Many situations exist in which a latent construct has both ordinal and continuous indicators. This presents a problem for the applied researcher because standard measurement models are not designed to accommodate mixed ordinal and continuous data. I address this problem by formulating a measurement model that is appropriate for such mixed multivariate responses. This model unifies standard norm...

A longstanding open problem in lambda-calculus, raised by G.Plotkin, is whether there exists a continuous model of the untyped lambda-calculus whose theory is exactly the beta-theory or the beta-eta-theory. A related question, raised recently by C.Berline, is whether, given a class of lambda-models, there is a minimal theory represented by it. In this paper, we give a positive answer to this la...

this article investigates fluctuations in stocks prices at tehran stock exchange, assuming that investors' utility stems from fluctuations in value of stocks as well as consumption. thus, the two behavioral phenomena discussed in prospect theory, i. e. loss aversion and house money effect, were factored into consumption-based asset pricing model and investor's utility function, which ...

Data envelopment analysis (DEA) is a mathematical method to evaluate the performance of decision-making units (DMU). In the performance evaluation of an organization based on the classical theory of DEA, input and output data are assumed to be deterministic, while in the real world, the observed values of the inputs and outputs data are mainly fuzzy and random. A normal distribution is a contin...

     Heat transfer mechanisms and the solidification process are simulated for a continuous casting machine and the geometric shape of the liquid pool is predicted considering different conditions. A heat transfer and solidification model is described for the continuous casting of steel slabs. The model has been established on the basis of the technical conditions of the slab caster in the con...

In this paper, we present an overview of the project on Autonomous Learning Design Agents which began recently. An agent that addresses the task of Design by Autonomous Learning (DAL) builds an abstract model of the environment from the sensory data with the goal to modify the environment to meet a new set of functionalities. Any agent that addresses the DAL task is confronted with a task of tr...

Due to the changes which may occur in their parameters, systems are usually demonstrated by some subsystems for different conditions. This paper employs Modified Petri Nets (MPN) to model theses subsystems and makes it simple to analyze them. In this method, first, the continuous transfer function is converted to a discrete transfer function and then, by MPN, system is modeled and analyzed. All...

We present a computational model, based on Attribution theory, of responsibility judgment for negative events. Our model uses Qualitative Process theory to reason over the continuous parameters involved in attribution, avoiding the need for ad-hoc assignment of quantitative values. Qualitative reasoning allows our model to infer relative amounts of responsibility for a situation in a manner tha...

A computational theory of everything (TOE) requires a universe with discrete (as opposed to continuous) space, time, and state. Any discrete model for the universe must approximate the continuous wave equation to extremely high accuracy. The wave equation plays a central role in physical theory. It is the solution to Maxwell’s equations and the Klein Gordon (or relativistic Schrödinger) equatio...

We present a cartesian closed category of dI-domains with coherence and strongly stable functions which provides a new model of PCF, where terms are interpreted by functions and where, at rst order, all functions are sequential. We show how this model can be reened in such a way that the theory it induces on the terms of PCF be strictly ner than the theory induced by the Scott model of continuo...