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No Sex or Age Difference in Dead-Reckoning Ability among Tsimane Forager-Horticulturalists
2015
Human Nature
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Here we examine sex-and age-based variation in one kind of spatial ability related to navigation, dead-reckoning, among Tsimane forager horticulturalists living in lowland Bolivia. ...
Seventy-three participants (38 male) aged 6-82 years pointed a handheld global positioning system (GPS) unit toward the two nearest communities and the more distant market town. ...
There are a number of hypotheses regarding the evolutionary bases of male-biased spatial ability. ...
doi:10.1007/s12110-015-9246-3
pmid:26590826
fatcat:dsrwyixoqbecfipw5hybaedi4e
Innate and adaptive immune responses to dead and dying cells
2012
Arthritis Research & Therapy
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Our BCL2 transgenic mouse with accumulated dead osteocytes is a useful model to analyze the function of osteocytes, because a repair process, which replaces dead osteocytes with new osteocytes by bone ...
The paradigms regarding the role of bone lesions in arthritic diseases raise a number of important questions. ...
The symptoms of rheumatoid arthritis (RA) are based on the many processes; chronic inflammation, overgrowth of synovial cells, bone and joint destruction and fibrosis. ...
doi:10.1186/ar3587
pmcid:PMC3332476
fatcat:dugkoi4sinhxxiithdzvhi3bwi
Rise of the API Copyright Dead?: An Updated Epitaph for Copyright Protection of Network and Functional Features of Computer Software
2017
Social Science Research Network
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Historical and industry studies of the innovation process find that inventions are highly interdependent: "Technologies ... undergo a gradual, evolutionary development which is intimately bound up with ...
The lower resolution, functionality and memory associated with alternative devices make the use of our products and setVices through such devices difficult. ...
Google's Case Eric Schmidt discusses Sun's encouragement of Java adoption as well as his understanding that Google was free to use the Java APis without a license. ...
doi:10.2139/ssrn.2893192
fatcat:c5kjk2f4zfbdbft5rnnklj62hu
Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT
[article]
2019
arXiv
pre-print
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We extend NEAT to include Gated Recurrent Units (GRUs) to help deal with long term dependencies. ...
Bug algorithms are an alternative that use relatively little processing power, and avoid high memory consumption by not building an explicit map of the environment. ...
Extending HyperNEAT to include connections that are modified online [34, 35] generates networks that can solve the continuous T-maze domain by instilling them with memory. ...
arXiv:1904.06239v1
fatcat:fgu747rmp5d65no442flspm3hu
On the Origin of Yet another Channel
[chapter]
2013
Lecture Notes in Computer Science
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We tested this approach on candidate algorithms for SHA-3 and eStream competitions with comparable (but slightly worse) results as STS NIST and Diehard tests w.r.t. the number of rounds of the inspected ...
We propose more open approach based on combination of software circuits and evolutionary algorithms to search for unwanted statistical properties like next bit predictability or random data non-distinguishability ...
We use the last approach and combine a software circuit evaluated on a CPU (or also on GPUs) with evolutionary algorithms (EAs). ...
doi:10.1007/978-3-642-41717-7_26
fatcat:uwwfy3fmxbaivl2k7d3el7lsbm
RETRACTED: A Rule Based Evolutionary Algorithm for Intelligent Decision Support
2017
Open Journal of Optimization
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Genetic or evolutionary search algorithms seek and exploit the structure of a problem by operating on an encoding which represents the problem variables. ...
In order to speed up the solution process as well as produce a more refined solution, a rule based encoding is proposed. ...
If the current strategy was viewed as the chromosome of a genetic algorithm, this approach could be considered a rule based evolutionary approach. ...
doi:10.4236/ojop.2017.62005
fatcat:47avk2ej4ncblkquskuqvjllgy
Beyond black-box optimization: a review of selective pressures for evolutionary robotics
2014
Evolutionary Intelligence
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Evolutionary robotics is often viewed as the application of a family of black-box optimization algorithms -evolutionary algorithms -to the design of robots, or parts of robots. ...
The present review shows that, because evolutionary robotics experiments share common features, selective pressures for evolutionary robotics are a subject of research on their own. ...
Combining novelty and objective-based search Novelty search can be combined with objective-based search thanks to multiobjective evolutionary algorithms: one objective is the traditional fitness function ...
doi:10.1007/s12065-014-0110-x
fatcat:zev64dia3vcszgefpujd4xxgzi
Applications and Evaluations of Bio-Inspired approaches in Cloud Security: A Review
2020
IEEE Access
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Among those, bio-inspired algorithms such as Evolutionary, Swarm, Immune, and Neural algorithms are the most prominent ones which are developed based on nature's ecosystems. ...
Cloud computing gained much popularity in the recent past due to its many internet-based services related to data, application, operating system, and eliminating the need for central hardware access. ...
algorithms in ID systems; [79] presents a case study to tailor the bio-inspired algorithm for ID. ...
doi:10.1109/access.2020.3027841
fatcat:f4ufhhyuivfinjraxe2whjdo4a
Graphics processing units and genetic programming: an overview
2011
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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In particular we survey genetic programming (GP) use with GPU. We give several applications from Bioinformatics and show how the fastest GP is based on an interpreter rather than compilation. ...
A top end graphics card (GPU) plus a suitable SIMD interpreter, can deliver a several hundred fold speed up, yet cost less than the computer holding it. ...
Acknowledgements Work started in Memorial University, Newfoundland (with Wolfgang Banzhaf) and continued at Essex University and King's College, London prior to UCL. ...
doi:10.1007/s00500-011-0695-2
fatcat:bx4bbbcbmzg7riumnaznbldaz4
Binary Particle Swarm Optimization Algorithm for Kidney Exchanges Acceleration using Parallel MATLAB
2021
Zenodo
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The obtained results indicate that binary PSO outperforms other stochastic-based methods such as genetic algorithm, ant lion optimization, and efficient the number of resulting exchanges. ...
Further, we implementing binary particle swarm optimization in parallel with MATLAB with one, two, three and four threads and from the computations point of view, the authors compare the performance to ...
Kidney Exchange with a Two-Way Pair Cycle Based
Figure. 2. ...
doi:10.5281/zenodo.4762451
fatcat:fckgtuokrngy3jrpizysfzbgya
GEVO: GPU Code Optimization using Evolutionary Computation
[article]
2020
arXiv
pre-print
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GEVO (Gpu optimization using EVOlutionary computation) is a tool for automatically discovering optimization opportunities and tuning the performance of GPU kernels in the LLVM representation. ...
For the machine learning workloads, GEVO achieves kernel performance improvement for SVM on the MNIST handwriting recognition (3.24X) and the a9a income prediction (2.93X) datasets with no loss of model ...
Schulte, and the reviewers for many insights, code and helpful comments. ...
arXiv:2004.08140v2
fatcat:rtn27juoondpjkg6b3ddtgzr34
Structural and Functional Sequence Test of Dynamic and State-Based Software with Evolutionary Algorithms
[chapter]
2003
Lecture Notes in Computer Science
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Test case (sequence) and different execution paths for the inputs; On the right hand side an example memory model is shown, where each step results in a state change ...
Especially, control software which is responsible for controlling and constraining a system cannot be tested successfully with ET. ...
Overview of Evolutionary Testing (ET) Evolutionary algorithms (EA) have been used to search for data for a wide range of applications. ...
doi:10.1007/3-540-45110-2_147
fatcat:xqvhjth5djhzjkeywnycumec4e
Evolutionary control of an autonomous field
2000
Proceedings of the Third International Conference on Information Fusion
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The control law to be developed is based on a stochastic optimization technique known as evolutionary programming. ...
As detections occur in the field, detections are transmitted acoustically to a master node. Both detection processing and acoustic communication drain a nodes power source. ...
The control law to be developed is based on a stochastic optimization technique known as evolutionary programming. ...
doi:10.1109/ific.2000.862490
fatcat:ychqtk5p2be4rdnbmlr66abwju
Breeding hybrid strategies: optimal behaviour for oligopolists
1992
Journal of evolutionary economics
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The paper concludes with a discussion of the relationship between Selten's trembling-hand perfect equilibrium and Maynard Smith's evolutionarily stable strategies, with practical simulations of successful ...
Holland's genetic algorithm and Axelrod's representation of contingent strategies provide a means of generating new strategies in the computer, through machine learning, without outside submissions. ...
In this case the bit string will be 8 bits long, plus 3 bits for the phantom memory. ...
doi:10.1007/bf01196459
fatcat:33biyx3gp5dwxi3kacgr4tqmv4
EvoDroid: segmented evolutionary testing of Android apps
2014
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering - FSE 2014
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algorithm that given information of such segments performs a stepwise search for test cases reaching deep into the code. ...
EvoDroid overcomes a key shortcoming of using evolutionary techniques for system testing, i.e., the inability to pass on genetic makeup of good individuals in the search. ...
ACKNOWLEDGMENTS We would like to thank Aravind Machiry and Mayur Naik at Georgia Tech for helping us with the setup of Dynodroid. ...
doi:10.1145/2635868.2635896
dblp:conf/sigsoft/MahmoodMM14
fatcat:545zdcf2lnfgrh6d4iq4bx6lmq
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