The anti-propositions of propositions exist, and the inverses of famous sayings are often also established.
Mr. Jin Guantao’s "Philosophy of Authenticity" pointed out: "For the first time in the 20th century, philosophers began to study epistemology from people freely using sign referents, which led to a great revolution in philosophy. However, the introduction of sign systems into philosophy brought about conceptual changes. At the same time, two fatal mistakes were made: One is to equate mathematics with logic. The mistake comes from another mistake, that is, the real object must exist objectively, and the deduction of the sign is only the sign in the process of referring to the object. The mutual inclusion and equivalent transformation (both logical).". In fact, the current research flaws in artificial intelligence and intelligence science may also be related to it: equating mathematics with logic + signs and obfuscating the reference of objects. To some extent, the in-depth situational awareness research of human-computer fusion is to solve these two basic problems.
The meaning of in-depth situational awareness is "the perception of situational awareness, which is a kind of human-machine intelligence, which includes both human intelligence and machine intelligence." It means signifier + signifier, which involves both the attributes of things (signifier, Feeling) is also related to the relationship between them (referred, perception), and can understand both the original meaning of things and the off-string sounds. It is based on situational awareness with Mical.Endsley as the main body (including information input, processing, and output links. For details of the article "What is Situational Awareness" , please refer to the article on Japanese WeChat public account on November 16, 2017; "Situational Awareness and In-depth Situational Awareness" For the article "Differences" , please refer to the Japanese micro-article on February 17, 2019; for the article "Thinking about the issue of in-depth situational awareness" , please refer to the Japanese micro-article on October 11, 2019.) Based on the addition of people, machines (things), and environment ( The overall system trend analysis of nature, society) and their interrelationships, with two adjustment feedback mechanisms of "soft/hard"; including self-organization and self-adaptation, as well as other organization and mutual adaptation; including partial quantitative calculation and prediction, It also includes the overall qualitative calculation and evaluation. It is an expectation-selection-prediction-control system with autonomous and automatic aggregation effect of information correction and compensation. If vision is formed by the diffuse reflection of objects, then deep situational awareness is equivalent to turning on a switch in a dark room to see the origin of things.
In the not-too-distant future, you can try to embed the deep situational awareness system into the smart city's emergency warning and forecasting system for handling emergencies. Every emergency will promote people to accelerate the change of thinking. As an important decision-making technical means for national emergency management, the in-depth situational awareness system is an important tool for smart city governance. We believe that it will be more and more affected by departments at all levels. Value and support.
In a sense, deep situational awareness is a comprehensive manifestation of the full use of various human cognitive activities, such as purpose, feeling, attention, motivation, prediction, automatism, and motor skills, in order to complete thematic tasks in a specific environment. , Planning, pattern recognition, decision-making, motivation, experience and knowledge extraction, storage, execution, feedback, etc. It can operate in the context of insufficient information and resources, as well as in the context of information and resource overload.
In the foreseeable long period in the future, the privilege of in-depth situational awareness will still belong to people, not to opportunities. This is because people can only grasp the direction, and opportunities can only be process. The reason why people can grasp the direction is that they understand the value of facts, and can determine the subjective value of a thing or fact under a specific situational task, not just the objective saliency, so it is an organic world; machines/mechanisms are not. They are not subjective, but there is no calculation process of value and risk responsibility. They are an inorganic world. In addition, even if the usual two-choice decision is often as heavy as a mountain at a critical moment, it is not enough to have value alone. It also requires the courage and courage to bear the consequences. This can only be done by humans.
The fifth episode is about in-depth situational awareness
In-depth situational awareness, this kind of seemingly cyclical but in fact non-cyclical change, makes people feel like a kind of art. In the in-depth situational awareness system, our main purpose is not to construct the situation, but to construct the meaning framework of the situation, and then realize in-depth prediction and planning under many uncertain situations.
Generally speaking, sense corresponds to fragmented attributes. Knowing is the establishment of associations (relationships) at the same time. People's senses and knowing processes are often performed at the same time (not for machines), and people can perform physical, physical, and physical processes at the same time. Psychological, physiological and other attributes, senses and perceptions of relationships can also be mixed with intersecting feelings and perceptions. Over time, certain intuitions or emotions will be generated, from irrelevant to weak, from weak to relevant, from relevant to strong, and even The formation of the "leapfrog phenomenon", analogy plays a very important role in this process, it is a bridge that converts tacit knowledge into explicit rules/probabilities. According to phenomenology, the key to consciousness is perception, which is the ability to perceive surrounding objects and the world constituted by oneself. The perception of the object is the action that one can do with the object obtained from the integration of the interactive experience of oneself and the object. For example, the perception of an apple on a nearby table is that it can be eaten, it can be held in hand when it walks over, it can be thrown and so on. It is generally believed that perception is signal input, but in fact, a computer accepts video signal input but has no vision, because the computer does not have the ability to move. Perception needs to be combined with its own actions, which endows the input signal with semantics. The input signal does not necessarily lead to a certain action. It must be combined with the action to have perception. Perception is generated through the coordinated integration of input signals, its own motion and environmental objects, and the integration forms an empirical memory. When it encounters related signals, it will produce perception of objects (actions that can be performed on objects). Of course, perception may not be enough. Intelligent systems also need the ability to reason, think, and plan. But these abilities can be built on the basis of the perception platform.
Intelligence includes high, medium and low components, elements and relationships at the same time, and in-depth situational awareness is no exception
A case of human-computer interaction mismatch
Man is an integral part of nature, and art expands this part