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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.  ...  The swarm individuals may coordinate their movements in a "search space" to create efficient routes, to occupy niches, or to find the highest peaks.  ...  A system of automated abstraction, which learns the local patterns and subsumes them as high-level agents, offers a perspective for a truly scalable computational approach.  ... 
doi:10.5402/2012/365791 fatcat:t7pfgp3vejhjvbgvnndgnsi23i

Network security using self organized multi agent swarms

Eric M. Holloway, Gary B. Lamont, Gilbert L. Peterson
2009 2009 IEEE Symposium on Computational Intelligence in Cyber Security  
This paper proposes a new computer network security approach defined by self organized agent swarms (SOMAS) which provides a novel computer network security management framework based upon desired overall  ...  Example swarm specific and network based behaviors are formalized and simulated.  ...  Eric Holloway would like to thank Adam Holloway, Abraham Lewis, David Kristof, and Elliot Temple for the helpful discussions and critiques.  ... 
doi:10.1109/cicybs.2009.4925102 dblp:conf/cics/HollowayLP09 fatcat:s5dgbotxeve47jk2kqzpyzc7vm

UAV Swarm Mission Planning and Routing using Multi-Objective Evolutionary Algorithms

Gary B. Lamont, James N. Slear, Kenneth Melendez
2007 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making  
The purpose of this research is to design and implement a comprehensive mission planning system for swarms of autonomous aerial vehicles (UAV).  ...  The culmination of this effort is the development of an extensible developmental path planning model integrated with swarm behavior and tested with a parallel UAV simulation.  ...  Acknowledgements: This effort is a research element of the AFIT Advanced Navigation Technology Laboratory.  ... 
doi:10.1109/mcdm.2007.369410 dblp:conf/cimcdm/LamontSM07 fatcat:7tdcev3sxfhevagxrplootycoy

Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs

Cristian Rotaru, Octav Brudaru
2012 2012 IEEE Congress on Evolutionary Computation  
Two feature functions are used to measure the similarity between chromosomes. The approach considers multiple parallel evolving grids.  ...  This paper presents a cellular genetic algorithm for optimizing the variable order in Reduced Ordered Binary Decision Diagrams. The evolution process is inspired by a basic genetic algorithm.  ...  This paper presents a novel approach to the problem of optimizing the variable order for ROBDDs.  ... 
doi:10.1109/cec.2012.6256590 dblp:conf/cec/RotaruB12 fatcat:4ly3nrktw5habc6lf5err7d5py

Current advancements on autonomous mission planning and management systems: An AUV and UAV perspective

Adham Atyabi, Somaiyeh MahmoudZadeh, Samia Nefti-Meziani
2018 Annual Reviews in Control  
As a result, UVs can now take part in more complex mission where continuous transformation in environmental condition calls for a higher level of situational responsiveness.  ...  to stressing some possible future directions and discussing the learned lessons.  ...  Combination of high-level structures and a bottom-up approach is proposed by Zhu et al. [88] for navigating a swarm of robots.  ... 
doi:10.1016/j.arcontrol.2018.07.002 fatcat:fq5q25mqgjhczjtojlganzrmue

Distributed and Democratized Learning: Philosophy and Research Challenges [article]

Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar, Nguyen H. Tran, Mingzhe Chen, Walid Saad, Choong Seon Hong
2020 arXiv   pre-print
Finally, we establish possible extensions and new challenges for the existing learning approaches to provide better scalable, flexible, and more powerful learning systems with the new setting of Dem-AI  ...  Correspondingly, inspired by the societal groups of humans, the specialized groups of learning agents in the proposed Dem-AI system are self-organized in a hierarchical structure to collectively perform  ...  In swarm intelligence system, e.g., swarm robotics, the selforganized behaviors of a large number of robots can coordinate with each other to design robust, scalable, and flexible collective behaviors  ... 
arXiv:2003.09301v2 fatcat:r2wpohc4tjbfxntso44yhag3ly

Artificial Neurogenesis: An Introduction and Selective Review [chapter]

Taras Kowaliw, Nicolas Bredeche, Sylvain Chevallier, René Doursat
2014 Studies in Computational Intelligence  
It explores new methodologies to model and create precise architectures that self-organize from a swarm of heterogeneous agents, in particular by development.  ...  Offering a different approach to developmental systems, GRNs became a strong source of inspiration for researchers in computer science for obvious reasons.  ... 
doi:10.1007/978-3-642-55337-0_1 fatcat:xx6nzfvbmfgzjhse6t5il3lbxe

Advances in complexity engineering

R. Frei, Giovanna Di Marzo Serugendo
2011 International Journal of Bio-Inspired Computation (IJBIC)  
Foundation for Science and Technology; she currently receives a postdoc grant from the Swiss National Science Foundation.  ...  Although this article is directed at promoting complexity engineering, the authors are aware of the fact Acknowledgements This work was started while Regina Frei received a PhD grant from the Portuguese  ...  For instance, swarming birds only follow very simple local rules, but as a whole the swarm exhibits sophisticated dynamic formations.  ... 
doi:10.1504/ijbic.2011.041144 fatcat:ltwoxjnpzfbc5htriyb6vofdfy

Robustness Analysis and Failure Recovery of a Bio-Inspired Self-Organizing Multi-Robot System

Yaochu Jin, Hongliang Guo, Yan Meng
2009 2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems  
This paper focuses on the empirical analysis of robustness of the self-organizing multi-robot system to the changes in tasks, noise in the robot system and changes in the environment.  ...  We investigate the performance variation when the system is optimized for one shape and then employed for a new shape.  ...  A decentralized approach to formation control for swarms of mobile agents was proposed in [3] , where the predefined shape information is superimposed on the agents coordinate systems using a container  ... 
doi:10.1109/saso.2009.19 dblp:conf/saso/JinGM09 fatcat:jeg3hl3cafekbaexbb763ohyli

Are There Biomimetic Lessons from Genetic Regulatory Networks for Developing a Lunar Industrial Ecology?

Alex Ellery
2021 Biomimetics  
We examine the prospect for employing a bio-inspired architecture for a lunar industrial ecology based on genetic regulatory networks.  ...  There are numerous subtleties that would be challenging to implement in a lunar industrial ecology but much of the essence of biological circuitry (as implemented in synthetic biology, for example) is  ...  Swarms of multiple agents with simple local behaviours can generate complex behaviours with multi-robot coordination.  ... 
doi:10.3390/biomimetics6030050 fatcat:yglsxb2mzzc75bbiqlx2rlzkha

A Hierarchical Gene Regulatory Network for Adaptive Multirobot Pattern Formation

Yaochu Jin, Hongliang Guo, Yan Meng
2012 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
Most existing multi-robot systems for pattern formation rely on a predefined pattern, which is impractical for dynamic environments where the pattern to be formed should be able to change as the environment  ...  An evolutionary algorithm is adopted to evolve the parameters of the GRN subnetwork in layer 1 for optimizing the generated pattern.  ...  The authors would like to thank Xinglong Ju for implementing the algorithms on the e-puck robots.  ... 
doi:10.1109/tsmcb.2011.2178021 pmid:22311864 fatcat:7kl4mf2twjferawhypcwmivo2m

Constructing living buildings: a review of relevant technologies for a novel application of biohybrid robotics

Mary Katherine Heinrich, Sebastian von Mammen, Daniel Nicolas Hofstadler, Mostafa Wahby, Payam Zahadat, Tomasz Skrzypczak, Mohammad Divband Soorati, Rafał Krela, Wojciech Kwiatkowski, Thomas Schmickl, Phil Ayres, Kasper Stoy (+1 others)
2019 Journal of the Royal Society Interface  
Biohybrid robotics takes an engineering approach to the expansion and exploitation of biological behaviours for application to automated tasks.  ...  Here, we identify the construction of living buildings and infrastructure as a high-potential application domain for biohybrid robotics, and review technological advances relevant to its future development  ...  In the approach of [91] , the symbols of the L-system are agents of different types and their interactions and dynamics are defined by a swarm grammar.  ... 
doi:10.1098/rsif.2019.0238 pmid:31362616 pmcid:PMC6685033 fatcat:vxp4r5td3fcwfgmgqcaylkhtoy

Evolutionary Robotics: Exploring New Horizons [chapter]

Stéphane Doncieux, Jean-Baptiste Mouret, Nicolas Bredeche, Vincent Padois
2011 Studies in Computational Intelligence  
which may benefit the designer as an efficient tool to build robotic systems (c) ER for online adaptation, i.e. continuous adaptation to changing environment or robot features and (d) automatic synthesis  ...  A section is devoted to a roboticist's point of view and the last section discusses the current status of the field and makes some suggestions to increase its maturity.  ...  Such an approach was followed by Hauert et al. [47] to evolve decentralized controllers for swarms of unmanned aerial vehicles (UAV).  ... 
doi:10.1007/978-3-642-18272-3_1 fatcat:lanytjgog5fgjipt4yn76rsgqq

Perspectives on Cognitive Informatics and Cognitive Computing

Yingxu Wang, George Baciu, Yiyu Yao, Witold Kinsner, Keith Chan, Bo Zhang, Stuart Hameroff, Ning Zhong, Chu-Ren Hunag, Ben Goertzel, Duoqian Miao, Kenji Sugawara (+4 others)
2010 International Journal of Cognitive Informatics and Natural Intelligence  
tasks but also communication with other agents, and to create new ideas, CI may not only rely on the reductionist approach of describing nature.  ...  A Nobel laureate physicist, Stephen Weinberg said "All explanatory arrows point downward, from societies to people, to organs, to cells, to biochemistry, to chemistry, and ultimately to physics."  ...  He is currently head of Knowledge Information Systems Laboratory, and a professor in Department of Life Science and Informatics at Maebashi Institute of Technology, Japan.  ... 
doi:10.4018/jcini.2010010101 fatcat:zx37bo5m35hbveyln5gcol6p74

Applications and Challenges of Artificial Intelligence in Space Missions

Paul A. Oche, Gideon A. Ewa, Nwanneka Ibekwe
2021 IEEE Access  
These limitations have necessitated the need to have a concise survey with a wider scope for those interested in the applications and challenges of AI in the space industry, especially those with technical  ...  However, a large number of surveys on the applications of AI in space missions can be classified into two categories.  ...  For example, satellite A and Satellite B in a satellite swarm can use a code to authenticate a satellite's membership in the swarm.  ... 
doi:10.1109/access.2021.3132500 fatcat:2n5el5dcqzgdtc3brca5xwxrfu
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