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Analysis of microscopic behavior models for probabilistic modeling of driver behavior

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016
The accurate simulation and prediction of human behavior is critical in many transportation applications, including safety and energy management systems. Construction of human driving models by hand is time-consuming and error-prone, and small modeling inaccuracies can have a significant impact on the estimated performance of a candidate system.
Tim Allan Wheeler   +2 more
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Modeling and Learning Behaviors

2012
International ...
Vasquez, Dizan, Laugier, Christian
openaire   +2 more sources

Behavior-Based Model Construction

International Journal on Software Tools for Technology Transfer, 2002
In this paper, we review behavior-based model construction from a point of view characterized by verification, model checking and abstract interpretation. It turns out that abstract interpretation is the key for scaling known learning techniques for practical applications, model checking may serve as a teaching aid in the learning process underlying ...
Hardi Hungar, Bernhard Steffen
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Modeling Nonprofit Behavior

2010
In Chapter 9 we focus on the modeling of nonprofit behavior starting with the structural components of model design that frame the organization’s behavior, followed by the theoretical issues associated with the choice of organizational form. We then consider the empirical evidence to reveal the goals of nonprofit organizations in specific industries ...
Patricia Hughes, William Luksetich
openaire   +1 more source

Optimality Models in Behavioral Biology

SIAM Review, 2001
Summary: The action of natural selection results in organisms that are good at surviving and reproducing. We show how this intuitive idea can be given a formal definition in terms of fitness and reproductive value. An optimal strategy maximizes fitness, and reproductive value provides a common currency for comparing different actions.
McNamara, JM, Houston, AI, Collins, EJ
openaire   +3 more sources

On Autistic Behavior Model

2019 Spring Simulation Conference (SpringSim), 2019
Assuming that a behavior of low-functioning persons affected by autism spectrum disorder (ASD) is related to the abstraction ability deficit we propose a simple model in which this ability is described by a distance function $d_{q}$(A,B)= $\Vert$ A-B$\Vert_{q}$, q$\in$ [0,$\infty$], measuring differences between patterns.
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On modeling program behavior

Proceedings of the November 16-18, 1971, fall joint computer conference on - AFIPS '71 (Fall), 1971
This is a paper about the history of the working set model for program behavior. It traces briefly the origins and bases of the idea and some of the results subsequently obtained. The physical context is a hierarchical memory system consisting of a severely limited quantity of main (directly-addressable) storage and an essentially unlimited quantity of
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Animal Models of Ejaculatory Behavior

Current Pharmaceutical Design, 2005
Premature ejaculation is generally regarded the most frequent male ejaculatory complaint and has been considered a psychosexual disorder with psychogenic aetiology. The efficacy of various antidepressants, however, to delay ejaculation in men and to pharmacologically treat premature ejaculation suggests a strong neurobiological involvement. Most of our
Pattij, T., Olivier, B., Waldinger, M.D.
openaire   +3 more sources

The Renewal Model for Program Behavior

SIAM Journal on Computing, 1975
A model for program behavior, the renewal model, is introduced; its properties are discussed, and its ability to model the behavior of real programs is investigated. Using this renewal model, several theorems are derived which describe the performance of the working set replacement algorithm.
Holger Opderbeck, Wesley W. Chu
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Modeling and Prediction of Human Behavior

Neural Computation, 1999
We propose that many human behaviors can be accurately described as a set of dynamic models (e.g., Kalman filters) sequenced together by a Markov chain. We then use these dynamic Markov models to recognize human behaviors from sensory data and to predict human behaviors over a few seconds time. To test the power of this modeling approach, we report an
Alex Pentland, Andrew Liu
openaire   +2 more sources

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