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A Spatially Dependent Probabilistic Model for House Hunting in Ant Colonies [article]

Grace Cai, Wendy Wu, Wayne Zhao, Jiajia Zhao, Nancy Lynch
2021 arXiv   pre-print
We extend previous house-hunting models to account for a pairwise distance metric between nests, compare our results to those of real colonies, and use our results to examine the effects of house hunting  ...  Ant species such as Temnothorax albipennis select a new nest site in a distributed fashion that, if modeled correctly, can serve as useful information for site selection algorithms for robotic swarms and  ...  Nest-Quality-Dependent Parameters In actual house-hunting ant-colonies, the ants' tandemrunning and quorum sensing behavior is dependent on site quality.  ... 
arXiv:2106.06867v1 fatcat:3nj7w6iggjdjjppvhdiqhipfry

Local Termination Criteria for Stochastic Diffusion Search: A Comparison with the Behaviour of Ant Nest-Site Selection [chapter]

J. Mark Bishop, Andrew O. Martin, Elva J. H. Robinson
2016 Lecture Notes in Computer Science  
natural termination criterion deployed in nature by some species of tandem-running ants.  ...  Population based decision mechanisms employed by many Swarm Intelligence methods can suffer poor convergence resulting in ill-defined halting criteria and loss of the best solution.  ...  active agents and the latter the total number of active agents maintaining the same hypothesis. 3 Collective decision-making in house hunting ants A model system for collective decision-making is provided  ... 
doi:10.1007/978-3-319-45243-2_44 fatcat:gen6fpxbjzdiphno27bqjgfqbu

Negative feedback may suppress variation to improve collective foraging performance [article]

Andreagiovanni Reina, James A. R. Marshall
2020 bioRxiv   pre-print
In ants and bees individual foragers have been observed to use negative pheromones or mechano-auditory signals to indicate that forage sources are not ideal, for example being unrewarded, crowded, or dangerous  ...  Since robustness is a key aim for biological systems, and deviation from target foraging distributions may be costly, we argue that this could be a further important and hitherto overlooked reason that  ...  Acknowledgements The authors thank Gianni Di Caro, Ulrike Feudel and David Wagg for useful discussions.  ... 
doi:10.1101/2020.04.21.053074 fatcat:keqcwonsozdenbkm4s65uqx3qe

Key Factors for the Emergence of Collective Decision in Invertebrates

Raphaël Jeanson, Audrey Dussutour, Vincent Fourcassié
2012 Frontiers in Neuroscience  
Examples of such decisions are found in a variety of invertebrate taxa and in many different contexts, e.g., exploring a new territory, foraging for food, finding a suitable location where to aggregate  ...  perceptive and cognitive capacities such as ants and bees.  ...  ACKNOWLEDGMENTS We are grateful to Simon Daoust for proof reading the manuscript.  ... 
doi:10.3389/fnins.2012.00121 pmid:22933990 pmcid:PMC3422758 fatcat:lwyrehhfkncedl5s3gef4ad5lu

Distributed Computing Column 56 Annual Review 2014

Jennifer L. Welch
2014 ACM SIGACT News  
I am grateful to Sébastien Tixeuil and Sanjai Narain for kindly providing pictures for this document.  ...  The local organization team, led by Sylvie Delaët, Maria Gradinariu Potop-Butucaru, and Sébastien Tixeuil, did an amazing job in running the conference smoothly and enjoyably.  ...  A number of speakers talked about the house-hunting process of both ants and bees, in which the colony of insects needs to move from its current nest to a new one maximizing different utility functions  ... 
doi:10.1145/2696081.2696098 fatcat:byfgwk65yvgnpprwx5ycvov24i

On Application of Neural Networks' Modeling for Analytical Comparative Study between Two Optimally Selected Made Decisions by Ant Colony Systems

Hassan M. H. Mustafa, Fadhel Ben Tourkia
2018 American Journal of Educational Research  
This piece of research presents a comparative analytical study for two diversified, and challenging issues regarding decisions made by Ant Colony Systems.  ...  Interestingly, the presented realistic simulation of (ANN S ) behavioral learning paradigms results in the analogy between number of neurons and number of ant mates in ant colony systems.  ...  In this study, we use the model system of the house hunting ant Temnothorax albipennis to demonstrate a key strategy that can shorten migration exposure times in a group of social insects.  ... 
doi:10.12691/education-6-4-3 fatcat:lmubsck7gjggpamcd3b2q453x4

Local Termination Criteria for Swarm Intelligence: A Comparison Between Local Stochastic Diffusion Search and Ant Nest-Site Selection [chapter]

Andrew O. Martin, J. Mark Bishop, Elva J. H. Robinson, Darren R. Myatt
2018 Lecture Notes in Computer Science  
Stochastic diffusion search (SDS) is a global Swarm Intelligence optimisation technique based on the behaviour of ants, rooted in the partial evaluation of an objective function and direct communication  ...  Although population based decision mechanisms employed by many Swarm Intelligence methods can suffer poor convergence resulting in ill-defined halting criteria and loss of the best solution, as a result  ...  A model system for collective decision-making and the use of quorum thresholds is provided by the process of house-hunting in social insects, such as honeybees and cavity-nesting ants.  ... 
doi:10.1007/978-3-662-58611-2_3 fatcat:s4uocvhjujajznvswaif4bfmii

Linear recruitment leads to allocation and flexibility in collective foraging by ants

Zachary Shaffer, Takao Sasaki, Stephen C. Pratt
2013 Animal Behaviour  
We built a model based upon the behaviour of individual ants and found that colony-level qualities of choice, allocation and flexibility can be predicted by two behaviours: quality-dependent linear recruitment  ...  We examined the consequences of tandem running, a linear method of recruitment, for collective decision making by foraging colonies of the ant Temnothorax rugatulus.  ...  We thank Gage Schaper and Savannah Christy for assistance in data collection, and Jean-Louis Deneubourg for valuable guidance on the nonlinearity hypothesis.  ... 
doi:10.1016/j.anbehav.2013.08.014 fatcat:3dfdypnh35gqbgrclh55tkgpsa

The biological principles of swarm intelligence

Simon Garnier, Jacques Gautrais, Guy Theraulaz
2007 Swarm Intelligence  
For the first issue of this journal dedicated to swarm intelligence, we review the main biological principles that underlie the organization of insects' colonies.  ...  From the routing of traffic in telecommunication networks to the design of control algorithms for groups of autonomous robots, the collective behaviors of these animals have inspired many of the foundational  ...  Acknowledgements We thank all the members of the EMCC group in Toulouse for many helpful discussions and comments. We also thank the three anonymous reviewers for their useful advices.  ... 
doi:10.1007/s11721-007-0004-y fatcat:zfuqkoldtzd7bgu5lbnzjhpipi

In Science Journals

H. Jesse Smith, Michael A. Funk, Di Jiang, Jelena Stajic, Phil Szuromi, Caroline Ash, Pamela J. Hines, Leslie K. Ferrarelli, Gemma Alderton, Seth Thomas Scanlon, Tage S. Rai, Jake Yeston (+5 others)
2021 Science  
Sommeria-Klein et al. explored the patterns and drivers of biogeography in eukaryotic plankton using a probabilistic model of taxon co-occurrence to compare the biogeography of 70 major groups, including  ...  They observed features that are conserved across cell types, as well as cell-type-dependent spatial arrangements at the megabase level.  ...  At the request of a presumed descendant of the famous Lakota leader Tatanka Iyotake (Sitting Bull), Moltke et al. developed a powerful new method for the analysis of DNA in these kinds of circumstances  ... 
doi:10.1126/science.acx9415 pmid:34709894 fatcat:vjutpmqwmndedgtelsoi6mabb4

Ant-Inspired Allocation [chapter]

Spring Berman, Ádám Halász, M Hsieh
2011 Bio-Inspired Computing and Networking  
Our work is inspired by an experimentally based model of ant house-hunting, a decentralized process in which a colony attempts to emigrate to the best nest site among several alternatives.  ...  In our approach, we design a continuous model of the swarm that satisfies the global objectives and use this model to define stochastic control policies for individual robots that produce the desired collective  ...  This is clearly seen in the house-hunting process of the Temnothorax albipennis ants.  ... 
doi:10.1201/b10781-13 fatcat:zxamvsupgjfszkusf7s3qlshxq

Ant search strategies after interrupted tandem runs

N. R. Franks, T. O. Richardson, S. Keir, S. J. Inge, F. Bartumeus, A. B. Sendova-Franks
2010 Journal of Experimental Biology  
ACKNOWLEDGEMENTS We thank all members of the Bristol Ant Lab and its associates for helpful discussions of many of the issues and analyses in this study. T.O.R. and A.B.S.  ...  BB/G02166X/1) for their support.  ...  In the context of house hunting, this behaviour might be strategically beneficial because a leader, once it has given up on its lost follower, could rapidly determine if a quorum has been met in the new  ... 
doi:10.1242/jeb.031880 pmid:20435821 fatcat:o5fhmsbvuzgpzlvkeq26hqxnnm

Effects of Spatiality on Value-Sensitive Decisions Made by Robot Swarms [chapter]

Andreagiovanni Reina, Thomas Bose, Vito Trianni, James A. R. Marshall
2018 Distributed Autonomous Robotic Systems  
We present a macroscopic model of value-sensitive decision-making inspired by house-hunting honeybees, and implement a solution for both a multiagent system and a kilobot swarm.  ...  We show how the dynamics presented by the robotic system match or depart from the model predictions in both a qualitative and quantitative way as a result of spatial constraints.  ...  Finally, the authors thank Michael Port for the valuable help in building the infrastructure necessary to conduct the robot experiments.  ... 
doi:10.1007/978-3-319-73008-0_32 dblp:conf/dars/ReinaBTM16 fatcat:7xeklexr3ffu5hi6qoptxu3d24

Quantitative Terrorism Risk Assessment

2002 The Journal of Risk Finance  
This basic framework for a probabilistic model of terrorist activity is the same for any terrorist organization, but in as much as their motives, strategies and objectives differ, so also will the model  ...  Although originally developed in the context of cellular robotic systems, the foremost paradigm for swarm intelligence is that of the ant colony, which has the remarkable capability of collectively arriving  ... 
doi:10.1108/eb022949 fatcat:ealbnppsyfbxpn7ksfozzv4tu4

Analysis of emergent symmetry breaking in collective decision making

Heiko Hamann, Thomas Schmickl, Heinz Wörn, Karl Crailsheim
2010 Neural computing & applications (Print)  
In addition, we investigate the connection between the ability of the MAS to break symmetries and the ability to stay flexible in a dynamic environment.  ...  The ability of the MAS to successfully break the symmetry depends significantly on a local-neighborhood based threshold of the agents' control algorithm that determines at which number of neighbors the  ...  experiments and for building the honeybee temperature arena.  ... 
doi:10.1007/s00521-010-0368-6 fatcat:w6cdumhw7bcldo274fhje2io2m
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