Answer:
This best illustrates the importance of "<u>biological predispositions</u>" in associative learning.
Explanation:
Biological predisposition in humans means that there are internal characteristics humans possess that increase their chances of having certain conditions.
The taste aversion (or dislike) someone develops after eating tainted food and falling ill is as a result of <em>associating the stimuli (the taste of the bad food) with the response (falling ill)</em>.
By associating the stimuli with the response, the body learns to stay away from such food in future, to avoid falling ill again.
This indicates that biological predispositions are more important in associative learning than external stimuli (such as; music or the sight of the restaurant).
Answer:
C- Improvements of the steam engine
Explanation:
Answer:
British settlement of North America began at a time when the idea that Englishmen were entitled to a special heritage of rights and liberties was quickly gaining ground. Even at its earliest stages, the colonists imported language reflecting this heritage into the legal and political arrangements of the communities they founded. In 1606, in the First Charter of Virginia, for example, King James I (reigned 1603–1625) guaranteed to the colonists and their posterity all of the “liberties, franchises, and immunities” possessed by anyone born in England. Every colonial charter included similar provisions.
The crucial importance that Sir Edward Coke attributed to Magna Carta as the basic guarantee of English rights in England was likewise reflected in the laws of the colonies. For instance, at Ipswich, Massachusetts, in 1641, Nathaniel Ward, a jurist and Puritan minister who came to America in 1634, compiled “The Body of Liberties” (later, the basis of Massachusetts law), which contained a synopsis of Magna Carta’s guarantees of freedom from unlawful imprisonment or execution, unlawful seizure of property, right to a trial by jury, and guarantee of due process of law. Over time, all of the colonies adopted language from Magna Carta to guarantee basic individual liberties.
Explanation:
A Temporal Investigation of Crash Severity Factors in Worker-Involved Work Zone Crashes: Random Parameters and Machine Learning Approaches:
Reason:
In the context of work zone safety, worker presence and its impact on crash severity has been less explored. Moreover, there is a lack of research on contributing factors by time-of-day. To accomplish this, first a mixed logit model was used to determine statistically significant crash severity contributing factors and their effects. Significant factors in both models included work-zone-specific characteristics and crash-specific characteristics, where environmental characteristics were only significant in the daytime model. In addition, results from parameter transferability test provided evidence that daytime and nighttime crashes need to be modeled separately. Further, to explore the nonlinear relationship between crash severity levels and time-of-day, as well as compare the effects of variables to that of the logit model and assess prediction performance, a Support Vector Machines (SVM)
What is meant by machine learning approach?
Machine Learning is an AI technique that teaches computers to learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model.
Learn more about random parameter approach:
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there are exactly 56 signatures on the Declaration of Independence
