You agree that the level of intelligence depends on the ability to invent models of knowable objects?
Data Интеллект и символьное моделирование (Intellect and symbol modeling)
Intuition refers to beliefs that cannot necessarily be justified. Intelligence is deducing these beliefs through logically. I agree that the level of intelligence depends on the ability to invent models of knowable objects.
“Do you trust your gut when it comes to the big stuff? Instincts and ‘hunches’ may have a comforting influence on day-to-day decisions, but when it comes to major strategic choices and matters of great complexity, intuition doesn’t often get a seat in the C-Suite.
Leaders are more likely to rely on hard evidence and data, logic and rational analysis to support their biggest and most important decisions. However, recent insights and discoveries in the field of neuroscience have given new importance and credibility to the role of intuition in leadership, especially when it comes to decision-making”.
For more details on the difference between intuition abd intelligence, please refer to the link hereunder.
http://www.oxfordleadership.com/blog/posts/2013/intuitive-intelligence-in-leadership/
I believe that intuition is the basis of intelligence.
Intuition works as a mechanism to build and sort of hypothetical methods for solving new problems, acting without mind control.
Chapter S-моделирование (S-modeling)
Data Интеллект и символьное моделирование (Intellect and symbol modeling)
The evidence for arguments or empirical evidence in modern research with computation, theory, hypothesis, assumption, dogma, is a quantum-mechanical manipulation; which are analogous to
I mean an inner passion of purposeful person.
Such passion is helping to concentrate.
Passion is depth of emotion, if we achieve emotive A.I. we will want to have some of them capable of passion.
Passion of knowing the things add to intelligence which is required in intuition formulation about that particular thing , this makes a system intelligent and the system having all the capabilities in itself constitute a artificial intelligence based system
Deepak Prashar: "and the system having all the capabilities in itself constitute a artificial intelligence based system"
Only if the system is artificial. I.E. Man made.
Natural systems are just intelligent.
In the area of intelligent tutoring systems, our lab develops spoken dialog systems that help children learn science through spoken dialogs with a virtual tutor (VT). In these dialogs, the VT asks elementary students in grades 3-5 questions about science presented in media. Children produce answers that are analyzed for accuracy and completeness using natural language processing technology, and asks follow on questions and new media to scaffold learning, leading to construction of explanations that are more accurate and complete. This system, My Science Tutor (see www.bltek.com) has artificial intelligence, and models spoken dialogs well. It represents the knowledge the student is expected to express, and is able to ask follow-on questions based on the state of the dialog and the knowledge students have expressed so far in the dialog. The VT lacks passion, although children are often highly engaged and excited during their tutoring sessions.
Our goal is to create an empathic and perceptive VT by using eye tracking and facial recognition technologies to estimate children's affective states, and have the VT respond appropriately, e.g., mirroring students' emotions. There is a field of research called Affective Computing that aims to measure and respond appropriately to users' affect during tutoring with artificial agents. The hope is to imbue the tutor with sensitivity to the users' affective state and respond with encouragement, excitement, etc. as appropriate to establish rapport and motivate them. In our own work, we record expert human tutors and attempt to model their spoken and visual behaviors in response to children. So, in response to the excellent question-- the relationship between intelligence, intuition and passion-- in the context of an intelligent tutoring system, we try to represent and model intelligence during spoken dialogs, and measure and respond appropriately to affect in the future, both verbally and visually with the VT, as technologies mature. In terms of intuition, that's a tough one. There are many many design decisions that are made when developing the approximately 100 15-minute dialogs developed to date, and many of the detailed decisions rely on the developers; intuitions, which have been refined by experience. Of course the VT doesn't experience (really feel) affect, passion or intuition, but we expect future research will produce emergent experiences in users that cause them to believe that the virtual tutor is intelligent, perceptive, empathic, occasionally passionate, and perhaps intuitive. (About half of all students report they trust the VT Marni and that she cares about them.) There is a long way to go, but I hope to see these VTs in my lifetime (and I turn 70 this year).
"How do intelligence, intuition, passion and artificial intelligence relate to each other?"
historically - intuition and passion - not at all. These concepts are outside the cognitivist frame of reference.
"intelligence," - it depends on how you define intelligence. Define intelligence as logiclal operations on symbols and the answer would be 100%
"You agree that the level of intelligence depends on the ability to invent models of knowable objects?"
no, I don't agree with that statement at all. Intelligent action in the world is not, or not always, based on operations on mental models. The cognitivist/computationalist paradigm in psychology failed because most thinking is not reasoning on symbols.
Afinal estão, cada uma por sua vez, submetidas à própria inteligência. A inteligência da inteligência, a inteligência da intuição, a inteligência da paixão e a inteligência da inteligência artificial. E mais, a inteligência que opera, é a mesma em qualquer campo; ela é como regra sem as quais não há o inicio de qualquer jogo.
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