In Silico Generation of Alternative Hypotheses Using Causal Mapping (CMAP)

In Silico Generation of Alternative Hypotheses Using Causal Mapping (CMAP)

Previously, we introduced causal mapping (CMAP) as an easy to use systems biology tool for studying the behavior of biological processes that occur at the cellular and molecular level. CMAP is a coarse-grained graphical modeling approach in which the system of interest is modeled as an interaction map between functional elements of the system, in a manner similar to portrayals of signaling path...

Ramification Analysis Using Causal Mapping

To operate in the real-world, intelligent agents constantly need to absorb new information, and to consider the ramiications of it. This raises interesting questions for knowledge representation and reasoning. Here we consider ramiication analysis in which we wish to determine both the likely outcomes from events occuring and the less likely, but very signiicant outcomes, from events occuring. ...

Evidence for Alternative Hypotheses

Most researchers want evidence for the direction of an effect, not evidence against a point null hypothesis. Such evidence is ideally on a scale that is easily interpretable, with an accompanying standard error. Further, the evidence from identical experiments should be repeatable, and evidence from independent experiments should be easily combined, such as required in meta-analysis. Such a mea...

Testing Quasi-Causal Hypotheses Using Multivariate Twin Data

I find the use of a correlation coefficient a dangerous symptom. It is an enemy of generalization, a focuser on the “here and now” to the exclusion of the “there and then.” Any influence that exerts selection on one variable and not the other will shift the correlation coefficient. What usually remains constant under such circumstances is one of the regression coefficients. If we wish to seek f...

Alternative Hypotheses of Hybrid Vigor.