Why is difficult to "anthroposophy" turn into "witty", because the human brain is not a computer, anthroposophy mainly distinguish right from wrong, witty focuses on pattern recognition.
I know than we say to much, we do not know much more than we know, we do not know we do not know than we do not know much more ......
For man, the path is invisible road debris, streams of ...... so it is fragmented rules, probability, knowledge, data, actions constitute human intelligence, that is, generating evolution in strange activities of daily heterogeneous situations from. Human wisdom, from the outset, not formal, logical, and people's logic is non-logical service customized machines on the contrary, from the start of the principled, and procedures, as well as non-logical human services .
Essentially, at the marked differences characterizing data and information that have appeared meaningless, meaning that is, whether the possibility of understanding. Although the machine involved in the characterization of the system is given to the development of people, but a birth had lost activity should, that the various attributes of intent to participate, flexible connectivity and sutures relationship, but many people make are often characterized by way God We are at a loss: flowers and the world, a Bodhi tree. Lack of knowledge map in the classification of knowledge, it is rigid and flexible with the original knowledge representation, so that loss of the connotation and extension of Mi cohesive elastic, like a job classification ......, with limited performance is infinite beauty, the unlimited use limited interpretation of it is wisdom (true), it is good (ie should, righteousness) connecting the two.
If the machine's memory is structured real, so human memory is the virtual + real structured, and as time goes on, more and more virtual, real fewer and fewer high school students have not only no, can even something out of nothing, just like the legendary history books of various sorts of gossip or the same. Even more interesting is human memory can be derived from this kind of machine in terms of emotion --- incredible stuff.
Most people's learning process is not only to get a clear answer, is looking for more understanding of the world and find possible ways of the world. The machine "learning" (if any) "purpose" is not to see connections, and is to seek a result.
Intelligence is not considered, it is the law, understanding of the law, the Road! Understanding is the key, NLP (natural language processing) without first understanding to solve problems, only the pursuit of recognition rate, there will not be a breakthrough. In fact, one of the voice recognition rate is very low, often ask what other people say. Can I ask other people to say what is the most critical ability, because we know that there is no understanding can ask problems. We understand that many people rely on the system's final, if no one involved, no matter how many text processing, do not have any understanding occurs. AI is currently missing: bionic human emotional level is not perfect, so people do not fully understand the physiological and psychological mechanisms of decision-making. This implies that only AI do like people to feel the outside world, and rational thinking man with the same processor, from the inside to the field of human learning and simulation, artificial intelligence is so perfect.
Game theorists Rubinstein published a collection "Language and Economics", one of the papers, the Rubinstein explained by a game model "debate" on the observers do not participate in the game has a very big advantage, because the two sides debate We had to be "private" information disclosure to those who sit in. His mathematical derivation in my opinion I generally do not exceed the scope of philosophical argument. He said in a recent reply to me in his use of mathematics but as to obtain a clearer demonstration only, and agree with me that in the letter:. "Mathematical methods may obscure the profound insight," but man's intuitive apperception , the carrier is an organism's sensory organs, already contains the organism understanding of the various relationships. Just to put this understanding fixed to form a "memory", human beings need the help of another capacity, that is, "rational" capability. In the initial stages of the ability to reason, and that is to form a "concept". The concept is a kind of limits, restrictions, conditions in different situations, these limits, restrictions, conditions will be many changes, even towards its opposite, which is why smart ...... difficult to define, it was involved in activities will appear in each kinds of unexpected reasons for it! Once upon a time, Schopenhauer once said: "In the beginning of the local computing, to understand it ended." Because, calculators focuses only on a fixed relationship between the symbol of the concept, rather than continue to occur in the real world changing causal processes. And "concept" pale as opposed to thinking, insight on "intuitive understanding", Schopenhauer also has an excellent discussion as follows: "Every person has a simple reason, just tell him what reasoning the premise is on the line. but understanding is different, it provides the original nature of things, which is the intuitive knowledge, where there has been a natural differences between people. in fact, every major discovery, each historic World program, are the product of such a glorious moment when the thinker is in a favorable external and internal environment, a variety of complex and hidden causal sequence is examined thousands of times, or ever thought blocked over a thousand times, suddenly, they show up, appeared to understand. "in this sense, all of the current computer intelligence, as long as not based on" smart sense "in the future can be seen, you will never get us such human creativity. Here, the "sense" means "world" to make a direct perception of organ, has the ability to directly characterize the picture of the world presented the organ, rather than today's computers this way, we humans need the help we can face the world "reproduction" What . Qian said:. "As a human system, first of all, it is an open system, that is to say, this System with the outside world is interaction. For example, through breathing, eating, excretion, a substance exchanges; exchanges of information through sight, hearing, taste, smell, touch and so on. In addition, the human body is composed of billions of molecules, so it's not a small system, nor is it a great system, but bigger than a large system of giant system. This part of the giant system is different from each other, their interactions are extremely complex. It is a complex giant system. "In fact, the current AI using only human reason can be programmed in a small part, from a rational human still a big gap, not to mention initial part of human approaching even more amazing - the sensibility!
Galileo said: Mathematics is the language describing the universe. In fact, to be exact: Mathematics is one of language to describe the universe, in addition, there are also many ways of describing the problem and this is intelligent science face: how to effectively integrate these different languages the syntax and semantics pragmatics of it? ! For multi-cognitive system, the scarcity of common and important cognitive component, mathematics is an attempt in this regard to the relationship between objects (but not only) depicted. If you change a culture, a different way they are depicted, in the form of different nature. What mathematics is not just a statement of reality aspects, similar to the blind feel like touching the leg. Mathematics and poetry are the product of imagination. For a pure mathematician, the material seems to lace his face, like the leaves of a tree, like shading a grass or a person's face. Mathematicians as important as that is, Plato was dismissed as "the poet of fanaticism" and "inspiration." For example, when Goethe heard the news of suicide Jerusalem, as if suddenly saw a flash of light in the eyes, and immediately he took Outline "Sorrows of Young Werther," a book of think well, he recalled: "This booklet seems to be written in the unconscious "when the" Prince of Mathematics, "Gauss plagued him for years to solve a problem (and Gauss symbol) after a friend wrote to say:" the last just a few days ago, a success (I think say, not because I have been explored, but the grace of God), is like lightning bombarded the moment, the mystery solved; the reason my previous knowledge, the last time I tried the method and the success of these three who exactly how to contact them, and I also could not figure things out. "another example is the reward and punishment mechanism to enhance the core machine learning, and human learning between reward and punishment there are other mechanisms (adaptation, is offered to reward / passive or punishment to reward / punishment), as stimulating - and choose between reactions transition process. In addition, the human reward and punishment mechanism of reward and punishment mechanism than the simplified version of the machine more complex, not only prize award, Correctional Correctional mechanism, there may even punish award mechanism, some kind of punishment given to express the real rewards (such as dark l next fall) and, of course, kicked upstairs more. Human small mind, in addition to binary, machine are currently inheritance is not too much.
Walk through and get out in a steady stream of traffic, it is a classic situation of human posture collaboration.
Human learning and machine learning biggest difference is whether learning is common sense, when people in education or education, is a composite cognition, not just the rules of probabilistic input. Human knowledge is very complex, get together the physical, psychological, physiological, ethical, Arts ...... both topological space and time, but also illogical logical topology. People are both animals, but also the still life. Machine is also the case, but its dynamic and static and people still have differences. Man-machine fusion learning, understanding human-computer integration, integration of human decision-making, reasoning human-computer integration, integration of human perception, man-machine fusion intent, intelligent human-machine integration is the trend and direction of future development.
One person can become variables constant, the rational becomes emotional, the logic becomes intuition, to become non axiom axiom, to become a common multi-personality, ability to generate compromise to confrontation. For example, people can not only how, why can also represent procedural knowledge representation with descriptive knowledge, as to what, where, when these questions for machine-assisted retrieval can be. Whether natural or artificial intelligent people are involved in value-oriented last question, but unfortunately the machine in the next foreseeable future will not have much of. If price is a scalar, vector values are, you can also say that the data is scalar, vector information, the machine is scalar, vector people. If the data is a scalar, vector information, knowledge is a vector of vectors, investigate its cause, after all, is the physical nature of the data itself has no value of the information is psychological in nature, with a wealth of value orientation.
The cause of the loss of the main advantages of artificial intelligence theory is that it is based on rational choice assumption implies that the homogeneity of the decision-making individuals or groups with a behavior. Because of this assumption ignores the differences between the characteristics of real-world things and different conditions prevailing servant differences knowledge of the world, resulting in greatly reduced the applicability of mainstream theory, which is that it can not be "vision" into the interpretation of the scope of root cause. In order to solve the fundamental problem, after years of development, many thinkers have gradually clear the basic direction of the scientific mainstream smart deconstruction and restructuring, and that is the heterogeneity of individual behavior into intelligent scientific analysis framework, and the rational assumption homogeneity of individual behavior as a special case scenario heterogeneous behavior, so the premise of losing basic scientific mainstream smart analysis paradigm, enhancing its ability to explain and predict new problems and new phenomena. That is the behavior of heterogeneous condensed into two basic assumptions: First, individuals are limited rationality, and second, the individual is not entirely self-interest, but also has a certain degree of altruism. Psychology, economics, neuroscience, social ecology, philosophy, smart science to achieve its heterogeneous behavior analysis provides a theoretical foundation and springboard. Simple machines with different people may be called the phenomenon, the future of smart growth should be in the integration of many disciplines work together to learn basic number of new generation (letter) information, rather than just base has a lot of mathematical basis on the incompleteness of the current.
Novice no abstract sense of boring information, and expert in the extract from vivid, fresh, distinctive very sensitive information, namely through Lida love to see other people do not see (heterogeneous from homogeneous extract sex), aware of the information others can not perceive, the formation of intuition (fast) decision, which also led to an unusually irrational behavior and belief continue to occur. "Cognitive miser" refers to the human brain in order to save cognitive resources, when making decisions, like looking for the obvious surface information processing, in order to quickly concluded, and the result is likely to be wrong, so to superficial known. And "cognitive miser" different, psychology there is a concept called "completely disjunctive reasoning," referring to when faced with multiple options need to make decisions, or to obtain an optimal solution based on the assumption reasoning, All of the results or the possibility of options will be analyzed, evaluated to arrive at correct answers. Because the systematic analysis, the relatively slow speed.
Tacit knowledge has caused a lot of uncertainty, implicit rules make the interaction more complex doubled. It has its roots in the interactive objects "that he can continue to self-correct non-static and uncertain environment." This requires not only required to update their knowledge, but also more emphasis on tapping the potential of organizational mechanisms. Human-computer interaction is essentially part of the integration between the rational and structured programming sensibility of the human person. "Sympathy" is readily understood as follows: we in some way points that feeling has the feelings of others. In fact, compassion empathy is an emotional consistency order of co-occurrence expectations. We can at least find different from each other in the following six areas of consciousness "co-occurrence" approach: co-occurrence mapping, the same feeling of co-occurrence, the flow of co-occurrence, of the co-occurrence image, a symbol of the co-occurrence, the concept of the co-occurrence. Therefore, the "co-occurrence" Although Husserl first used the experiences of others, but it is actually an essential element in all consciousness through the experience of the structure. For this, the machine is still far from realization of learning.
Hawking and Muluodinuo have the light as "acts both like particles and like volatility," Mi gather intelligence, too, such as dispersion fluctuations, such as polymeric particles (note added mechanism). Object is static, matching allocation is dynamic, is constantly being refreshed, described this moment, to grasp how human functions change in different periods of analysis, this may be a very interesting question. Now many of the unmanned system or the system is not really say no, but there is no direct person, and ask for the indirect people will be higher. Independent mechanism for integration of different human situations are not the same, such as different autonomous individuals and autonomous systems, system. Also an important issue of how to balance human-machine integration, the ability, timing, methods, judgments of balance, etc., not fusion, these areas are often caused by imbalances. Such as human-computer interaction into the inner self and the outer interact interact with him, meaning logical expression or characterize many other objects appear only and psychological issue and the real person is often inconsistent, this is reflected in the deep-seated human communication is not smooth and obscure, unsustainable on. In comparison, the machine is good at handling family resemblance of things, who is better than dealing with non-familial similarity, that human beings can never met / met a similar thing in the extraction / similarity, while taking into account human-machine integration is two persons. Straddling the cross is to find non-familial similarity directed association. Wave-particle duality is continuous and discrete situation, the situation has duality perception, cognition there may be non-fused intersecting cross-discrete family resemblance, often reflected when continuous parallel inertia holding family resemblance. Rational cognition of irrational human cognition (discrete) and the machine (continuous) in conjunction with compliance justice (the right to be) is one of the major indicators of effective integration measure.
There are two major difficulties intelligent human-machine integration: Understanding and Reflection. People are weak state strong, strong state machine is vulnerable, weak and strong sense of who is to know, if the machine is a strong sense of art. Between human comic industry has yet to reach a level of a handful of funny, because there is no way to understand the mechanism occurs, the machine is still nowhere in sight capable of humor. Table tennis players considered to be done, the psychological impact of technology does not (want to win afraid to lose), how to schedule their own mental (strength) to give birth to the best condition, psychological critical moment of strong, firm belief and so on, which are is difficult to produce a machine was out of the vital signs. In addition, there must be a combination of man-machine cooperation between expected policy, especially in the second and third expectations right strategy. Self-confidence is trained to match the process of generating a chain of trust between human often when: the alien - not trust - Trust is weak - the more trust - trust - trust in the strong - strong trust, and without trust, no expectations, no would expect human disorders, and simple integration difficult to achieve a desired match, so the second, the third in line with the expected degree of integration is likely to be man-machine consistency of key issues. Premise human chain of trust that people want to generate self-confidence (which is also the self-confidence to match trained), followed in order to generate mechanisms Thaksin and his letter, the letter he and his letter, which involves multi-step problems expected. If being a grammar, should that semantics, and the sum is both pragmatic, human-machine integration is the syntax and semantics, discrete and continuous, clear and rough, and he organized the self-organizing, self-learning and learn from him, and adaptive he adapted, autonomous and intelligent combination of cognition no + cognition community, hybrid compounds, in the form of a non-system + + method of systems that count. Reaction and accuracy is an important indicator of the quality of human intelligence fusion
Artificial intelligence is relatively hard intelligence, human intelligence is relatively soft intelligence, human intelligence is the integration of soft and hard wisdom. Versatile, strong, super-smart wisdom are hard and soft , so intelligent human-machine integration is the future, but the mechanism of fusion mechanism is far from clear, even more trance is inattentive, not only the evolution of a lot of people, machine and change too fast. Heterogeneity of individual and group behavior, not only in economics, psychology field, but also one of the most important areas of intelligence issues. Now the mainstream of scientific intelligence in committing a former economics the mistakes that man as a rational person, everyone knows, people are living people, Chi Chi is alive, people have the desire to have an incentive to have faith and feeling conscious, mathematics and artificial intelligence of this currently still powerless. How to integrate these elements to make it into the state from frozen stiff flexible warm situation, it should be the main criteria for measuring whether a smart and intelligent scale, but it is currently difficult to jump artificial intelligence artificial pain points and bottlenecks, only reinforced no concrete. Economic integration of psychology after people make rational economic man becomes emotional economy, and the current smart science into the psychology just is not enough, we also need to penetrate sociology, philosophy, humanities, art and so on in order to achieve reasonable , so as to realize rational evolution of the smart people smart people into a natural state of the current situation. Smart intention is generated by the fact that the value of common and out of consciousness, called the relationship between the time when the implicit explicit. In this sense, the mathematical formalization may kill smart, Wittgenstein said: Form is the possibility of structure. The object is to stabilize things, the persistence of things; things change and configuration is, non-durable stuff. Wittgenstein also said: We can not deduce the future from the current thing to do. Superstition is precisely believe causality. In other words, there is no causal relationship between the basic state of affairs or facts. Only do not have anything stable structure can always immortal, persists; and there is nothing necessarily the structure is unstable, can be destruction. Because when those ingredients make up their old ways no longer depend combined together they would be gone. In fact, behind every selection (matching) mechanism are hidden two assumptions: Program description invariance and invariance. Both also contributed to the expected utility describes one of the reasons a deep enough. Program invariance show preference for outlook and behavior does not depend on how these preferences are deduced (such as preference reversal), described invariance provisions preference for the selected object does not depend on the selected description of these things.
A few days ago, the University of Sydney, Australia, by Chris Reid study, said: "They are redefining the nature of intelligence." Is called a "SpongeBob SquarePants" yellow Physarum (Physarum polycephalum) bacteria, they can remember , decision making, forecasting change, can solve the maze, simulate artificial transportation network design, selection of the best food. They can do all of these things, but they are not the brain, or nervous system. This phenomenon has to allow scientists to rethink, what exactly is the nature of intelligence? We have found through research, intelligence phenomenon is the interaction between the characters environmental systems, is wisdom, that wisdom, that feeling, that is intended, that is righteous, that is easy to, is the heart ...... psychological heart is human-computer interaction system environment, it is as difficult as the physical reduction of psychological reduction, the biggest difference between life / psychological and the physical is: a living is one thing, one is not living a living, a difficult reduction, a reduction easier. The reason why the arts and humanities than science and technology prone to subvert the original idea, nothing more than that the reflexivity of cross-domain - empathy sympathy, beyond the self, with the wind and horse cattle, and people are generally unwilling to life off the beaten path, humanities Art gives to provide a broader imagination, is described as people see what is not important, important is how people interpret things to see.
Derrida's famous saying "give all the depth, appearance is everything," he hidden meaning: life itself does not follow logic, it is non-logical, non-standard, like philology, in a strange logic in dance .
In addition to these three areas is smart
Machine learning is a learning machine +, artifacts + Learning + inhuman violence peeling garlic
+ AI artificial intelligence, human understanding + thinking + intangible forty-two jin
Human intelligence is human wisdom + function, reasonable man-machine Road + + get carried away
