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The concepts of convolutional neural networks (CNNs) and multi-agent systems are two important areas of research in artificial intelligence (AI). In this paper, we present an approach that builds a CNN-based colony of AI agents to serve as…

Neural and Evolutionary Computing · Computer Science 2025-04-09 Shan Suthaharan

Social dilemmas have been widely studied to explain how humans are able to cooperate in society. Considerable effort has been invested in designing artificial agents for social dilemmas that incorporate explicit agent motivations that are…

Multiagent Systems · Computer Science 2021-08-30 Nicolas Anastassacos , Stephen Hailes , Mirco Musolesi

Social insect colonies and ensemble machine learning methods represent two of the most successful examples of decentralized information processing in nature and computation respectively. Here we develop a rigorous mathematical framework…

Machine Learning · Statistics 2026-03-25 Ernest Fokoué , Gregory Babbitt , Yuval Levental

This study proposes a distributed algorithm that makes agents' adaptive grouping entrap multiple targets via automatic decision making, smooth flocking, and well-distributed entrapping. Agents make their own decisions about which targets to…

Multiagent Systems · Computer Science 2022-06-30 Chen Wang , Minqiang Gu , Wenxi Kuang , Dongliang Wang , Weicheng Luo , Zhaohui Shi , Zhun Fan

Using a simple model for the trail formation of ants, the relation between i)the schedule of feeding which represents the unsteady natural environment, ii)emerging patterns of trails connecting a nest with food resources, and iii)the…

Populations and Evolution · Quantitative Biology 2009-11-10 Tomomi Tao , Hiroyuki Nakagawa , Masato Yamasaki , Hiraku Nishimori

Applications of ACO algorithms to obtain better solutions for combinatorial optimization problems have become very popular in recent years. In ACO algorithms, group of agents repeatedly perform well defined actions and collaborate with…

Neural and Evolutionary Computing · Computer Science 2012-03-07 G. S. Raghavendra , N. Prasanna Kumar

Foraging is a widespread behavior, and being part of a group may bring several benefits compared to solitary foraging, such as collective pooling of information and reducing environmental uncertainty. Often theoretical models of collective…

Biological Physics · Physics 2024-12-05 Lisa Blum Moyse , Ahmed El Hady

Decades of scientific inquiry have sought to understand how evolution fosters cooperation, a concept seemingly at odds with the belief that evolution should produce rational, self-interested individuals. Most previous work has focused on…

Populations and Evolution · Quantitative Biology 2025-12-16 Mohammad Salahshour , Iain D. Couzin

We introduce the study of the ant colony house-hunting problem from a distributed computing perspective. When an ant colony's nest becomes unsuitable due to size constraints or damage, the colony must relocate to a new nest. The task of…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-05-15 Mohsen Ghaffari , Cameron Musco , Tsvetomira Radeva , Nancy Lynch

Swarm intelligence is widely recognized as a powerful paradigm of self-organized optimization, with numerous examples of successful applications in distributed artificial intelligence. However, the role of physical interactions in the…

Physics and Society · Physics 2008-10-28 Karsten Peters , Anders Johansson , Audrey Dussutour , Dirk Helbing

Artificial ants are "small" units, moving autonomously on a shared, dynamically changing "space", directly or indirectly exchanging some kind of information. Artificial ants are frequently conceived as a paradigm for collective adaptive…

Artificial Intelligence · Computer Science 2022-08-09 Peter Fettke , Wolfgang Reisig

Building ethical machines may involve bestowing upon them the emotional capacity to self-evaluate and repent on their actions. While apologies represent potential strategic interactions, the explicit evolution of guilt as a behavioural…

Multiagent Systems · Computer Science 2025-05-13 Theodor Cimpeanu , Luis Moniz Pereira , The Anh Han

The emergence of eusocial species is both very rare in evolutionary history and results in remarkably successful species. By inverting an agent based model, agent rules are discovered that display behaviors characteristic of eusocial…

Physics and Society · Physics 2022-09-09 John C. Stevenson

Online information ecosystems are now central to our everyday social interactions. Of the many opportunities and challenges this presents, the capacity for artificial agents to shape individual and collective human decision-making in such…

Populations and Evolution · Quantitative Biology 2023-12-07 Theodor Cimpeanu , Alexander J. Stewart

Modern scientific research has become largely a cooperative activity in the Internet age. We build a simulation model to understand the population-level creativity based on the heuristic ant colony algorithm. Each researcher has two…

Digital Libraries · Computer Science 2022-02-07 Zhuoran He , Tingtao Zhou

Members of various species engage in altruism--i.e. accepting personal costs to benefit others. Here we present an incentivized experiment to test for altruistic behavior among AI agents consisting of large language models developed by the…

Artificial Intelligence · Computer Science 2023-01-09 Tim Johnson , Nick Obradovich

Human interactions are influenced by emotions, temperament, and affection, often conflicting with individuals' underlying preferences. Without explicit knowledge of those preferences, judging whether behaviour is appropriate becomes…

Computer Science and Game Theory · Computer Science 2025-11-05 Victor Villin , Christos Dimitrakakis

Natural Immune system plays a vital role in the survival of the all living being. It provides a mechanism to defend itself from external predates making it consistent systems, capable of adapting itself for survival incase of changes. The…

Artificial Intelligence · Computer Science 2011-03-11 Tejbanta Singh Chingtham , G. Sahoo , M. K. Ghose

A trophallaxis inspired model for distributed transport between randomly interacting agents Trophallaxis, the regurgitation and mouth to mouth transfer of liquid food between members of eusocial insect societies, is an important process…

Biological Physics · Physics 2017-08-16 Johannes Gräwer , Henrik Ronellenfitsch , Marco G. Mazza , Eleni Katifori

We study the problem of distributed task allocation inspired by the behavior of social insects, which perform task allocation in a setting of limited capabilities and noisy environment feedback. We assume that each task has a demand that…

Multiagent Systems · Computer Science 2018-05-15 Anna Dornhaus , Nancy Lynch , Frederik Mallmann-Trenn , Dominik Pajak , Tsvetomira Radeva