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Social biases determine spatiotemporal sparseness of ciliate mating heuristics

Kevin B. Clark
2012 Communicative & Integrative Biology  
Heuristics embody serial patterns of socially relevant action that evolve into ordered, topologically invariant computational networks supporting intra-and intermate selection.  ...  In earlier studies, I demonstrated the heterotrich Spirostomum ambiguum improves mating competence by effecting preconjugal strategies and inferences in mock social trials via behavioral heuristics built  ...  Heuristics evolved via classical Maxwell-Boltzmann, quantum Bose-Einstein and quantum Fermi-Dirac statistics into topologically invariant computational networks useful for signaling mating propaganda and  ... 
doi:10.4161/cib.18337 pmid:22482001 pmcid:PMC3291309 fatcat:ssxvigspbbfgnptn3we7dwcgnm

2020 Index IEEE/ACM Transactions on Computational Biology and Bioinformatics Vol. 17

2021 IEEE/ACM Transactions on Computational Biology & Bioinformatics  
., +, TCBB March-April 2020 704-711 Pancreas Data-Driven Robust Control for a Closed-Loop Artificial Pancreas. 1981 -1993  ...  Sun, Y., +, TCBB July-Aug. 2020 1253-1261 Inverse Projection Representation and Category Contribution Rate for Robust Tumor Recognition.  ...  ., and Wu, W., Inverse Projection Representation and Category Contribution Rate for Robust Tumor Recognition; TCBB July-Aug. 2020 1262-1275 Yang, X., see 2148 -2154 Yang, Z., see Liu, X., 1329 -1340  ... 
doi:10.1109/tcbb.2020.3047571 fatcat:x3kmrpexsve6bnjtd3dh6ntkyy

Cognitive architectures and autonomy: Commentary and Response

2012 Journal of Artificial General Intelligence  
Acknowledgements Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S.  ...  Embodiment refers to the kind of development and causal processes engaged between the agent, its body, and its external environment.  ...  A winner-take-all competition between resonated neural representations ensures that the object representation and spatial representation that reached resonance first will continue fastest processing first  ... 
doi:10.2478/v10229-011-0016-2 fatcat:yfgktcg3qbc25amjt5kfhllvk4

The Roles and Modes of Human Interactions with Automated Machine Learning Systems [article]

Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys
2022 arXiv   pre-print
In so doing, we review topics including user-interface design, human-bias mitigation, and trust in artificial intelligence (AI).  ...  risks presented by ever-increasing levels of machine autonomy.  ...  These may appear in the form of sensitive attributes with associated causal impacts and may also manifest via the under-representation or over-representation of certain groups [212] , e.g. in features  ... 
arXiv:2205.04139v1 fatcat:kfo3oybsjvfs5gjyt2j3dbaali

A survey of automatic control methods for liquid-propellant rocket engines

Sergio Pérez-Roca, Julien Marzat, Hélène Piet-Lahanier, Nicolas Langlois, François Farago, Marco Galeotta, Serge Le Gonidec
2019 Progress in Aerospace Sciences  
Other more sophisticated approaches present in the literature, incorporating some nonlinear, hybrid or robust techniques, improve certain aspects of performance and robustness.  ...  This goal is attained via the adjustment of flow-control valves while complying with operating constraints.  ...  Acknowledgements The authors would like to thank ArianeGroup SAS and Centre National d'Etudes Spatiales (CNES) for the funding.  ... 
doi:10.1016/j.paerosci.2019.03.002 fatcat:z7vfw72avzgchnyeyizgkpms3m

Systems Challenges for Trustworthy Embodied Systems [article]

Harald Rueß
2022 arXiv   pre-print
We are therefore identifying a number of urgent systems challenges for trustworthy embodied systems, including robust and human-centric AI, cognitive architectures, uncertainty quantification, trustworthy  ...  self-integration, and continual analysis and assurance.  ...  Robust Artificial Intelligence/Machine Learning ML techniques are ubiquitous and have many successful applications.  ... 
arXiv:2201.03413v2 fatcat:hwprg3zjhvfuro3etecx2t4qua

Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2016 Budget Estimates

Department Of Defense Comptroller's Office
2015 Zenodo  
The Defense Advanced Research Projects Agency (DARPA) FY2016 amounted to $2.868 billion in the President's request to support high-risk, high-reward research.  ...  To accomplish this, DEFT will develop and apply formal representations for basic facts, spatial, temporal, and associative relationships, causal and process knowledge, textually entailed information, and  ...  FY 2014 Accomplishments: -Formulated initial causal-model-based automated computational intelligence techniques applicable to cancer modeling.  ... 
doi:10.5281/zenodo.1215366 fatcat:cqn5tyfixjanzp5x3tgfkpedri

Artificial Intelligence and Robotics [article]

Javier Andreu Perez, Fani Deligianni, Daniele Ravi, Guang-Zhong Yang
2018 arXiv   pre-print
and future directions.  ...  Robotics and AI amplify human potentials, increase productivity and are moving from simple reasoning towards human-like cognitive abilities.  ...  The Scale-invariant feature transform (SIFT) extracts features that are invariant to scale, rotation and translation transformations and robust to illumination variations and moderate perspective transformations  ... 
arXiv:1803.10813v1 fatcat:p2czbmak4jcyxbtncqfqlkxtma

Managing Systemic Risk in Legal Systems

J. B. Ruhl
2013 Social Science Research Network  
There is no way around the RYF dilemma-some degree of systemic risk is inherent in any complex adaptive system-but the balance between robustness and fragility is something we can hope to influence.  ...  The American legal system has proven remarkably robust even in the face of vast and often tumultuous political, social, economic, and technological change.  ...  Rather, this kind of system is built around the assumption of inherent systemic risk and is designed to be on the watch for it and spring into action when signs of danger surface.  ... 
doi:10.2139/ssrn.2212212 fatcat:qnh2pzpi7zh6tjyrcd5ee2ua2e

Multiagent-Based Simulation in Biology [chapter]

Francesco Amigoni, Viola Schiaffonati
2007 Studies in Computational Intelligence  
The model is grounded on a representational framework that integrates ontological and causal knowledge about chemical compounds and compound transformations.  ...  , via the logical workings of abductive inference ending with applications pertinent to scientific explanation, empirical progress, pragmatism and belief revision.  ...  and socio-psychological representations.  ... 
doi:10.1007/978-3-540-71986-1_10 fatcat:truqtavqmzdtxfygthvyjdb46y

Brain Connectivity Analysis: A Short Survey

E. W. Lang, A. M. Tomé, I. R. Keck, J. M. Górriz-Sáez, C. G. Puntonet
2012 Computational Intelligence and Neuroscience  
Graphical models represent a convenient vehicle to formalize experimental findings and to closely and quantitatively characterize the various networks identified.  ...  It encompasses all forms of static and dynamic connectivity whether anatomical, functional, or effective.  ...  Acknowledgments Support by the DAAD-FCT, the BFHZ-CCUFB, and the GENIL-SPR project at CITIC-UGR is gratefully acknowledged.  ... 
doi:10.1155/2012/412512 pmid:23097663 pmcid:PMC3477528 fatcat:zlwqwx6n7feefdrfx5pnhhbmhe

Busting Out: Predictive Brains, Embodied Minds, and the Puzzle of the Evidentiary Veil

Andy Clark
2016 Noûs  
causal structure in its local environment" p. 89).  ...  means of which the intelligent agent deals with her (wider) world.  ... 
doi:10.1111/nous.12140 fatcat:utvdn7kbozfpnarnzhz2zm2cum

Turning the Hunted into the Hunter via Threat Hunting: Life Cycle, Ecosystem, Challenges and the Great Promise of AI [article]

Caroline Hillier
2022 arXiv   pre-print
This paper is a collection of recent work that gives a holistic view of the threat hunting ecosystem, identifies challenges, and discusses the future with the integration of artificial intelligence (AI  ...  We specifically establish a life cycle and ecosystem for privacy-threat hunting in addition to identifying the related challenges. We also discovered how critical the use of AI is in threat hunting.  ...  The authors of [67] explained that US Navy with the help of Stottler Henke extends and improves enhance the Intelligent Surface Threat Identification System (ISTIS).  ... 
arXiv:2204.11076v1 fatcat:jc3bghaiungxxlta5itgjnla2a

A Hierarchy of Limitations in Machine Learning [article]

Momin M. Malik
2020 arXiv   pre-print
Machine learning modelers themselves can use the described hierarchy to identify possible failure points and think through how to address them, and consumers of machine learning models can know what to  ...  question when confronted with the decision about if, where, and how to apply machine learning.  ...  Any errors, unfair generalizations and characterizations, or flawed reasonings are my own.  ... 
arXiv:2002.05193v2 fatcat:fvifdfaoefgurhbga5d74pb7ca

Integrated building performance simulation: Progress, prospects and requirements

J.A. Clarke, J.L.M. Hensen
2015 Building and Environment  
2015) Integrated building performance simulation : progress, prospects and requirements. Building and Environment, 91. pp. 294-306. ISSN 0360-1323 , http://dx.  ...  It characterises achievements to date in a non-program-specific manner and in relation to the ultimate goal of providing practitioners with the means to appraise, accurately and rapidly, the multi-variate  ...  remains essential and stimulating.  ... 
doi:10.1016/j.buildenv.2015.04.002 fatcat:fja3iob7trdzdozwa7twqogue4
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