Abstract In this study, wavelet support vector machine (WSWM) model is proposed for daily suspended sediment (SS) prediction. The WSVM model is achieved by combination of two methods; discrete wavelet analysis and support vector machine (SVM). The developed model was compared with single SVM. Daily discharge (Q) and SS data from Yadkin River at Yadkin College, NC station in the USA were used. I...

We describe a system, G2A, that produces ACT-R models from GOMS models containing hierarchical methods, visual and memory stores, and control constructs. Because GOMS is a more abstract formalism than ACT-R, a single GOMS operator might be plausibly translated in different ways into ACT-R productions (e.g., a GOMS Look-for operator might be carried out by different visual search strategies in A...

We describe SYLLOG, a model of syllogistic inference, built with in the ACT-R framework. Its construction was guided by data obtained from 88 subjects performing the syllogistic inference task. The model’s inference engine uses the PC inference rule Hypothetical Syllogism (HS) and a set of modal logic transformation rules either to create a representation of the premises that allows an appropri...

The paper presents an experiment on spatial planning in 2D maze-like environments in which participants had to build and execute on-line a plan to reach a target. The experiment manipulated three factors: type of instructions (two levels), number of obstacles in the mazes (four levels), and length of the minimum path to the target (three levels). The instructions were conceived to vary the impo...