Relevant bibliographies by topics / Ant colony social behaviour

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Ant colony social behaviour'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Ant colony social behaviour"

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Hamilton, Casey, Brian T. Lejeune, and Rebeca B. Rosengaus. "Trophallaxis and prophylaxis: social immunity in the carpenter ant Camponotus pennsylvanicus." Biology Letters 7, no. 1 (June 30, 2010): 89–92. http://dx.doi.org/10.1098/rsbl.2010.0466.

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In social insects, group behaviour can increase disease resistance among nest-mates and generate social prophylaxis. Stomodeal trophallaxis, or mutual feeding through regurgitation, may boost colony-level immunocompetence. We provide evidence for increased trophallactic behaviour among immunized workers of the carpenter ant Camponotus pennsylvanicus , which, together with increased antimicrobial activity of the regurgitate droplet, help explain the improved survival of droplet recipient ants relative to controls following an immune challenge. We have identified a protein related to cathepsin D, a lysosomal protease, as a potential contributor to the antimicrobial activity. The combined behavioural and immunological responses to infection in these ants probably represent an effective mechanism underlying the social facilitation of disease resistance, which could potentially produce socially mediated colony-wide prophylaxis. The externalization and sharing of an individual's immune responses via trophallaxis could be an important component of social immunity, allowing insect colonies to thrive under high pathogenic pressures.
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Shimoji, Hiroyuki, Tomonori Kikuchi, Hitoshi Ohnishi, Noritsugu Kikuta, and Kazuki Tsuji. "Social enforcement depending on the stage of colony growth in an ant." Proceedings of the Royal Society B: Biological Sciences 285, no. 1875 (March 28, 2018): 20172548. http://dx.doi.org/10.1098/rspb.2017.2548.

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Altruism is a paradox in Darwinian evolution. Policing is an important mechanism of the evolution and maintenance of altruism. A recently developed dynamic game model incorporating colony demography and inclusive fitness predicts that, in hymenopteran social insects, policing behaviour enforcing reproductive altruism in group members depends strongly on the colony growth stage, with strong policing as the colony develops and a relaxation of policing during the reproductive phase. Here, we report clear evidence supporting this prediction. In the ant Diacamma sp., reproduction by workers was suppressed by worker policing when the colony was small, whereas in large, mature colonies worker policing was relaxed and worker-produced males emerged. Conditional expression of traits can provide strong empirical evidence for natural selection theory if the expression pattern is precisely predicted by the theory, and our results illustrate the importance of intracolony population dynamics in the evolution of social systems.
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Cao, Tuan T., and Anna Dornhaus. "Ants under crowded conditions consume more energy." Biology Letters 4, no. 6 (September 2, 2008): 613–15. http://dx.doi.org/10.1098/rsbl.2008.0381.

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Social insects live in colonies consisting of many workers, where worker interactions play an important role in regulating colony activities. Workers interact within the social space of the nest; therefore, constraints on nest space may alter worker behaviour and affect colony activities and energetics. Here we show in the ant Temnothorax rugatulus that changes in nest space have a significant effect on colony energetics. Colonies with restricted nest space showed a 14.2 per cent increase in metabolic rate when compared with the same colonies in large uncrowded nests. Our study highlights the importance of social space and shows that constraints on social space can significantly affect colony behaviour and energy use in ants. We discuss the implications of our findings regarding social insects in general.
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Tamura, Yoshiki, Tomoko Sakiyama, and Ikuo Arizono. "Ant Colony Optimization Using Common Social Information and Self-Memory." Complexity 2021 (January 7, 2021): 1–7. http://dx.doi.org/10.1155/2021/6610670.

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Ant colony optimization (ACO), which is one of the metaheuristics imitating real ant foraging behavior, is an effective method to find a solution for the traveling salesman problem (TSP). The rank-based ant system (ASrank) has been proposed as a developed version of the fundamental model AS of ACO. In the ASrank, since only ant agents that have found one of some excellent solutions are let to regulate the pheromone, the pheromone concentrates on a specific route. As a result, although the ASrank can find a relatively good solution in a short time, it has the disadvantage of being prone falling into a local solution because the pheromone concentrates on a specific route. This problem seems to come from the loss of diversity in route selection according to the rapid accumulation of pheromones to the specific routes. Some ACO models, not just the ASrank, also suffer from this problem of loss of diversity in route selection. It can be considered that the diversity of solutions as well as the selection of solutions is an important factor in the solution system by swarm intelligence such as ACO. In this paper, to solve this problem, we introduce the ant system using individual memories (ASIM) aiming to improve the ability to solve TSP while maintaining the diversity of the behavior of each ant. We apply the existing ACO algorithms and ASIM to some TSP benchmarks and compare the ability to solve TSP.
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Tamura, Yoshiki, Tomoko Sakiyama, and Ikuo Arizono. "Ant Colony Optimization Using Common Social Information and Self-Memory." Complexity 2021 (January 7, 2021): 1–7. http://dx.doi.org/10.1155/2021/6610670.

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Ant colony optimization (ACO), which is one of the metaheuristics imitating real ant foraging behavior, is an effective method to find a solution for the traveling salesman problem (TSP). The rank-based ant system (ASrank) has been proposed as a developed version of the fundamental model AS of ACO. In the ASrank, since only ant agents that have found one of some excellent solutions are let to regulate the pheromone, the pheromone concentrates on a specific route. As a result, although the ASrank can find a relatively good solution in a short time, it has the disadvantage of being prone falling into a local solution because the pheromone concentrates on a specific route. This problem seems to come from the loss of diversity in route selection according to the rapid accumulation of pheromones to the specific routes. Some ACO models, not just the ASrank, also suffer from this problem of loss of diversity in route selection. It can be considered that the diversity of solutions as well as the selection of solutions is an important factor in the solution system by swarm intelligence such as ACO. In this paper, to solve this problem, we introduce the ant system using individual memories (ASIM) aiming to improve the ability to solve TSP while maintaining the diversity of the behavior of each ant. We apply the existing ACO algorithms and ASIM to some TSP benchmarks and compare the ability to solve TSP.
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Grari, Hicham, Siham Lamzabi, Ahmed Azouaoui, and Khalid Zine-Dine. "Cryptanalysis of Merkle-Hellman cipher using ant colony optimization." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 2 (June 1, 2021): 490. http://dx.doi.org/10.11591/ijai.v10.i2.pp490-500.

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<p class="Abstract"><span id="docs-internal-guid-d3fe8e21-7fff-17fc-df0e-00893428243c"><span>The Merkle-Hellman (MH) cryptosystem is one of the earliest public key cryptosystems, which is introduced by Ralph Merkle and Martin Hellman in 1978 based on an NP-hard problem, known as the subset-sum problem. Furthermore, ant colony optimization (ACO) is one of the most nature-inspired meta-heuristic optimization, which simulates the social behaviour of ant colonies. ACO has demonstrated excellent performance in solving a wide variety of complex problems. In this paper, we present a novel ant colony optimization (ACO) based attack for cryptanalysis of MH cipher algorithm, where two different search techniques are used. Moreover, experimental study is included, showing the effectiveness of the proposed attacking scheme. The results show that ACO based attack is more suitable than many other algorithms like genetic algorithm (GA) and particle swarm optimization (PSO).</span></span></p>
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Pulliainen, Unni, Heikki Helanterä, Liselotte Sundström, and Eva Schultner. "The possible role of ant larvae in the defence against social parasites." Proceedings of the Royal Society B: Biological Sciences 286, no. 1898 (March 6, 2019): 20182867. http://dx.doi.org/10.1098/rspb.2018.2867.

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Temporary social parasite ant queens initiate new colonies by entering colonies of host species, where they begin laying eggs. As the resident queen can be killed during this process, host colonies may lose their entire future reproductive output. Selection thus favours the evolution of defence mechanisms, before and after parasite intrusion. Most studies on social parasites focus on host worker discrimination of parasite queens and their offspring. However, ant larvae can also influence brood composition by consuming eggs. This raises the question whether host larvae can aid in preventing colony takeover by consuming eggs laid by parasite queens. To test whether larvae could play a role in anti-parasite defence, we compared the rates at which larvae of a common host species, Formica fusca , consumed eggs laid by social parasite, non-parasite, nest-mate, or conspecific non-nest-mate queens. Larvae consumed social parasite eggs more than eggs laid by a heterospecific non-parasite queen, irrespective of the chemical distance between the egg cuticular profiles. Also, larvae consumed eggs laid by conspecific non-nest-mate queens more than those laid by nest-mate queens. Our study suggests that larvae may act as players in colony defence against social parasitism, and that social parasitism is a key factor shaping discrimination behaviour in ants.
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Goel, Lavika, and Anubhav Garg. "Sentiment Analysis of Social Networking Websites using Gravitational Search Optimization Algorithm." International Journal of Applied Evolutionary Computation 9, no. 1 (January 2018): 76–85. http://dx.doi.org/10.4018/ijaec.2018010105.

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Analysing sentiments of various online communities have become now an interesting topic of research and industry. The behaviour of online communities resembles that of a swarm. This article presents a Gravitational Search algorithmic approach for sentiment analysis of online communities, and an optimization algorithm which is based on the mass interactions and law of gravity. In the end, the authors present comparisons with other techniques, particularly ant colony optimization and Naive Bayes classification for sentiment analysis.
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Theis, Fabian J., Line V. Ugelvig, Carsten Marr, and Sylvia Cremer. "Opposing effects of allogrooming on disease transmission in ant societies." Philosophical Transactions of the Royal Society B: Biological Sciences 370, no. 1669 (May 26, 2015): 20140108. http://dx.doi.org/10.1098/rstb.2014.0108.

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To prevent epidemics, insect societies have evolved collective disease defences that are highly effective at curing exposed individuals and limiting disease transmission to healthy group members. Grooming is an important sanitary behaviour—either performed towards oneself (self-grooming) or towards others (allogrooming)—to remove infectious agents from the body surface of exposed individuals, but at the risk of disease contraction by the groomer. We use garden ants ( Lasius neglectus ) and the fungal pathogen Metarhizium as a model system to study how pathogen presence affects self-grooming and allogrooming between exposed and healthy individuals. We develop an epidemiological SIS model to explore how experimentally observed grooming patterns affect disease spread within the colony, thereby providing a direct link between the expression and direction of sanitary behaviours, and their effects on colony-level epidemiology. We find that fungus-exposed ants increase self-grooming, while simultaneously decreasing allogrooming. This behavioural modulation seems universally adaptive and is predicted to contain disease spread in a great variety of host–pathogen systems. In contrast, allogrooming directed towards pathogen-exposed individuals might both increase and decrease disease risk. Our model reveals that the effect of allogrooming depends on the balance between pathogen infectiousness and efficiency of social host defences, which are likely to vary across host–pathogen systems.
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Moore, Dani, and Jürgen Liebig. "Mechanisms of social regulation change across colony development in an ant." BMC Evolutionary Biology 10, no. 1 (2010): 328. http://dx.doi.org/10.1186/1471-2148-10-328.

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Dissertations / Theses on the topic "Ant colony social behaviour"

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Bourke, Andrew. "The social biology of the slave-making ant Harpagoxenus sublaevis." Thesis, University of Bath, 1987. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377783.

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Buffin, Aurélie. "Food flow and stock management in an ant colony." Doctoral thesis, Universite Libre de Bruxelles, 2011. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209850.

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The organization of complex societies requires constant information to flow between individuals. Because of their elaborated social structures and principally because of the division of labor, social insects depend on the efficacy of their information web in order to adapt the colony activity to its needs. Although many studies focused on understanding the regulation of the foraging activity, little is known about the intranidal food distribution and stock management regulation. The aim of this thesis is to quantify and describe the dynamics of the food flow and its regulation in an ant colony. A medical imagery technique, scintigraphy, was adapted to follow the propagation of radio-labeled nutrients inside the nest. This technique allowed spatiotemporal dynamics quantification of the food flow and led to the enunciation of simple yet robust regulation rules that are at work during the colony feeding process.

The dynamics of the harvest is regulated by the coupling of a positive and negative feedbacks. The harvest acts as both: negative and positive feedbacks. Entering food-loads trigger foragers to exploit the newly discovered food source through the well-known recruitment process. At the same time, the harvest proportionally reduces the entering food flow until the complete stop of the foraging activity when the colony reaches satiety. Surprisingly, the positive feedback (that is the recruitment) is not responsible for a faster entering food flow and is not influenced by the colony needs while the exploring activity is. The spatial dynamics of the food exchange network revealed stable patterns and fine tuning regulation of the feeding process. Spatial analysis of the food distribution showed that sucrose is heterogeneously stored among individuals and also heterogeneously consumed. We observed a regular spatial structure leading to centralization of the stocks: heavy loaded individuals being at the center of the cluster and weakly loaded individuals at its periphery.

The spatiotemporal quantification of the food flow allowed describing and understanding the flexibility of the colony to adapt its working force according to its nutritional requirements.


Doctorat en Sciences
info:eu-repo/semantics/nonPublished

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Rubano, Vincent. "Social network analysis| Determining betweenness centrality of a network using Ant Colony Optimization." Thesis, Southern Connecticut State University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10108549.

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Betweenness centrality refers to the measure of a node’s influence on the transfer of items within a network. It is a mechanism used to identify participants within an interconnected system that are responsible for processing high frequencies of traffic. This thesis examines the performance characteristics of a specialized artificial intelligence algorithm known as Ant Colony Optimization and its application in the field of social network analysis. The modeling and examination of such algorithms is important largely because of its ability to span across multiple fields of study as well as a variety of network applications. The effects of network analysis can be felt everywhere. Business and military intelligence; hardware resiliency (fault tolerance); network routing, are but a few of the fields that can and do benefit from research due in part to specialized network analysis. In this research paper, extensive social networks are built, execution time is measured, and algorithm viability is tested through the identification of high frequency nodes within real social networks.

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Rodrigues, Pedro A. D. P., and Pedro A. D. P. Rodrigues. "Bacterial Symbionts at the Colony and Individual Levels: Integration through Behavior and Morphology in a Social Insect." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/621295.

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The determination of a symbiotic association as beneficial requires good assessment of the costs and benefits involved in the maintenance and transmission of these microbes across generations. In social insects, symbiotic associations are complex as they may involve a network of interactions between individual and colony that result in stable associations over evolutionary time. My goal was to investigate the roles of behavior and morphology as integrators that have enabled the benefits of harboring gut microbes to reach both adult and growing brood in a colony. To achieve this goal, I used turtle ants (Cephalotes), a group that has co-evolved with their gut microbes since the Eocene (Sanders et al. 2014) and that shows a variety of morphological and behavioral specializations likely connected to this symbiotic association. In my dissertation I present evidence that the specialized behavior and morphology of Cephalotes are indeed strongly associated with mechanisms that ensure stability of ant-gut microbe interactions over evolutionary time. In Appendix A, I show that a valve between the crop and midgut (proventriculus) of C. rohweri works as a filtration organ, capable of excluding possible pathogens from the mostly liquid diet consumed by turtle ants. In addition, the proventricular filter is also associated with the structuring of the gut microbiota, dividing it in at least two great groups: one upstream and another downstream of the proventriculus. Through behavioral observation and microscopy, we also suggest that the formation of the proventricular filter is only complete after young and sterile workers (callows) are inoculated with the core group of symbiotic bacteria. In Appendix B, I present results confirming that the compartmentalization of gut microbiota is also present in the congener C. varians. I compare these results with previously published data, defining the meta-communities of the gut microbiota, and demonstrate that the previously recognized core microbiota is composed of compartment-specific microbial communities and lineages. This compartmentalization of the gut microbiota is similar to the one found in highly specialized herbivores, both vertebrates and invertebrates. In addition, I also sampled the infrabuccal pocket, a characteristic oral cavity found in ants and that has largely been ignored in studies of gut symbiosis. Based on my results, I provide compelling evidence that hindgut microbes are inoculated into food particles trapped in the infrabuccal pocket, aiding in digestion of this substrate. Moreover, I suggest that trophallaxis olays a central role in inoculation of food and individuals, and might be responsible for the transmission of nutrients that are predicted to result from the gut bacteria metabolism. Finally, in Appendix C I characterize abdominal trophallaxis in C. rohweri to gain insight on its role in the context of symbiotic associations with gut microbes. I show that the hindgut contents, including bacteria, can be transmitted via abdominal trophallaxis. This interaction is found to occur between all combinations of major and minor workers, in addition to callows. The rate of solicitation of abdominal trophallaxis is higher when individuals are protein starved, indicating that hindgut content may also be nutritive. Using shotgun metagenomic data, we show that the microbiota present in the infrabuccal pocket (mostly hindgut bacteria) are indeed capable of re-utilizing nitrogen and synthesizing essential amino acids, in addition to breaking down plant material. We also report that oral trophallaxis is a possible route for transmission of crop-specific bacteria for callows, as this group has performed oral trophallaxis at a relatively higher rate than older workers. Put together, these results highlight the importance of nestmate interactions and gut morphology in the establishment and maintenance of symbiotic microbes in a social insect, introducing a new model for explaining the evolution and functioning of ant-gut microbe symbiosis.
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Pickett, Kurt Milton. "Evolution of transitional forms behavior, colony dynamics, and phylogenetics of social wasps (Hymenoptera: Vespidae) /." Connect to this title online, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1069869798.

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Thesis (Ph. D.)--Ohio State University, 2003.
Title from first page of PDF file. Document formatted into pages; contains xv, 271 p.; also includes graphics (some col.) Includes bibliographical references (p. 252-265). Available online via OhioLINK's ETD Center
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Pickett, Kurt Milton. "Evolution of transitional forms: behavior, colony dynamics, and phylogenetics of social wasps (hymenoptera: vespidae)." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1069869798.

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Spencer, Andrew. "Short-term task allocation in small social insect groups." Thesis, University of Bath, 2000. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341102.

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Hewage, Sagarika Chandanie Pathirana. "The behaviour of wood ant foragers at the individual cohort and colony levels in the exploitation of carbohydrate food provided in nature by aphid aggregations." Thesis, University of Edinburgh, 1998. http://hdl.handle.net/1842/15020.

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Aspects of the behaviour of the wood ant Formica aquilonia were studied using semi-natural conditions in the laboratory and under natural conditions in Loch Ard Forest, Aberfoyle, Scotland. In this study the main effort was towards an understanding how the foraging population is structured and controlled. As the preferred food site of the foragers is often the first located site: maximisation of the net energetic yield of the colony as a whole may conflict with the optimal foraging as measured at the individual level. Site allegiance is a constant property of certain individuals within the colony's foraging population. A key component of the foraging system is a mechanism whereby a colony keeps a large proportion of its forager force distributed on the most profitable food sites whilst it members show strong site allegiance. Wood ants discriminate food sources without making comparisons among honeydew sources. Naive foragers show transient behaviours in their foraging repertory more often that veteran, allegiant foragers. This behaviourally flexibility of naive foragers is used to trace novel food sties likely to occur in the habitat. It is represented in this study by the small number of foragers recruited daily. By this recruiting of uncommitted foragers to the foraging population F. aquilonia colonies are able to overcome inherent inertia associated with site allegiance. Although significant differences may be observed at the foragers' level of activity, there are no sub populations operating at day and night time. The gradual declining activity observed when the colony was subjected to a 17.5:6.5 light:dark cycle does not begin immediately after the light out. The rhythmicity was poor in constant dark and complete arhythmicity in constant light suggesting that these rhythms are entrained by light:dark cycles. There was no evidence found to support that F. aquilonia foragers depend on chemical cues to orient to carbohydrate food sources: mainly honeydew provided by aphids.
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Cao, Tuan. "The Effects of Colony Size and Social Density on Individual and Group Level Behavior and Energetics in Ants." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/293462.

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Social insects are used as models for understanding the evolution of sociality because they show seemingly complex behavioral and physiological traits that enforce group cohesion, collective organization, and group level reproduction. Social organization in insect societies requires workers to share information. Information sharing allows workers to efficiently perform and switch among tasks to meet colony needs. For many species that nest in preformed cavities, colony growth results in crowding inside the nest which can affect colony productivity and fitness. How does colony size and social density affect individual and collective behavior? Using a combination of laboratory and field experiments, I have begun to answer this question. In Temnothorax rugatulus ants, high social density resulted in greater colony energy use. In addition, larger colonies used proportionally less energy compared to smaller colonies, but showed reduced brood production. These results indicate that the way colonies use energy changes with social density and group size. In analyzing the effects of colony size and density on worker behavior, I found that high density increased worker connectivity and information sharing. Workers in larger colonies showed less connectivity compared to workers in smaller colonies. Interestingly, workers with more interactions spent less time in brood care. This study shows that workers' access to information and the overall pattern of information flow are affected by social density and colony size, and changes in worker connectivity can influence task behavior. The next study shows that field colonies maintained a relatively constant level of intranidal density irrespective of colony size; this suggests that Temnothorax ants actively regulate social density. When colonies were established in high density nests, they showed greater foraging and scouting activities, and this led to a higher probability for becoming polydomous, i.e., occupying multiple nests. When polydomy occurred, colonies divided evenly between two nests, but distributed fewer, heavier workers and brood to the supplemental nests. Taken together, the first four studies indicate that social density is an important colony phenotype that affects individual and collective behavior and energetics in ants, and the collective management of social density may be a group adaptation in ants and other social insects. Lastly, because crowding affects polydomy behavior, the final two experiments tested whether colony emigration and nest construction and dispersion, two strategies for reducing intranidal crowding, are influenced by food distribution. Temnothorax colonies preferred to emigrate to nests positioned closer to food, and weaver ants (Oecophylla smaragdina) positioned newly constructed nests in food-rich areas. Furthermore, weaver ants used the newly constructed nests to more rapidly retrieve and safeguard valuable food items. Thus, strategic emigrations and adaptive nest dispersion can remedy intranidal crowding and at the same time allow growing colonies to acquire adequate food to meet colony needs.
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Shreve, Kristyn R. "The Influence of Food Distribution and Relatedness on the Social Behaviours and Proximities of Free-Roaming Cats (Felis silvestris catus)." Miami University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=miami1414773468.

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Books on the topic "Ant colony social behaviour"

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Provine, Robert R. Beyond the Smile. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190613501.003.0011.

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With the expectation that innovation, insight, and discovery will come from researching neglected topics, this chapter explores human instincts, including yawning, laughing, vocal crying, emotional tearing, coughing, nausea and vomiting, itching and scratching, and changes in scleral color. The critical change approach is exploited to analyze recently evolved, uniquely human traits (e.g., human-type laughter and speech, emotional tearing, scleral color cues) and compare them with thir primate antecendents, seeking the specific neurological, glandular, and muscular processes responsible for their genesis. Particular attention is paid to contagious behaviors, with the anticipation that they may reveal the roots of sociality and empathy. Few of these curious behaviors are traditionally considered in the context of facial expression or emotion, but they deserve recognition for what they can contribute to behavioral neuroscience and social biology.
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Book chapters on the topic "Ant colony social behaviour"

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Kraus, F. Bernhard, and Robin F. A. Moritz. "Extreme polyandry in social Hymenoptera: evolutionary causes and consequences for colony organisation." In Animal Behaviour: Evolution and Mechanisms, 413–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-02624-9_14.

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Di Chio, Cecilia, Riccardo Poli, and Paolo Di Chio. "Extending the Particle Swarm Algorithm to Model Animal Foraging Behaviour." In Ant Colony Optimization and Swarm Intelligence, 514–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11839088_58.

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Carrillo, Liliana, José L. Marzo, Lluís Fàbrega, Pere Vilà, and Carles Guadall. "Ant Colony Behaviour as Routing Mechanism to Provide Quality of Service." In Ant Colony Optimization and Swarm Intelligence, 418–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28646-2_44.

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Millor, Jesus, José Halloy, Jean-Marc Amé, and Jean-Louis Deneubourg. "Individual Discrimination Capability and Collective Choice in Social Insects." In Ant Colony Optimization and Swarm Intelligence, 167–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11839088_15.

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Melo, Adriano, Ronaldo Menezes, Vasco Furtado, and André L. V. Coelho. "Self-organized and Social Models of Criminal Activity in Urban Environments." In Ant Colony Optimization and Swarm Intelligence, 518–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11839088_60.

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Gurrapadi, Nishant, Lydia Taw, Mariana Macedo, Marcos Oliveira, Diego Pinheiro, Carmelo Bastos-Filho, and Ronaldo Menezes. "Modelling the Social Interactions in Ant Colony Optimization." In Intelligent Data Engineering and Automated Learning – IDEAL 2019, 216–24. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33617-2_23.

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Hisakado, Masato, and Shintaro Mori. "Information Cascade, Kirman’s Ant Colony Model, and Kinetic Ising Model." In Agent-Based Social Systems, 81–97. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-7194-2_6.

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Thangavel, K., and A. Kaja Mohideen. "Mammogram Classification Using ANFIS with Ant Colony Optimization Based Learning." In Digital Connectivity – Social Impact, 141–52. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3274-5_12.

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Ilie, Sorin, and Costin Badica. "Handling Dynamic Networks Using Ant Colony Optimization on a Distributed Architecture." In Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems, 653–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04441-0_57.

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Seeley, Thomas D., and Royce A. Levien. "Social Foraging by Honeybees: How a Colony Tracks Rich Sources of Nectar." In Neurobiology and Behavior of Honeybees, 38–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-71496-2_4.

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Conference papers on the topic "Ant colony social behaviour"

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Harfouche, Leila, Herve Costantini, and Selma Boumerdassi. "Social mobility models using ant colony systems." In 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC 2011). IEEE, 2011. http://dx.doi.org/10.1109/pimrc.2011.6139924.

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Srivastava, Gautam, Mykel Shumay, and Evan Citulsky. "Social Network Anonymity using Ant Colony Systems." In Annual International Conference on Computer Games Multimedia and Allied Technologies (CGAT 2017). Global Science & Technology Forum (GSTF), 2017. http://dx.doi.org/10.5176/2251-1679_cgat17.19.

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Zhao, Yunhong. "Improved Optimization Algorithm of Ant Colony." In 2016 2nd International Conference on Social Science and Technology Education (ICSSTE 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/icsste-16.2016.98.

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Yi, Zhang, Zhang Meng, and Cao Xin-yan. "Analysis the Uncertainties of the Ant Colony Algorithm." In 2010 International Conference on Computational Aspects of Social Networks (CASoN 2010). IEEE, 2010. http://dx.doi.org/10.1109/cason.2010.94.

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5

Xu, Jing, and Qiunan Meng. "Multi-product Pricing Method Based on Improved Ant Colony Algorithm." In 3rd International Symposium on Social Science (ISSS 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/isss-17.2017.82.

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Li, Xinxin, Yi Luo, and Juntao Zhang. "Ant colony optimization with the characteristic of social work division." In 2008 Chinese Control and Decision Conference (CCDC). IEEE, 2008. http://dx.doi.org/10.1109/ccdc.2008.4598101.

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7

Shih, Hong-Chi, Shu-Chuan Chu, John F. Roddick, Mao-Hsiung Hung, and Jeng-Shyang Pan. "Power Reduction of Wireless Sensor Networks Using Ant Colony Optimization." In 2010 International Conference on Computational Aspects of Social Networks (CASoN 2010). IEEE, 2010. http://dx.doi.org/10.1109/cason.2010.110.

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Javadi, Saeed H. S., Shahram Khadivi, M. Ebrahim Shiri, and Jia Xu. "An ant colony optimization method to detect communities in social networks." In 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2014. http://dx.doi.org/10.1109/asonam.2014.6921583.

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Wu, Yanfei, Yanqin Zhu, and Zhe Yang. "Routing algorithm based on ant colony optimization for mobile social network." In 2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD). IEEE, 2017. http://dx.doi.org/10.1109/snpd.2017.8022736.

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Zhu, Yunliang, Baoyu Ding, Junfeng Bao, Zisen Mao, and Xinghu Teng. "Social Force 3D Evacuation Model based on Improved Ant Colony Algorithm." In Proceedings of the 1st International Symposium on Innovation and Education, Law and Social Sciences (IELSS 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/ielss-19.2019.8.

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