一元模糊事件PMJ模型研究

doi:10.3969/j.issn.1001-2400.2016.01.032

Abstract

Abstract:

Aiming at the flaw of the PMJ cognitive computation model and discovering the law of cognition, the single fuzzy cognitive unit event PMJ cognitive computation model is proposed. The correlation selection device is added in perception representation, the long-term memory bank and short-term memory bank are designed in memory representation, the uncompleted work is mapped as the goal in judgment representation, the input data of perception representation is the single fuzzy cognitive unit event, the single fuzzy cognitive unit event PMJ cognitive computation model fulfills the cognitive mechanisms such as selected attention, long-term memory,short-term memory,recalling and forgetting. The schema memory experimental results demonstrate that the rise in long-term memory bank capacity enlarges the completion rate of the task when forgetting occurs, the variation in long-term memory bank capacity does not enlarge the completion rate of the task when no forgetting does not occur, and the variation in short-term memory bank length does not change the completion rate of the task whether forgetting occurs or not. So the single fuzzy cognitive unit event PMJ cognitive computation model corrects the flaw of PMJ cognitive computation model and discovers the cognitive law that the long-term memory bank capacity and short-term memory bank length influence the completion rate of the task, so that it is an optimal cognitive computation model.

Key words: cognitive computation, brain models, single fuzzy cognitive unit event, memory architecture, cognitive systems

CLC Number:

TP181

FENG Kang. Research on the single fuzzy cognitive unit event PMJ model[J].J4, 2016, 43(1): 180-188.

References

［1］ ALIVISATOS A P, CHUN M, CHURCH G M, et al. The Brain Activity Map［J］. Science, 2013, 339(6125): 1284-1285.
［2］冯康, 姚南生. 基于一元事件的认知模型［J］. 模式识别与人工智能, 2012, 25(1): 172-180.
FENG Kang, YAO Nansheng. Cognitive Model Based on Single Unit Event［J］. Pattern Recognition and Artificial Intelligence, 2012, 25(1): 172-180.
［3］王国胤,许昌林, 张清华, 等. 双向认知计算的p阶正态云模型递归定义及分析［J］. 计算机学报, 2013, 36(11): 2316-2329.
WANG Guoyin, XU Changlin, ZHANG Qinghua, et al. P-order Normal Cloud Model Recursive Definition and Analysis of Bidirectional Cognitive Computing［J］. Chinese Journal of Computers, 2013, 36(11): 2316-2329.
［4］ FU X, CAI L, LIU Y, et al. A computational Cognition Model of Perception, Memory, and Judgment［J］. Science in China Series F: Information Sciences, 2014, 57(3): 1-15.
［5］ Wang X, JIA J, CAI L. Affective Image Adjustment with a Single Word［J］. The Visual Computer, 2013, 29(11): 1121-1133.
［6］李敏宁, 张巧, 赵劼, 等. 视觉注意机制下的三维重建技术的改进［J］. 西安电子科技大学学报, 2014, 42(5): 192-196.
LI Minning, ZHANG Qiao, ZHAO Jie, et al. Improvement on Three-dimensional Reconstruction of the Attention Mechanism［J］. Journal of Xidian University, 2014, 42(5): 192-196.
［7］ LI Y, SHENG B, MA L Z, et al. Temporally Coherent Video Saliency Using Regional Dynamic Contrast［J］. IEEE Transactions on Circuits and Systems for Video Technology, 2013, 23(12): 2067-2076.
［8］ DAFFNER K R, ALPERIN B R, MOTT K K, et al. Age-related Differences in the Automatic Processing of Single Letters: Implications for Selective Attention［J］. Neuro Report, 2014, 25(2): 77-82.
［9］ COTE I, ROULEAU N, MACOIR J. New Word Acquisition in Children: Examining the Contribution of Verbal Short-term Memory to Lexical and Semantic Levels of Learning［J］. Applied Cognitive Psychology, 2014, 28(1): 104-114.
［10］ LI Q, ROTHKEGEL M, XIAO Z C, et al. Making Synapses Strong: Metaplasticity Prolongs Associativity of Long-term Memory by Switching Synaptic Tag Mechanisms［J］. Cerebral Cortex, 2014, 24(2): 353-363.
［11］ ULLMAN H, ALMEIDA R, KLINGBERG T. Structural Maturation and Brain Activity Predict Future Working Memory Capacity During Childhood Development［J］. The Journal of Neuroscience, 2014, 34(5): 1592-1598.
［12］冯康. 基于一元Fuzzy事件的大脑存储模型［J］. 计算机工程与科学, 2013, 35(7): 31-38.
FENG Kang. Brain Storage Model Based on Single Fuzzy Cognitive Unit Event［J］. Computer Engineering and Science, 2013, 35(7): 31-38.
［13］ PLANT K L, STANTON N A. The Explanatory Power of Schema Theory: Theoretical Foundations and Future Applications In Ergonomics［J］. Ergonomics, 2013, 56(1): 1-15.
［14］ CEDRIC T A, GEOFFROY B, CEDRIC A B, et al. Processing Speed and Executive Functions in Cognitive Aging: How to Disentangle Their Mutual Relationship?［J］. Brain and Cognition, 2012, 79(1):1-11.

Research on the single fuzzy cognitive unit event PMJ model

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 1

Metrics

Comments

Recommended 10