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I think some scientific insights on this can come from a couple of sources: Cognitive therapy This is a branch of psychological therapy that interprets the human experience as follows. There is an event, then the evaluation of that event, and then the emotion. Disappointment would be the end result, the emotion. Regular therapy might focus on avoiding the ...


5

This is a primary subject of study in game studies and ludology, which are domains of theory and research unto themselves. Moreover, the question as it pertains to games might be interesting to ask over on Arqade, though I can't guarantee it would be "on topic" enough for their community. You might find the following questions from Arqade interesting, as ...


4

The experience machine is meant to be an argument against hedonism in that it's supposed to show that humans value other things than happiness and therefore wouldn't/shouldn't hook themselves up to the machine (whether it succeeds in doing this is another matter; Nozick simply points out that it would be "absurd" for anyone to connect oneself to the machine, ...


3

Empirically supported treatments are specific interventions which controlled (generally quantitative) research has demonstrated to be effective for specific populations (http://en.wikipedia.org/wiki/Evidence-based_practice). The empirical literature on gratitude is rapidly expanding, but, as many of the reviews I will mention note, still emerging. Several ...


2

I think you've misunderstood the set point. It's a point of balance (or imbalance) of positive and negative affect toward which a person naturally gravitates. As such, there's not much need to do anything about leaving the set point except to wait / go on living and let time, neurochemistry, and daily life do the work. Deliberate effort is more likely to ...


2

The Emotiv system has been evaluated in a research setting. Badcock et al. (2013) recorded EEG activity with the Emotiv EPOC and a more conventional laboratory system simultaneously, and found that both systems produced similar results for ERPs with a relatively high signal-to-noise ratio, but it was harder to detect less reliable signals with the EPOC than ...


2

Your question is, in essence, a request for a mathematical model of Temporal Difference Reinforcement Learning. In a nutshell, temporal difference models add a notion of time to reinforcement learning models, which describe reinforcement learning as a comparison between what was expected and what actually occurred. I think most of your answers can be found ...



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