What are the 8 principles of Intelligence Analysis?
I read in an article that part of Intelligence Analysts' training includes specially designed videogames and in one of the videogames they have to apply the "Eight Principles of Intelligence Analysis". I don't know if that's classified or something but I asked anyways.
Should moral principles be valued more than intelligence and determination?
Absolutely.There are two things we need in our life to contribute to humanity intensely:Direction and MagnitudeThe first step is to choose the right direction. If we can't choose the right direction, then there is no point in travelling fast [in relevance with this question, with intelligence and determination]. If you've chosen the wrong direction, out of flawed moral principles, and if your intelligence and determination is outstandingly high, then you'll be a good terrorist or a good dictator. You will use your talent to kill, to induce pain and suffering.However, if you have abysmally low intelligence and determination, but if you have the right moral principles, then you will contribute to humanity albeit meagerly. Or at least, you won't destroy what is already here on Earth. You won't make it worse. To contribute to humanity by a great amount, you first need good moral principles and other qualities such as intelligence and determination. However, like I had said earlier, there is no point in travelling in the speed of light in the wrong direction. You can always travel like a snail in the right direction.
Are there general principles of augmented intelligence?
In the broad strokes, augmented intelligence (as a theoretical pursuit or topic of analysis) consists of four main areas:Augmented recollection: data previously acquired and cataloged is available for retrieval via a non-binary aparati.Augmented acquisition: information or sense experience may be acquired through means other than natural biological aparati.Augmented correlation: Connections or relations may be dynamically generated by means other than existing biological aparati or means preceding user encounter with said data (I.e. reading a book about how ideas of Foucault relate to Sartre doesn't count, as the proposed correlation existed prior to the user's encounter with said data).Augmented generation: non-biogenic aparati enhances throughput of user-originating data not existent or purely correlative prior to user instantiation of said data. Of the four, this is most contentious, as it is debatable as to the degree to which this capacity is useful or even epistemologically possible (that old Hobby horse of whether original thought lies in generation of new data points or correlation between existing data points).
What is the essence of intelligence?
Well, intelligence is generally defined as the ability to process information and form conclusions. So, what's the essence of that? It could be a number of things. My belief is that it's what's commonly known as wisdom, which is sort of like meta-intelligence: a wise person knows what the appropriate uses for intelligence are. An intelligent person can figure out how to get things that they want, and a wise person knows that sometimes, they shouldn't.
What is swarm intelligence ? ? ? ?
Swarm intelligence (SI) is the collective behaviour of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.[1] SI systems are typically made up of a population of simple agents or boids interacting locally with one another and with their environment. The agents follow very simple rules, and although there is no centralized control structure dictating how individual agents should behave, local, and to a certain degree random, interactions between such agents lead to the emergence of "intelligent" global behavior, unknown to the individual agents. Natural examples of SI include ant colonies, bird flocking, animal herding, bacterial growth, and fish schooling. The application of swarm principles to robots is called swarm robotics, while 'swarm intelligence' refers to the more general set of algorithms. 'Swarm prediction' has been used in the context of forecasting problems.
What is the main principle on which artificial intelligence works?
By definition, the raison d'être of artificial intelligence is to copy natural intelligence. (Whereas, Synthetic intelligence is another ball game.)google.com/search?q=define+Turing-testNote, there are two confusing issues here. 1) Is the machine really as smart or smarter than a person, or 2) can that machine simply convince (notoriously gullible) people that it is smart? (Personally, I believe Alan Turing has lead the world on a merry goose chase down the wrong road, based on the all too human fallacy of Anthropomorphism.)
Gardners theory of intelligence?
This is Yahoo Answers, not Yahoo Cheat-sheets. The correct choices for this and your other posts here are in your class assigned reading and your lecture notes (presuming you were paying attention and not texting and playing "Angry Birds".)