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Architectures for recognizing and generating emotion are typically somewhat complex and don't generally have short descriptions, so it's probably better to reference the literature rather than give a misleading soundbite: Some of the early work in affective computing was done by Rosamund Picard. There is a research group at MIT specializing in this area. ...


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As for your comment about a computer program showing lower emotional intelligence, you may find Eliza (which you can try here) interesting. It is classical in the history of AI and pretends to mimic an analyst (psychology). However, I think your question fits nowadays more in the field of Human-Robot Interaction, which relies largely on vision for ...


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Will computers be able to understand user emotions? The term Understand is multidimensional, so characterizing the degree of understanding — emotional or otherwise — is a slippery task. Nonetheless, some forms of AI emotional understanding are possible. An Interesting Simple Case Even the embedded programs of velocity sensitive musical ...


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It's a poorly stated question because these are at least three, possibly four different questions that are quite independent from each other. First, let's take the questions from the text. Selfishness vs generosity of the system - this is quite easy to define as sacrificing resources for "own maintenance" vs "statutory purposes" - "helping others" defined ...


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Emotions aren't something that you can implement - they're very complex. However, you can attempt to mimic them. Human emotions are closely related to conscious experience characterized by intense mental activity, which is based on interpretation of events. Recent brain studies (including research in cognitive psychology and neurophysiology) suggests that ...


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MOEAs sounds very cool, but I feel that you can't really talk about conflict in AI without discussing generative adversarial networks (GANs), which have been shown to have amazing performance by training a model to say detect in-between pictures of cats and dogs and an adversarial network being trained to create pictures to attempt to trick the training ...


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There are multi-objective optimization problems, where the objective functions may be in conflict with each other, which can potentially have multiple Pareto-optimal solutions. The paper Multi-objective optimization using genetic algorithms: A tutorial (2006) gives a good overview of the multi-objective optimization problem with genetic algorithms, which can ...


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This is a game theory question, and involves the intersection of game theory and ethics. First, it's helpful to define love in functional sense as altruism. (This is consistent with the function aspect of agapein terms of how that love functionally affects the material world through the actions of individuals.) To this end, I urge you to look into the ...


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I was an Undergraduate Research Scholar - I and my team developed an algorithm to detect Human Emotions from touch Screen - which is under further improvement and development by PHD scholors of my guide . From studying literature I can say that the reverse is a difficult task - Detecting Affect . Even more difficult to detect human emotions with a light ...


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So you may be familiar with Word2Vec, (W2V) which as Wikipedia describes1 "captures the linguistic contexts of words" using vector arithmetic. For example, subtract 'Paris' from 'France' and add 'Italy' and you get 'Rome'. What you need is something like a Sentiment2Vec (S2V) that captures the similarities between emotional transitions. Something like: ...


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