Answer:
The last one, "the reason the city was founded."
Answer:
A
Explanation:
Treatments that improve depression increase BDNF
Answer:
1. Nararapat lamang na itapon natin ang basura sa tama nitong kalalagyan upang di maduming tingnan ang ating kapaligiran at upang malayo tayo sa mga sakit kapag itoy nagkalat dahil sa ulan.
2. Sa aking palagay nararapat na ding itigil ang pagputol ng mga puno upang di makalbo ang kagubatan na siyang tahanan ng mga hayop at upang walang gaanong pinsala o baha pag dumating ang bagyo.
3. Karapat-dapat na ding itigil ang planta dahil ang usok nito ay nakadagdag ng polusyon sa hangin at higit pa nakakasira sa ating ozone layer.
4. Nararapat na ding hinay-hinayin ang pagdami ng tao dahil isa din itong suliranin sa ating pangkapaligiran ang pagdami ng populasyon ng tao.
5. Bilang tao nararapat tayong maging responsable sa hakbang na ating gagawin pag-isipan nating maigi kung ito ba'y nakakatulong o nakakasama sa kapaligiran na siyang dahilan ng pagkaubos ng ating likas na yaman.
ctto.
Answer:
b) learned response
Explanation:
In psychology, a learned response refers to a response that has been acquired by learning.
Usually, these responses have to do with conditioning learning theory in which a certain behavior gives us a desired response and a reward (either external like an actual prize or internal as praising and respect from others) and this makes us repeat the conduct to keep experimenting the reward and thus, this is how a learned behavior/response is learned.
Behaviorism states that one's environment causes one’s behavior.
In this example, Jason <u>instigates more and more fights on the school playground and this gains him the attention and respect of his friends.</u> His environment is reinforcing his conduct.
Therefore, <u>by having this behavior he is getting a reward which is the respect of others, so he continues doing this behavior.</u>
Thus, this is an example of learned response.
Learning takes place in a connectionist network through a process of <u>back propagation</u> in which an error signal is transmitted starting from the property units.
<u>Explanation</u>:
Back propagation is a set of rules used for learning about the artificial neural networks using gradient descent. The gradient of the error function is calculated with respect to the neural network's weights.
This algorithm can be efficiently used to calculate the derivatives. Connectionist networks helps in arranging the neurons into a network. This network defines the arrangement of neurons, transmission function of neuron and a learning rule.
In back propagation, the error signal is transmitted from the property units.
