심리학의 메타인지(초인지) 연구가 인공지능, 로보틱스에 어떻게 적용되는가

[행복도움이]

심리학의 메타인지(초인지) 연구가 인공지능, 로보틱스에 어떻게 적용되는가

심리학의 메타인지(초인지) 연구가 인공지능, 로보틱스에 어떻게 적용되는가
에 대하여 아래 학회의 발표논문 모집 공고 서문이 잘 설명하고 있습니다.
한번 살펴보시고 왜 인지심리학, 인지과학 연구가 중요한가
또 인공지능 로보틱스 등의 IT, RT의 발전을 위해 어떻게 연결되어 쓰일수 있는가
왜 인공지능, 로보틱스 연구가 인지심리학 연구 없이는 제대로 발전할 수 없는가에 대한 생각을 넓히시기 바랍니다.


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Second Call for Papers

AAAI Spring Symposium on Metacognition in Computation
March 21-23, Stanford University

http://www.cs.umd.edu/~anderson/ASSMC

The importance of metacognition in human thinking, learning, and problem solving is well established. Humans use metacognitive monitoring and control to choose goals, assess their own progress, and, if necessary, adopt new strategies for achieving those goals, or even abandon a goal entirely. Absent-minded Professor Doe, for instance, almost always forgets his lunch. He has an adequate recovery plan for this: he simply goes to the school cafeteria. However, as the school cafeteria is expensive, this strategy is wasteful. Thus, Professor Doe employs metacognitive reflection, realizes the frequency with which he forgets his lunch, and adopts a special strategy to help him remember: he sticks a note on his mirror where he will see it each morning. In a similar vein, students preparing for--or taking--an exam will make judgments about the relative difficulty of the material to be covered, and use this to choose study strategies, or which questions to answer first. Not surprisingly, in these cases, accuracy of metacognitive judgments correlates with academic performance. Thus, understanding human metacognition has been an important part of work on automated tutoring systems, and has led to the design of methods for using computer assistants to help improve human metacognition.

However, there has also been growing interest in trying to create, and investigate the potential benefits of, intelligent systems which are themselves metacognitive. It is thought that systems that monitor themselves, and proactively respond to problems, can perform better, for longer, with less need for (expensive) human intervention. Thus has IBM widely publicized their "autonomic computing" initiative, aimed at developing computers which are (in their words) self-aware, self-configuring, self-optimizing, self-healing, self-protecting, and self-adapting. More ambitiously, it is hypothesized that metacognitive awareness may be one of the keys to developing truly intelligent artificial systems. DARPA's recent Cognitive Information Processing Technology initiative, for instance, foregrounds reflection (along with reaction and deliberation) as one of the three pillars required for flexible, robust AI systems.

On the other side of the coin, it has also been established that metacognition can actually interfere with performance. Metacognition is no panacea, and therefore one of the issues that require further inquiry is the scope and limits of its usefulness. Furthermore many researchers still argue over the most useful definition of metacognition. For instance, is it useful to distinguish cognition about cognition from such things as monitoring the outcomes of one's own actions in the world?

The symposium is intended to bring together researchers from computer science, cognitive science, linguistics, psychology, philosophy, etc., interested in exploring, reporting on methods for, and eval‎uating the worth of, implementing metacognition in AI systems. Possible topics include:

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-Reports on implemented metacognitive systems
-Computationally tractable models of human metacognition
-The relation of recent work on metacognition in computation to work on such topics  as reflection, control of reasoning, and allocation of computational resources
-Methods for eval‎uating metacognitive systems
-Methods for implementing metacognition in heterogeneous systems
-Eval‎uation of different architectures for implementing metacognition
-Domains and/or problems for which metacognition is useful/essential
-Formal and/or knowledge-representation issues in metacognition
-The limits of metacognition (including cost/benefit analyses)

성균관대 이정모 교수님의 홈피에서 가져왔습니다.