The capacity to reflect, reason, and draw conclusions based on our experiences, knowledge, and insights. Thinking encompasses so many aspects of who our children are and what they do, from observing, learning, remembering, questioning, and judging to innovating, arguing, deciding, and acting. There is, however, a growing body of research that technology can be both beneficial and harmful to different ways in which children think. Rather, because their brains are still developing and malleable, frequent exposure by so-called digital natives to technology is actually wiring the brain in ways very different than in previous generations.
Correspondence should be addressed to Tuomo Kujala ; if. This is an open access article distributed under the Creative Commons Attribution Licensewhich permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract Design mimetics is an important method of creation in technology design. Here, we review design mimetics as a plausible approach to address the problem of how to design generally intelligent technology.
We argue that design mimetics can be conceptually divided into three levels based on the source of imitation. Biomimetics focuses on the structural similarities between systems in nature and technical solutions for solving design problems.
In robotics, the sensory-motor systems of humans and animals are a source of design solutions. At the highest level, we introduce the concept of cognitive mimetics, in which the source for imitation is human information processing.
We review and discuss some historical examples of cognitive mimetics, its potential uses, methods, levels, and current applications, and how to test its success. We conclude by a practical example showing how cognitive mimetics can be a highly valuable complimentary approach for pattern matching and machine learning based design of artificial intelligence AI for solving specific human-AI interaction design problems.
Introduction Mimetic design is an important design methodology. It refers to technology design in which designers imitate some existing phenomenon or system to generate new technological solutions. The paragons can be anything, but often they are phenomena or systems of nature [ 1 ]. Yet, mimicking is not necessarily a simple concept.
Design mimetics have often focused on structural and physical similarity between entities of nature and technical solutions. However, the structural and physical similarity between the source and idea may not be sufficient for getting the best out of mimicking.
There are classes of design problems, which are not structural or physical but still could be of real use, if designers could find new ideas by studying possible solutions via mimicry.
In this paper, our goal is to reanalyze design mimetics at a conceptual level in order to explicate the ways it can serve as an approach for addressing the problem of how to design technological solutions with artificial general intelligence [ 2 ].
Designing intelligent systems is becoming a core area in developing modern technologies [ 3 ]. Machine translation, image and speech recognition systems, self-driving cars, chatbots, and robot help desks are examples of current technological trends.
The consequence of these new developments is that computers are becoming more relevant in replacing or reallocating people in tasks, in which so far it has been necessary to use people in order to get the systems to work. Nevertheless, true progress in this area presupposes in-depth understanding of the human cognitive processes that should be replaced by machines.
Therefore, it makes sense to rethink the conceptual foundations of design mimetics in this new technological era. Consider the way in which design mimetics could be used in designing a cyborg pianist.
The first problem is to create the hands that play the piano. They must be like human hands with respect to size and elasticity of movement. They should have the right pressure, timing, and tempo to play like Lang Lang a well-known Chinese concert pianist. It should be able to hear the notes and respond accordingly.
A critical question here is whether the imitation of the human hands and eye-hand coordination processes are sufficient in expressing all human skills in piano playing.
Skilled pianists often use their hands to play the keyboard in a routine manner but they also have to solve unique and complex problems. They have to rely on higher cortical processes such as categorization, inference, decision making, problem solving, and constructive thinking in order to be able to create new artistic visions and interpretations [ 4 ].
In building intelligent systems such as autonomous robots, it is thus not necessarily sufficient to mimic biological structures but it is also necessary to mimic sensory-motoric and even different levels of higher intellectual processes. Here, our common sense example could have been about any human expert at work.The Science Three-Level Hypothesized Explanation of the IM effect (McGrew, ).
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Human Brain - Neuroscience - Cognitive Science The Human Brain is the most Complex Processer of Information on the metin2sell.com ability to Process Information and Store Information,, is what makes us metin2sell.comation Defines us, Information Controls us, Information Teaches us.
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