The development of speech processing front-ends for the controlling of complex systems has received more and more interest during the last years. Usually this task is divided in two subtasks. The speech recogniser records the utterance and puts out a corresponding text, and the speech understanding module tries to extract an internal representation of the meaning of the utterance. As shown in F...

We present a computational model of a closed-loop, pilot–aircraft–visual scene–taxiway system created to shed light on possible sources of taxi error. The creation of the cognitive aspects of the model with ACT–R (Adaptive Control of Thought–Rational) required us to conduct studies with subject matter experts to identify the experiential adaptations pilots bring to taxiing. Five decision strate...

What does it mean to say that a physical network (such as a road network, electricity grid, or telephone network) is optimal? Different optimality criteria for different networks have been developed and studied. In the case of road networks connecting cities, an intuitive notion of an “optimal” network is one that provides the shortest routes between any two cities in the network while requirin...

This paper discusses a computational model of situation awareness (SA) for military command and control in complex battle situations. Cognitive modeling is a research method that does not forgive vagueness. How do military commanders create awareness in a highly complex and uncertain world? The model described in this paper simulates computationally some of the cognitive operations performed by...

Toxicity of 38 aliphatic carboxylic acids was studied using non-linear quantitative structure-toxicityrelationship (QSTR) models. The adaptive neuro-fuzzy inference system (ANFIS) was used to construct thenonlinear QSTR models in all stages of study. Two ANFIS models were developed based upon differentsubsets of descriptors. The first one used log ow K and LUMO E as inputs and had good predicti...

We revisit the implications of the R-invariant New Inflation model to the supersymmetric standard model in light of recent discussion of gravitino production processes by the decay of the inflaton or the supersymmetry breaking field. We show that the models with supergravity mediation do not go well with the R-invariant New Inflation model, where the gravitino abundance produced by the decay of...

Consider a Poisson process on R with intensity f where 0 ≤ f(x) <∞ for x ≥ 0 and f(x) = 0 for x < 0. The “points” of the process represent sleeping frogs. In addition, there is one active frog initially located at the origin. At time t = 0 this frog begins performing Brownian motion with leftward drift λ (i.e. its motion is a random process of the form Bt − λt). Any time an active frog arrives ...

Anderson and Lebiere’s (1998) modeling system ACT-R (Adaptive Control of Thought – Rational) has been a leading contributor to advances in cognitive science. Despite the modeling system’s success there are areas in which it may be improved. The present research advocates a suggested approach to improving ACT-R’s predictive capacity by using EEG (electroencephalography) latency data to predict t...

We show that the present experimental limits on electron-nucleon interactions that violate both parity and time reversal invariance provide new stringent bounds on the imaginary parts of some of the products of the R-parity violating coupling constants in the R-parity violating Minimal Supersymmetric Standard Model. 11.30.Er,12.60.Jv,32.10.Dk Typeset using REVTEX