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8

This is a great question. Short answer: No, the evidence does not suggest that positive reinforcement is universally more effective than negative reinforcement or punishment. However, there are still good reasons to focus on rewards over punishment in real-life training/learning situations. Long answer: The trouble for folk psychology began with ...


6

As per the comments to the question, human research observing this distinction does exist. CHCH possibly alludes to an article by Gläscher, Daw, Dayan and O'Doherty (2010) which concisely defines the difference between model-free learning and model-based learning: Reinforcement learning (RL) uses sequential experience with situations (“states”) and ...


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The lateral amygdala appears to be involved in representing fear memories after extinction (Hobin, Goosens and Maren, 2003). The extent of the lateral amygdala's involvement in representing these appears to revolve around the context of the {CS, UCS} pair. The authors state the following in their abstract: Similarly, the majority of LA neurons exhibited ...


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One explanation for the development of 'acquired tastes' is a form of reinforcement learning called flavor-flavor learning. The name sounds a bit odd on its own, but should best be seen in relation to the concept of flavor-nutrient learning. What flavor-flavor learning is When a previously unexperienced flavor is encountered with familiar flavors, the ...


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First a couple of definitions: Positive reinforcement occurs when an event or stimulus is presented as a consequence of a behavior and the behavior increases. Negative reinforcement occurs when the rate of a behavior increases because an aversive event or stimulus is removed or prevented from happening. Learning may occur as a result of negative or ...


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The term I was looking for is "concurrent activities". Some research in the domain of hierarchical learning has been done in this domain by Rohanimanesh and Mahadevan. According to this literature review on hierarchical learning, basically what they did was determine how multiple tasks can be managed without interfering with one another and how they should ...


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To add gaming element to education, you have two options: Look at currently successful examples of products that gamify learning Check most successful mobile games (short engagement times) Here are a couple examples of language learning products that gamify learning (Duolingo and ChineseSkill) They use: Very short lessons which produce instant sense of ...


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I'm not sure I fully understand your design; perhaps you can clarify what you want your network to learn, why TD-learning "isn't cutting it", and what you mean by 'reinforcement' and 'prediction' learning. In particular, TD-learning is a reinforcement learning model, and it does reward based on predicted (and not just observed) outcomes. However, you seem ...


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whilst the nature-nurture issue in mammalian (and particularly human) behaviour is a perennially-fascinating topic, we have learned to be cautious about attempting to construct any strict dichotomies between learned and innate behaviour. suppose you had asked: "did I learn English or just have it?". successful delayed gratification most likely involves ...



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