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In this paper, we study a probabilistic reinforcement-learning model for ants searching for the shortest path(s) between their nest and a source of food. In this model, the nest and the source of food are two distinguished nodes $N$ and $F$…

Probability · Mathematics 2023-10-03 Daniel Kious , Cécile Mailler , Bruno Schapira

It is well-known in biology that ants are able to find shortest paths between their nest and the food by successive random explorations, without any mean of communication other than the pheromones they leave behind them. This striking…

Probability · Mathematics 2020-10-13 Daniel Kious , Cécile Mailler , Bruno Schapira

Ants are known to be able to find paths of minimal length between the nest and food sources. The deposit of pheromones while they search for food and their chemotactical response to them has been proposed as a crucial element in the…

Populations and Evolution · Quantitative Biology 2011-03-09 M. Vela-Pérez , M. A. Fontelos , J. J. L. Velázquez

Colonies of ants are systems of interacting living organisms in which interactions between individuals and their environment can produce a reliable performance of a complex tasks without the need for centralised control. Particularly…

Biological Physics · Physics 2015-08-28 Miriam Malíčková , Christian Yates , Katarína Boďová

A model of an Ant System where ants are controlled by a spiking neural circuit and a second order pheromone mechanism in a foraging task is presented. A neural circuit is trained for individual ants and subsequently the ants are exposed to…

Neural and Evolutionary Computing · Computer Science 2015-09-21 Cristian Jimenez-Romero , David Sousa-Rodrigues , Jeffrey H. Johnson , Vitorino Ramos

Colonies of the arboreal turtle ant create networks of trails that link nests and food sources on the graph formed by branches and vines in the canopy of the tropical forest. Ants put down a volatile pheromone on edges as they traverse…

Data Structures and Algorithms · Computer Science 2023-07-04 Shivam Garg , Kirankumar Shiragur , Deborah M. Gordon , Moses Charikar

Navigation through narrow passages during colony relocation by the tandem-running ants, $\textit{Diacamma}$ $\textit{indicum}$, is a tour de force of biological traffic coordination. Even on one-lane paths, the ants tactfully manage a…

Adaptation and Self-Organizing Systems · Physics 2025-09-23 Joy Das Bairagya , Udipta Chakraborti , Sumana Annagiri , Sagar Chakraborty

Ant raiding, the process of identifying and returning food to the nest or bivouac, is a fascinating example of collective motion in nature. During such raids ants lay pheromones to form trails for others to find a food source. In this work…

Adaptation and Self-Organizing Systems · Physics 2015-08-18 Shawn D. Ryan

The motion of social insects is often used a paradigmatic example of complex adaptive dynamics arising from decentralized individual behavior. In this paper we revisit the topic of the ruling laws behind burst of activity in ants. The…

Quantitative Methods · Quantitative Biology 2018-07-27 Riccardo Gallotti , Dante R. Chialvo

Army ants perform the altruism that an ant sacrifices its own well-being for the benefit of another ants. Army ants build bridges using their own bodies along the path from a food to the nest. We developed the army ant inspired social…

Multiagent Systems · Computer Science 2018-07-12 Takumi Ichimura , Takuya Uemoto , Akira Hara

In this study, we synthesize a novel dynamical approach for ant colonies enabling them to migrate to new nest sites in a self-organizing fashion. In other words, we realize ant colony migration as a self-organizing phenotype-level…

Robotics · Computer Science 2022-10-11 Matin Macktoobian

Many species of ants forage by building up two files: an outbound one moving from the nest to the foraging area, and a nestbound one, returning from it to the nest. Those files are eventually submitted to different threats. If the danger is…

Adaptation and Self-Organizing Systems · Physics 2015-12-15 F. Tejera , E. Altshuler

Multiple sequence alignment is a key process in today's biology, and finding a relevant alignment of several sequences is much more challenging than just optimizing some improbable evaluation functions. Our approach for addressing multiple…

Quantitative Methods · Quantitative Biology 2008-12-18 Frédéric Guinand , Yoann Pigné

This article presents a unique design for a parser using the Ant Colony Optimization algorithm. The paper implements the intuitive thought process of human mind through the activities of artificial ants. The scheme presented here uses a…

Artificial Intelligence · Computer Science 2016-11-15 Deepyaman Maiti , Ayan Acharya , Amit Konar , Janarthanan Ramadoss

Switching interacting particle systems studied in probability theory are the stochastic processes of hopping particles on a lattice made up of slow and fast particles, where the switching between these types of particles occurs randomly at…

Statistical Mechanics · Physics 2024-05-14 Ayana Ezoe , Saori Morimoto , Yuya Tanaka , Makoto Katori , Hiraku Nishimori

Efficient transportation, a hot topic in nonlinear science, is essential for modern societies and the survival of biological species. Biological evolution has generated a rich variety of successful solutions, which have inspired engineers…

Statistical Mechanics · Physics 2009-11-10 Audrey Dussutour , Vincent Fourcassie , Dirk Helbing , Jean-Louis Deneubourg

Pheromones are a chemical substance produced and released by ants as means of communication. In this work we present the minimum amount of pheromones necessary and sufficient for a colony of ants (identical mobile agents) to…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-07-06 Yehuda Afek , Roman Kecher , Moshe Sulamy

Using elementary distributed computing techniques we suggest an explanation for two unexplained phenomena in regards to ant colonies, (a) a substantial amount of ants in an ant colony are idle, and (b) the observed low survivability of new…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-05-23 Yehuda Afek , Deborah M. Gordon , Moshe Sulamy

Models for the behavior of ants and pedestrians are studied in an unified way in this paper. Each ant follows pheromone put by preceding ants, hence creating a trail on the ground, while pedestrians also try to follow others in a crowd for…

Statistical Mechanics · Physics 2009-11-13 Katsuhiro Nishinari , Ken Sugawara , Toshiya Kazama , Andreas Schadschneider , Debashish Chowdhury

We propose and numerically analyze a PDE model of ant foraging behavior. Ant foraging is a prime example of individuals following simple behavioral rules based on local information producing complex, organized and ``intelligent'' strategies…

Analysis of PDEs · Mathematics 2014-02-25 Paulo Amorim
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