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Cognitive Computing

Shama Firdous
2021 Zenodo  
Cognitive computing is the new wave of Artificial Intelligence (AI), relying on traditional techniques based on expert systems and also exploiting statistics and mathematical models.  ...  In particular, cognitive computing systems can be regarded as a "more human" artificial intelligence.  ...  As such, the technology is finding multiple applications in advertising where emotion analytics can be used to evaluate messaging, logistics where self-driving automobiles are being explored and physical  ... 
doi:10.5281/zenodo.4730212 fatcat:olaqjxvqb5hdpmtnl3emaazdrq

Potential of Cognitive Computing and Cognitive Systems

Ahmed K. Noor
2014 Open Engineering  
The continuously expanding major components of the ecosystem include integrated knowledge discovery and exploitation facilities (incorporating predictive and prescriptive big data analytics); novel cognitive  ...  This paper gives a brief review of cognitive computing and some of the cognitive engineering systems activities.  ...  The third era is the cognitive computing era, where computing technology represented an intersection between neuroscience, supercomputing and nanotechnology.  ... 
doi:10.1515/eng-2015-0008 fatcat:oj36zmkwabhftn6iawbvzseqje

Cognitive computational neuroscience [article]

Nikolaus Kriegeskorte, Pamela K. Douglas
2018 arXiv   pre-print
To learn how cognition is implemented in the brain, we must build computational models that can perform cognitive tasks, and test such models with brain and behavioral experiments.  ...  Computational models that mimic brain information processing during perceptual, cognitive, and control tasks are beginning to be developed and tested with brain and behavioral data.  ...  Acknowledgements This paper benefited from discussions in the context of the new conference Cognitive Computational Neuroscience, which had its inaugural meeting in New York City in September 2017. 194  ... 
arXiv:1807.11819v1 fatcat:pzzyqaj4qraslnku243fhyqanu

Strong Cognitive Symbiosis: Cognitive Computing for Humans

Csaba Veres
2017 Big Data and Cognitive Computing  
An alternative interpretation of cognitive computing is presented, following Licklider's lead in adopting "man-computer symbiosis" as a metaphor for designing software systems that enhance human cognitive  ...  We conclude that strong symbiosis presents a viable new perspective for the design of cognitive computing systems.  ...  The use of computing devices to enhance human cognitive behaviors is of course a central theme of modern computing.  ... 
doi:10.3390/bdcc1010006 fatcat:u3snsalujvf5fgyinzjxwl5c6a

Teaching Computer Programming Through Hands-on Labs on Cognitive Computing

Mauro Coccoli, Paolo Maresca, Lidia Stanganelli
2016 Proceedings of the 22nd International Conference on Distributed Multimedia Systems  
In the present release, such evolutionary path has led to using the IBM Bluemix platform with its wide range of components, including Watson that is devoted to cognitive computing.  ...  This made possible to perform a set of cooperative learning activities that we used to demonstrate practically some theoretical concepts, also stressing the use of cognitive computing tools, which introduce  ...  Moreover, cognitive computing is a very challenging item in the software development scenario since it allows developing applications that manage big data, enables performing analytics on data in order  ... 
doi:10.18293/dms2016-023 dblp:conf/dms/MarescaSC16 fatcat:kbrpepuqkjcffdjtkdmtazmjdu

Computational cognitive epigenetics

Aaron Sloman, Jackie Chappell
2007 Behavioral and Brain Sciences  
This is particularly true for understanding the evolution of human behavior, where all four dimensions of heredity have been important.  ...  These data show that the genome is far more responsive to the environment than previously thought, and that not all transmissible variation is underlain by genetic differences.  ...  and an operating system, using the primitive machine instructions that the computer can perform.  ... 
doi:10.1017/s0140525x07002336 fatcat:xa6gxn6w6jccxec7k7enr3n7zq

Motivational Representations within a Computational Cognitive Architecture

Ron Sun
2009 Cognitive Computation  
This paper discusses essential motivational representations necessary for a comprehensive computational cognitive architecture.  ...  This work represents a step forward in making computational cognitive architectures better reflections of the human mind and all its motivational complexity and intricacy.  ...  The differences among these frameworks may be adjudicated through empirical and theoretical means, in particular, through capturing, simulating, and explaining empirical data using computational models  ... 
doi:10.1007/s12559-009-9005-z fatcat:ep2tl4jdfbf7napbm6piz3xoqm

Computational intelligent brain computer interaction and its applications on driving cognition

Chin-Ten Lin, Li-Wei Ko, Tzu-Kuei Shen
2009 IEEE Computational Intelligence Magazine  
and integrate with computational intelligence technologies for augmenting driving performance will become a big challenge in the interdisciplinary research area.  ...  The implications of the driving cognition in cognitive neuroscience and computational intelligence for daily applications are also demonstrated through two common attention-related driving studies: (1)  ...  The ICA assumes a data model X1 t2 5 AS 1 t2 , where A is an n 3 n mixing matrix.  ... 
doi:10.1109/mci.2009.934559 fatcat:ilrufdbvbzawdl3qo5cw3oyrru

Computation in networks

James K Peterson
2015 Computational Cognitive Science  
One example is the nodes are excitable neurons which are collected into a nervous system for an animal whether invertebrate or vertebrate.  ...  We start with a discussion of low level biophysical concepts such as the cable equation and the Hodgkin -Huxley model and end with graph based models of computation.  ...  on Computational Cognitive Science in the Springer Cognitive Science and Technology Series, in press).  ... 
doi:10.1186/s40469-015-0003-z fatcat:waqviodh7vfojfgrvtyrvqeca4

Cognitive Modeling [chapter]

Eric Chown
2014 Computing Handbook, Third Edition  
Further, these constraints can be used to drive cognitive theory as with the PLAN model of human cognitive mapping [Chown, et al. 1995] .  ...  A core belief of most cognitive scientists is that cognition is a form of computation (otherwise, computer modeling is a doomed enterprise) and the study of computation has long been a source of ideas  ... 
doi:10.1201/b16812-49 fatcat:ylysvqjmnbhgdmbntc4blblc2y

Human Abductive Cognition Vindicated Computational Locked Strategies, Dissipative Brains, and Eco-Cognitive Openness

Lorenzo Magnani
2022 Philosophies  
In the brain, contrary to the computational case, ordering is not derived from the outside thanks to what I have called in a recent book "computational domestication of ignorant entities", but it is the  ...  insofar as they are constrained in what I call eco-cognitive openness.  ...  Cognitive Domestication of Ignorant Entities, Springer, Cham, Switzerland, 2022.  ... 
doi:10.3390/philosophies7010015 fatcat:egpkyb6zfvdfrg4utn6v2j2kae

Computational Creativity

Rania A. Hodhod, Brian S. Magerko
2014 International Journal of Cognitive Informatics and Natural Intelligence  
As the field continues to progress, we look forward to being the venue at which its work is showcased.  ...  Preface This first international conference celebrates the 10th anniversary of a series of events on computational creativity which began in 1999.  ...  This work is supported by EPSRC grants EP/F067127 and TS/G002835.  ... 
doi:10.4018/ijcini.2014040101 fatcat:t75r5mrudzckfm3cjskssgadma

Towards Sustainability in Portable Computing through Cloud Computing and Cognitive Radios

Vinod Namboodiri
2010 2010 39th International Conference on Parallel Processing Workshops  
software-defined cognitive radios.  ...  It is imperative to consider the concept of sustainable portable computing as the role of such devices increases our lives.  ...  This is cloud computing, where the album is stored in a data center online in a cloud and easily accessible from any location connected to the Internet.  ... 
doi:10.1109/icppw.2010.69 dblp:conf/icppw/Namboodiri10 fatcat:h5idber3zbeknmcowxz52mho7i

Taxonomy for Humans or Computers? Cognitive Pragmatics for Big Data

Beckett Sterner, Nico M. Franz
2017 Biological Theory  
Abstract Criticism of big data has focused on showing that more is not necessarily better, in the sense that data may lose their value when taken out of context and aggregated together.  ...  1 We use "data aggregation" to refer to merging multiple sets of data of the same kind (e.g., multiple collections of specimens or multiple runs of the same experiment) as distinct from "data integration  ...  Support of the authors' research through the National Science Foundation is kindly acknowledged (NMF: DEB-1155984, DBI-1342595; BS: SES-1153114).  ... 
doi:10.1007/s13752-017-0259-5 fatcat:fzabyk3s3jf35ktvjjzelxju4m

Linking brain structure, activity and cognitive function through computation

Katrin Amunts, Javier DeFelipe, Cyriel Pennartz, Alain Destexhe, Michele Migliore, Philippe Ryvlin, Steve Furber, Alois Knoll, Lise Bitsch, Jan G. Bjaalie, Yannis Ioannidis, Thomas Lippert (+3 others)
2022 eNeuro  
The novel HBP-style neuroscience is characterized by transparent domain boundaries and deep integration of highly heterogeneous data, models, and information technologies.  ...  This integrated approach to neuroscientific discovery is framed within the BigBrain, which spatially anchors tissue models and data across different spatial scales and assures that multiscale models are  ...  Degeneracy in neuroscience, when is Big Data big enough? Brains are maintaining full functionality within a range of normal variability.  ... 
doi:10.1523/eneuro.0316-21.2022 pmid:35217544 pmcid:PMC8925650 fatcat:k7obyuqb5vcenossdwrlcbg4eu
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