Answer:
usyfusegvkjdfgvuasdgivhdsguivsduigvudsgvudsgvudsgfoshcvjsdgvu8sdghkv,bmxchvgs89eyfsgdyufvuerifiasgjvusdgfiuasgfjksdgfudsof
Explanation:
Answer:
The correct answer is - option B. Whether the Twitter user provided #SorrySorrySorry (for the sincere condition), #SorryNotSorry (for the insincere condition), or #WhatsDoneIsDone (for the no apology condition).
Explanation:
An independent variable is a variable in any experiment is that leads to the changes to the dependent variable. The independent variables are subject to change to know what changes occur to the experiment.
The independent variables are stand-alone in specific conditions and would not change by the other variables the investigator tries to analyze. In this case, the Twitter user provided three different hashtags for three different conditions.
Sara experienced no fear in response to the buzzing sound. At that time the sound of the buzzing bee was most clearly a(n): <u>neutral stimulus</u>.
<u>Explanation</u>:
Psychology says neutral stimulus is a kind of stimulus which never produces a response initially other than focusing attention. The neutral stimulus gets changed to a conditioned stimulus, when it combines together with an unconditioned stimulus. Neutral stimulus won’t trigger the response.
In the above scenario, Sara expressed no fear towards the bee. She was simply observing the buzzing sound. This explains that the sound is neutral stimulus and that doesn’t make any reaction in Sara.
Answer C they are able to learn new skills and solve problems easily
Answer:
<em>Connectionism </em>
Explanation:
Connectionism is <em>a specific philosophy applicable to machine learning and other developments in technology</em>; it perceives the human mind to be connected to complex networks of interconnection.
Several link the term to <em>data scientist Donald Hebbs</em> who was prominent in the 1940s.
<em>
Connectionism claims that very complicated behavioral and emotional behavior can be explained by evaluating, as a main instance, cells in the brain, the complicated interaction of simple units</em>.
