The affective reasoner: a process model of emotions in a multi-agent system
The affective reasoner: a process model of emotions in a multi-agent system
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The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
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Emotions are different Ways to Think that our mind triggers to deal with different situations we face in our lives. Our ability to reason and make decisions, in fact, is strictly dependent on both our common sense knowledge about the world and our inner emotional states. This capability, which we call affective common sense reasoning, is a fundamental component in human experience, cognition, perception, learning and communication. For this reason, we cannot prescind from emotions in the development of intelligent user interfaces: if we want computers to be really intelligent, not just have the veneer of intelligence, we need to give them the ability to recognize, understand and express emotions. In this work, we argue how graph mining, multi-dimensionality reduction, clustering and space transformation techniques can be used on an affective common sense knowledge base to emulate the process of switching between different perspectives and finding novel ways to look at things.