Answer:
1. interactive influence
2. Language defined is How different humans speak or write. There own unique way of communicating. Three elements are Economy, Power, and Clarity. Three structures are sound-system, syntax, and semantic component.
3. Yes, language shapes our lives. Yes, it takes time thought but especially apes and monkeys to speak the language but I have seen dogs that learned to speak Chinese but they obviously don't speak
Explanation:
3. With our words we influence our own, and others thoughts and taking it a step further, also behavior.
The words we speak influence our thoughts, moods, and how we feel about the world, and the people.
Credit:
<em>https://www.sas.upenn.edu/~haroldfs/popcult/lingstruct.html</em>
<em>https://2012books.lardbucket.org/books/public-speaking-practice-and-ethics/s16-03-six-elements-of-language.html</em>
<em>https://www.quora.com/Does-language-influence-the-way-people-think-How</em>
<em>https://blogs.scientificamerican.com/guest-blog/can-animals-acquire-language/</em>
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http://www.history.com/this-day-in-history/british-capture-and-burn-washington
read that it will help u
Answer:
C.because the belief was that the Japanese supporters could send messages to off shore ships
Explanation: Please correct me if I am wrong.
<span>The answer is epistemology. Epistemology is the study of knowledge, how we are able to know things, and what counts as knowledge. It includes the study of why some beliefs are justified, and therefore represent things that we know, and other beliefs are not justified. Therefore, a disagreement about what counts as knowledge would be a disagreement about epistemology.</span>
Answer:
<em>Biological Basis of Learning:
</em>
<em>Hebb's Rule</em>
Explanation:
<em>The rule of Hebb is a postulate which Donald Hebb proposed in 1949.</em>
<em>It is a law of learning that explains how neuronal behaviors affect the neuronal relation, i.e., synaptic plasticity. It offers an algorithm for updating neural relation weight within the neural network.</em>
Hebb's rule offers a simplified model, based on physiology to imitate the activity-dependent characteristics of synaptic plasticity and has already been extensively used in the artificial neural network area.
Various versions of the rule were proposed to make updating law more practical.