Study of Dynamic Decision Making (DDM) has been devoted to understanding the behaviors of decision makers facing dynamic decision making tasks. DDM involves decision tasks embedded in complex systems, the structure of which is not fully known to the decision makers. Previous DDM research mainly took an experimental approach, attempting to explain how people make dynamic decisions and how to imp...

Dynamic decision-making (DDM) research grew out of a perceived need for understanding how people control dynamic, complex, real-world systems. DDM has describable characteristics and, with some unavoidable sacrifice of realism, is suitable for study in a laboratory setting through the use of complex computer simulations commonly called ‘microworlds’. This paper presents a taxonomic definition o...

A rcccntly published semi-implicit Rung+Kulta algorithm has been extended to compute parameter sensitivities in dynamical systems. The decomposed direct method (DDM) of sensitivity analysis results in a general and compact FORTRAN program, well-suited even for small computers. The straightforward DDM provides more accurate sensitivities than does the numerically efficient, but more involved Gre...

The interface between two wedges can be treated as a displacement discontinuity characterized by elastic stiffnesses. By representing the boundary between the two quarter-spaces as a displacement discontinuity, coupled wedge waves were determined theoretically to be dispersive and to depend on the specific stiffness of the non-welded contact between the two wedges. Laboratory experiments on iso...

Objective: Two-alternative forced-choice tasks are widely used to gain insight into specific areas of enhancement or impairment in individuals with autism spectrum disorder (ASD). Data arising from these tasks have been used to support myriad theories regarding the integrity, or otherwise, of particular brain areas or cognitive processes in ASD. The drift diffusion model (DDM) provides an accou...

Previous work developed to predict the outcome of patients in the context of intensive care units brought to the light some requirements like the need to deal with distributed data sources. Those data sources can be used to induce local prediction models, and those models can in turn be used to induce global models more accurate and more general than the local models. This chapter introduces a ...

A study is made of the generation of SH-type wves at the free surface of a layered anlsotroplc elastic medium due to an impulsive stress discontinuity moving with uniform velocity along the interface of the layered medium. The exact solution for the displacement function is obtained by the Laplace and Fourier transforms combined with the modified Cagnlard method. The numerical results for an im...

Multiple-participant (MP) dynamic decision making (DDM) is encountered both in societal and technical systems. Unlike in single-participant (SP) DDM, no commonly accepted normative theory exists. The paper contributes to numerous attempts to overcome this state by classifying possible MP scenarios and connecting them with the normative SP DDM. This classification helps us to formulate open prob...

Full waveform inversion (FWI) has been regarded as an effective tool to build the velocity model for the following pre-stack depth migration. Traditional inversion methods are built on Born approximation and are initial model dependent, while this problem can be avoided by introducing Transmission matrix (T-matrix), because the T-matrix includes all orders of scattering effects. The T-matrix ca...