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Intrinsic stochasticity and the emergence of collective behaviours in insect swarms

Andy M. Reynolds
2021 The European Physical Journal E : Soft matter  
Intrinsic stochasticity associated with finite population size is fundamental to the emergence of collective behaviours in insect swarms.  ...  Here, I identify the hallmarks of intrinsic multiplicative (position dependent) stochasticity and show that they are evident in quiescent laboratory swarms of the non-biting midge Chironomus riparius.  ...  The collective behaviour is evident in their emergent macroscopic mechanical properties.  ... 
doi:10.1140/epje/s10189-021-00040-x pmid:33686572 fatcat:dju3bcn3szeabbxpafb7qhwsli

Insect swarms can be bound together by repulsive forces

A. M. Reynolds
2020 The European Physical Journal E : Soft matter  
In homogeneous swarms, the net inward acceleration balances the tendency of diffusion (stochastic noise) to transport individuals away from the centre of the swarm.  ...  The new finding adds to the growing realization that insect swarms are analogous to self-gravitating systems.  ...  The collective behaviour is evident in their emergent macroscopic mechanical properties.  ... 
doi:10.1140/epje/i2020-11963-x pmid:32556811 fatcat:sj2mgheconh45i2ty2tvbkxwpu

Emergent dynamics of laboratory insect swarms

Douglas H. Kelley, Nicholas T. Ouellette
2013 Scientific Reports  
Here, we report three-dimensional, time-resolved measurements of the positions, velocities, and accelerations of individual insects in laboratory swarms of the midge Chironomus riparius.  ...  Our results provide quantitative data against which the emergent characteristics of animal aggregation models can be benchmarked.  ...  This work was partially supported by the Army Research Office under grant no. W911Nf-12-1-0517.  ... 
doi:10.1038/srep01073 pmid:23323215 pmcid:PMC3545223 fatcat:x6h4gnlcvbdh3nr3dsx34uilyy

Langevin dynamics encapsulate the microscopic and emergent macroscopic properties of midge swarms

A. M. Reynolds
2018 Journal of the Royal Society Interface  
In contrast to bird flocks, fish schools and animal herds, midge swarms maintain cohesion but do not possess global order.  ...  This may explain why such correlations are absent in laboratory swarms but present in natural swarms which contend with the wind and other disturbances.  ...  I thank Michael Sinhuber for helpful communications about quantifying the topological structure of insect swarms.  ... 
doi:10.1098/rsif.2017.0806 pmid:29298958 pmcid:PMC5805982 fatcat:tx6w5a4hlbdr5ovr66gqtulcbi

Searching for effective forces in laboratory insect swarms

James G. Puckett, Douglas H. Kelley, Nicholas T. Ouellette
2014 Scientific Reports  
On the other hand, we also find that the midges are strongly bound to the swarm itself, since the size of the swarm is also on the order of the mean free path.  ...  At larger scales, however, the interpretation of the acceleration statistics is less clear, since on average the midges display an approximately equivalent acceleration in the direction of almost any feature  ...  Acknowledgments This work was supported by the U.S. Army Research Office under grants W911NF-12-1-0517 and W911NF-13-1-0426.  ... 
doi:10.1038/srep04766 pmid:24755944 pmcid:PMC3996478 fatcat:tndvalz2g5gqxejdbjrddsxr3e

Optimization of Swarm-Based Simulations

Sebastian von Mammen, Abbas Sarraf Shirazi, Vladimir Sarpe, Christian Jacob
2012 ISRN Artificial Intelligence  
In computational swarms, large numbers of reactive agents are simulated.  ...  From a more general perspective though, swarms are a means of representation and computation to bridge the gap between local, individual interactions, and global, emergent phenomena.  ...  In this section, we present several approaches to optimize the local behaviours of swarm individuals in order to retrace predefined emergent phenomena.  ... 
doi:10.5402/2012/365791 fatcat:t7pfgp3vejhjvbgvnndgnsi23i

An adaptive cruise control method based on improved variable time headway strategy and particle swarm optimization algorithm

Lei Yang, Jin Mao, Kai Liu, Jinfu Du, Jiang Liu
2020 IEEE Access  
During the car following process, in order to improve ACC ability to coordinate various goals and adaptability in a complex and variable driving environment, the variable time headway spacing strategy  ...  Aiming at the deceleration adaptability, an improved variable time headway strategy is proposed, which adjusts the value of acceleration weight according to the deceleration duration and deceleration changes  ...  CONDITIONS In order to fully verify the vehicle's driving stability under emergency acceleration and deceleration, it is assumed that the initial speed of the ACC vehicle and the target vehicle both are  ... 
doi:10.1109/access.2020.3023179 fatcat:3gkvfr2l5jedddj35qtr3uvdmi

Self-organised music

TIM BLACKWELL, MICHAEL YOUNG
2004 Organised Sound  
The improvisational element of our model arises from the dynamics of a particle swarm.  ...  A process called interpretation extracts musical parameters from the aural sound environment, and uses these parameters to place attractors in the environment of the swarm, after which stigmergy can take  ...  The particle accelerations determine the development of the swarm in time; they are presented in some detail in section 4.2.  ... 
doi:10.1017/s1355771804000214 fatcat:urfdkgcbn5gqlhyh7wot2znsba

Hierarchical Swarm Model: A New Approach to Optimization

Hanning Chen, Yunlong Zhu, Kunyuan Hu, Xiaoxian He
2010 Discrete Dynamics in Nature and Society  
This paper presents a novel optimization model called hierarchical swarm optimization (HSO), which simulates the natural hierarchical complex system from where more complex intelligence can emerge for  ...  This performance improvement is obtained by constructing the HSO hierarchies, which means that an agent in a higher level swarm can be composed of swarms of other agents from lower level and different  ...  Each level is a multiagent system composed of several swarms of agents. 2 Each swarm of level n − 1 agents is aggregated into a level-n agent. 3 Level-n behavior emerges from the organization of level  ... 
doi:10.1155/2010/379649 fatcat:6tdzust6szccxiknotluqiofvm

Search and rescue with autonomous flying robots through behavior-based cooperative intelligence

Ross D. Arnold, Hiroyuki Yamaguchi, Toshiyuki Tanaka
2018 Journal of International Humanitarian Action  
In computer simulations, the swarm is successful in locating over 90% of survivors in less than an hour. The swarm is controlled by new sets of reactive behaviors which are presented and evaluated.  ...  The behaviors are implemented in simulation on swarms of sizes from 1 to 20 robots.  ...  Funding Funding was provided by the Japan Acquisition, Logistics and Technology Agency and the United States Department of Defense. The authors are employees of these agencies.  ... 
doi:10.1186/s41018-018-0045-4 fatcat:mthu6nq3ufepfmi6gu454hhvpy

Collective motion patterns of swarms with delay coupling: Theory and experiment

Klementyna Szwaykowska, Ira B. Schwartz, Luis Mier-y-Teran Romero, Christoffer R. Heckman, Dan Mox, M. Ani Hsieh
2016 Physical review. E  
We also show how the bifurcation structure for emergence of different patterns changes with heterogeneity in agent acceleration capabilities and limited connectivity in the network as a function of coupling  ...  The formation of coherent patterns in swarms of interacting self-propelled autonomous agents is a subject of great interest in a wide range of application areas, ranging from engineering and physics to  ...  Understanding the natural emerging dynamics of the system in these circumstances allows us to exploit them when designing controls for swarming applications.  ... 
doi:10.1103/physreve.93.032307 pmid:27078366 fatcat:3pj2opgclveh7gqsuis67bzmta

Are midge swarms bound together by an effective velocity-dependent gravity?

Andrew M. Reynolds, Michael Sinhuber, Nicholas T. Ouellette
2017 The European Physical Journal E : Soft matter  
The midges appear somewhat paradoxically to be tightly bound to the swarm whilst at the same time weakly coupled inside it. The microscopic origins of this behaviour have remained elusive.  ...  Midge swarms are a canonical example of collective animal behaviour where local interactions do not clearly play a major role and yet the animals display group-level cohesion.  ...  Physically, this hierarchy of models corresponds to the inclusion of a velocity autocorrelation timescale at first order, the addition of an acceleration autocorrelation timescale at second order, and  ... 
doi:10.1140/epje/i2017-11531-7 pmid:28417322 fatcat:7glw6y4u7fayxar4lgqet5nsqm

Analysis of the Emergence in Swarm Model Based on Largest Lyapunov Exponent

Yu Wu, Jie Su, Hong Tang, Huaglory Tianfield
2011 Mathematical Problems in Engineering  
In this paper, we conduct a quantitative study on the emergence of swarm model by using chaos analysis of complex dynamic systems.  ...  Emergent behaviors of collective intelligence systems, exemplified by swarm model, have attracted broad interests in recent years.  ...  Prediction and control are two main concerns with emergent behaviors. In order to predict emergent behaviors, the first thing is analysis and evaluation of dynamic behaviors of systems.  ... 
doi:10.1155/2011/745257 fatcat:z4wykmy7bfambnbyuvmwrsd2m4

A dissipative particle swarm optimization [article]

Xiao-Feng Xie, Wen-Jun Zhang, Zhi-Lian Yang
2005 arXiv   pre-print
A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure.  ...  The testing of two multimodal functions indicates it improves the performance effectively  ...  Understanding the emergence and evolution of biological and social order has been a fundamental goal of evolutionary theory.  ... 
arXiv:cs/0505065v2 fatcat:643helaxxbhfxjcpyqirigr7ru

Swarms and Swarm Intelligence

Michael G. Hinchey, Roy Sterritt, Chris Rouff
2007 Computer  
Intelligent swarm technologies solve complex problems that traditional approaches cannot.  ...  The emergence of such complex behavior extends beyond swarms.  ...  Similar complex social structures also occur in higher-order animals and insects that don't swarm: colonies of ants, flocks of birds, or packs of wolves. These groups behave like swarms in many ways.  ... 
doi:10.1109/mc.2007.144 fatcat:3nhlq56pbrhmxkwgorxhggztvm
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