Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Huyck, Christian"'
Autor:
Rosenbloom, Paul S., Laird, John E., Lebiere, Christian, Stocco, Andrea, Granger, Richard H., Huyck, Christian
Cognition and emotion must be partnered in any complete model of a humanlike mind. This article proposes an extension to the Common Model of Cognition -- a developing consensus concerning what is required in such a mind -- for emotion that includes a
Externí odkaz:
http://arxiv.org/abs/2412.16231
Almost all optimization algorithms have algorithm-dependent parameters, and the setting of such parameter values can significantly influence the behavior of the algorithm under consideration. Thus, proper parameter tuning should be carried out to ens
Externí odkaz:
http://arxiv.org/abs/2407.02537
Almost all optimization algorithms have algorithm-dependent parameters, and the setting of such parameter values can largely influence the behaviour of the algorithm under consideration. Thus, proper parameter tuning should be carried out to ensure t
Externí odkaz:
http://arxiv.org/abs/2308.15965
A bump attractor network is a model that implements a competitive neuronal process emerging from a spike pattern related to an input source. Since the bump network could behave in many ways, this paper explores some critical limits of the parameter s
Externí odkaz:
http://arxiv.org/abs/2003.13365
Publikováno v:
X.-S. Yang et al., Int. J. Bio-Inspired Computation, vol. 5, no. 6, pp. 329-335 (2013)
The pressure vessel design problem is a well-known design benchmark for validating bio-inspired optimization algorithms. However, its global optimality is not clear and there has been no mathematical proof put forward. In this paper, a detailed mathe
Externí odkaz:
http://arxiv.org/abs/1403.7793
Akademický článek
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Publikováno v:
In Procedia Computer Science 2016 88:198-204
Publikováno v:
In Biologically Inspired Cognitive Architectures April 2015 12:9-19
Publikováno v:
In Procedia Computer Science 2014 41:75-82