Search Results for author: Carlos Gershenson

Found 19 papers, 2 papers with code

The Origin and Evolution of Information Handling

no code implementations5 Apr 2024 Amahury Jafet López-Díaz, Hiroki Sayama, Carlos Gershenson

A major challenge when describing the origin of life is to explain "how instructional information control systems emerge naturally and spontaneously from mere molecular dynamics".

Quaternion Convolutional Neural Networks: Current Advances and Future Directions

no code implementations17 Jul 2023 Gerardo Altamirano-Gomez, Carlos Gershenson

Despite encouraging results, theoretical analysis shows that representations such as hyper-complex numbers can achieve richer representational capacities than real numbers, and that Hamilton products can capture intrinsic interchannel relationships.

Statistical analysis of word flow among five Indo-European languages

no code implementations17 Jan 2023 Josué Ely Molina, Jorge Flores, Carlos Gershenson, Carlos Pineda

We study what we define as ``migrant words'', a type of loanwords that do not change their spelling.

Language statistics at different spatial, temporal, and grammatical scales

no code implementations2 Jul 2022 Fernanda Sánchez-Puig, Rogelio Lozano-Aranda, Dante Pérez-Méndez, Ewan Colman, Alfredo J. Morales-Guzmán, Carlos Pineda, Pedro Juan Rivera Torres, Carlos Gershenson

In this work, we use data from Twitter to explore English and Spanish considering the rank diversity at different scales: temporal (from 3 to 96 hour intervals), spatial (from 3km to 3000+km radii), and grammatical (from monograms to pentagrams).

Temporal Heterogeneity Improves Speed and Convergence in Genetic Algorithms

no code implementations2 Feb 2022 Yoshio Martinez, Katya Rodriguez, Carlos Gershenson

These algorithms simulate natural selection to explore a parameter space in search of solutions for a broad variety of problems.

Intelligence as information processing: brains, swarms, and computers

no code implementations9 Aug 2021 Carlos Gershenson

There is no agreed definition of intelligence, so it is problematic to simply ask whether brains, swarms, computers, or other systems are intelligent or not.

Artificial Life

Artificial life: sustainable self-replicating systems

no code implementations27 May 2021 Carlos Gershenson, Jitka Cejkova

Nature has found one method of organizing living matter, but maybe other options exist -- not yet discovered -- on how to create life.

Artificial Life

Emergence in artificial life

no code implementations30 Apr 2021 Carlos Gershenson

But how useful is this to understand living systems?

Artificial Life

Stocks and Cryptocurrencies: Anti-fragile or Robust?

no code implementations26 May 2020 Darío Alatorre, Carlos Gershenson, José L. Mateos

In this work we use our antifragility measure to analyze real data from return prices in the stock and cryptocurrency markets.

Self-Organization and Artificial Life

no code implementations14 Mar 2019 Carlos Gershenson, Vito Trianni, Justin Werfel, Hiroki Sayama

Placed at the frontiers between disciplines, Artificial Life (ALife) has heavily borrowed concepts and tools from the study of self-organization, providing mechanistic interpretations of life-like phenomena as well as useful constructivist approaches to artificial system design.

Artificial Life

Self-Organization and Artificial Life: A Review

no code implementations3 Apr 2018 Carlos Gershenson, Vito Trianni, Justin Werfel, Hiroki Sayama

Self-organization has been an important concept within a number of disciplines, which Artificial Life (ALife) also has heavily utilized since its inception.

Artificial Life

When slower is faster

no code implementations22 Jun 2015 Carlos Gershenson, Dirk Helbing

The slower is faster (SIF) effect occurs when a system performs worse as its components try to do better.

Rank diversity of languages: Generic behavior in computational linguistics

no code implementations14 May 2015 Germinal Cocho, Jorge Flores, Carlos Gershenson, Carlos Pineda, Sergio Sánchez

We calculate this diversity for books published in six European languages since 1800, and find that it follows a universal lognormal distribution.

Complexity measurement of natural and artificial languages

no code implementations20 Nov 2013 Gerardo Febres, Klaus Jaffe, Carlos Gershenson

We compared entropy for texts written in natural languages (English, Spanish) and artificial languages (computer software) based on a simple expression for the entropy as a function of message length and specific word diversity.

The Dynamically Extended Mind -- A Minimal Modeling Case Study

no code implementations8 May 2013 Tom Froese, Carlos Gershenson, David A. Rosenblueth

A prominent critique of this claim holds that when some part of the world is coupled to a cognitive system this does not necessarily entail that the part is also constitutive of that cognitive system.

Measuring the Complexity of Ultra-Large-Scale Adaptive Systems

no code implementations27 Jul 2012 Michele Amoretti, Carlos Gershenson

Here we propose the design and analysis of ULS systems using measures of complexity, emergence, self-organization, and homeostasis based on information theory.

Self-organizing traffic lights: A realistic simulation

1 code implementation18 Oct 2006 Seung-Bae Cools, Carlos Gershenson, Bart D'Hooghe

We have previously shown in an abstract simulation (Gershenson, 2005) that self-organizing traffic lights can improve greatly traffic flow for any density.

Artificial Neural Networks for Beginners

2 code implementations20 Aug 2003 Carlos Gershenson

The scope of this teaching package is to make a brief induction to Artificial Neural Networks (ANNs) for people who have no previous knowledge of them.

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