Santoro A, Lampinen A, Mathewson K, Lillicrap T, Raposo D (2021) Symbolic behaviour in artificial intelligence. arXiv preprintarXiv:2102.03406 Ebrahimi M, Eberhart A, Bianchi F, Hitzler P (2021) Towards bridging the neuro-symbolic gap: deep deductive reasoners. Appl Intell 51:6326–6348 Go...
Emotional cognition : from brain to behaviour Emotional Cognition gives the reader an up to date overview of the current state of emotion and cognition research that is striving for computationally exp... SC Moore - 《Advances in Consciousness Research》 被引量: 34发表: 2002年 The Emergence of...
When this behaviour is detected, a TA that aims at shrinking the batch size’s search space is applied, to make sure larger values are selected in the next iterations. 3.5 Management of the learning rate For the correct management of the learning rate, we exploit the relation between the lo...
Visual Intelligence using Neural-Symbolic Learning and Reasoning H.L.H. (Leo) de Penning TNO Behaviour and Societal Sciences The DARPA Mind's Eye program seeks to develop in machines a capability that currently exists only in animals: visual intelligence. This short paper describes the initial ...
Neither deep neural networks nor symbolic artificial intelligence (AI) alone has approached the kind of intelligence expressed in humans. This is mainly because neural networks are not able to decompose joint representations to obtain distinct objects (t
In this paper, we present the use of symbolic regression for the black-box modelling of non-linear dynamic behaviour in the AC/DC rectifiers of radio-frequ... V Ceperic,N Bako,A Baric - 《Expert Systems with Applications》 被引量: 33发表: 2014年 Structural Identifiability of Generalized ...
The Bayesian optimization algorithm adopted here was used to obtain the best set of microparameters for generating a DEM model for which the results of numerical simulation most closely matched the mechanical behaviour of physical experiments. Bayesian optimization is widely used in the hyperparameter ...
Exemplary robotic implementations based on the psychologically inspired behaviour control architectures by Norman and Shallice were proposed by Gurney et al. =... K Gurney,A Hussain,J Chambers,... - Springer-Verlag 被引量: 17发表: 2009年 Autonomous learning in psychologically-oriented cognitive arch...
() Citation Context ...e the robot hardware during perception tasks, and in attention focusing. The perception-action link allows also reactive behaviours. Some of thesauthors already presented this architectural structure =-=[3,7,10]-=-. Its main goal is to go beyond the classical behaviour...
Bibliography, Practical/ artificial intelligenceexpert systemsfuzzy set theoryinference mechanisms/ certainty factor modelDempster Shafer theoryfuzzy set theorysymbolic approachesuncertainty managementAIintelligent behaviourDealing with uncertainty is part of most intelligent behaviour and therefore techniques for ...