly different paradigm where communicating parties are restricted to use simple finite-state rules to act and react on the fly. We will consider a broad spectrum of models ranging from feedback communications and two-way channels to multiuser setups and large homogeneous networks, and study measures of information transfer and dissipation, their relations to dynamical system contraction factors, and the fundamental tradeoffs between complexity and performance. While prominently theoretic, our investigation is expected to admit important practical applications and a cross-disciplinary impact. In communications, and especially in resource-limited systems such as wireless sensor networks where battery-life is a bottleneck, a breakthrough in the understanding of optimal interaction can lead to a paradigm shift in system design, yielding simpler, cheaper, more robust solutions. In Finance, where market behavior is a cumulative effect of local actions taken by individuals based on limited noisy observations, quantifying interaction and its relation to information propagation can enhance our ability to forecast and explain macro level phenomena. Finally, an information theoretic characterization of interaction in large networks can shed light on the underlying mechanisms governing various biological systems that are empirically amenable to cellular automata modeling.

 Publications

year authors and title journal last update
List of publications.
2018 Benny Applebaum, Thomas Holenstein, Manoj Mishra, Ofer Shayevitz
The Communication Complexity of Private Simultaneous Messages, Revisited
published pages: 261-286, ISSN: , DOI: 10.1007/978-3-319-78375-8_9
2019-09-02
2017 Nir Weinberger, Ofer Shayevitz
On the Optimal Boolean Function for Prediction Under Quadratic Loss
published pages: 4202-4217, ISSN: 0018-9448, DOI: 10.1109/TIT.2017.2686437
IEEE Transactions on Information Theory 63/7 2019-09-02
2017 Sihuang Hu, Ofer Shayevitz
The $rho $ -Capacity of a Graph
published pages: 2241-2253, ISSN: 0018-9448, DOI: 10.1109/TIT.2017.2669196
IEEE Transactions on Information Theory 63/4 2019-09-02
2017 Assaf Ben-Yishai, Ofer Shayevitz
Interactive Schemes for the AWGN Channel with Noisy Feedback
published pages: 2409-2427, ISSN: 0018-9448, DOI: 10.1109/TIT.2017.2648821
IEEE Transactions on Information Theory 63/4 2019-09-02
2017 Lele Wang, Sihuang Hu, Ofer Shayevitz
Quickest Sequence Phase Detection
published pages: 1-1, ISSN: 0018-9448, DOI: 10.1109/TIT.2017.2705159
IEEE Transactions on Information Theory 2019-09-02
2017 Lele Wang, Ofer Shayevitz
Graph Information Ratio
published pages: 2703-2734, ISSN: 0895-4801, DOI: 10.1137/16M1110066
SIAM Journal on Discrete Mathematics 31/4 2019-09-02
2015 Or Ordentlich, Ofer Shayevitz
Minimum MS. E. Gerber’s Lemma
published pages: 5883-5891, ISSN: 0018-9448, DOI: 10.1109/TIT.2015.2479641
IEEE Transactions on Information Theory 61/11 2019-09-02
2016 Yanjun Han, Or Ordentlich, Ofer Shayevitz
Mutual Information Bounds via Adjacency Events
published pages: 6068-6080, ISSN: 0018-9448, DOI: 10.1109/TIT.2016.2609390
IEEE Transactions on Information Theory 62/11 2019-09-02
2018 Yonatan Kaspi, Ofer Shayevitz, Tara Javidi
Searching With Measurement Dependent Noise
published pages: 2690-2705, ISSN: 0018-9448, DOI: 10.1109/TIT.2017.2775614
IEEE Transactions on Information Theory 64/4 2019-09-02

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