In this paper we name some of the advantages of virtual laboratories; and propose that a Behaviours Virtual Laboratory should be useful for both biologists and AI researchers, offering a new perspective for understanding adaptive behaviour. We present our development of a Behaviours Virtual Laboratory, which at this stage is focused in action selection, and show some experiments to illustrate t...

Adaptation is a central concept of modern evolutionary biology, but remains a difficult one nevertheless. Definitions of adaptation are often confounded with definitions of natural selection, rendering them somewhat circular and difficult to operationalize. Williams introduced a definition that avoids such tautology and a strategy for testing adaptive claims against chance as an alternative exp...

The gaining returns in line with risks is always a major concern for market play-ers. This study compared the selection of stock portfolios based on the strategy of buying and retaining winning stocks and the purchase strategy based on the level of investment risks. In this study, the two-step optimization algorithms NSGA-II and SPEA-II were used to optimize the stock portfolios. In order to de...

Multi-focus portable plenoptic camera devices provide a reasonable tradeoff between spatial and angular resolution while enlarging the depth of field of a standard camera. Many applications using the data captured by these camera devices require or benefit from correspondences established between the single microlens images. In this work we propose a lens-based depth estimation scheme based on ...

in this study, a prediction model based on support vector machines (svm) improved by introducing a volume weighted penalty function to the model was introduced to increase the accuracy of forecasting short term trends on the stock market to develop the optimal trading strategy. along with vw-svm classifier, a hybrid feature selection method was used that consisted of f-score as the filter part ...

The paper provides a basic introduction to the scheduling and control of production systems using a hierarchical structure of a decision making (DM). A DM process created on the MAS basis may consider an intelligent and adaptive agent on the higher level and an autonomous agent in the lower level of the DM according to the system requirements. An example for the optimal or near optimal selectio...

We consider the numerical solution of two-point boundary value problem by collocation method using cubic spline. We derive asymptotic expansions of the errors which are a posteriori determined with little additional computation. The applications of these asymtotic expansions to a posteriori improvement of the approximate solution and adaptive mesh selection strategy (chopping procedure) are dis...

A strategy for filtering (or denoising) of high-pass signals embedded in an impulse (heavy tail) noise environments based on the robust DFT forms has been proposed recently. In this paper we investigate various approaches for design of the robust DFT used in this application. We consider the DFT estimates based on the: linear combination of order statistics (L-estimate), myriad, and Wilcoxon es...

We describe a general framework for online adaptation of optimization hyperparameters by ‘hot swapping’ their values during learning. We investigate this approach in the context of adaptive learning rate selection using an explore-exploit strategy from the multi-armed bandit literature. Experiments on a benchmark neural network show that the hot swapping approach leads to consistently better so...

The particle filter (PF) is a novel technique that has sufficiently good estimation results for the nonlinear/non-Gaussian systems. However, PF is inconsistent that caused mainly by loss of particle diversity in resampling step and unknown a priori knowledge of the noise statistics. This paper introduces a new modified particle filter called adaptive unscented particle filter (AUPF) to overcome th...