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相关概念视频

Cognitive Learning01:21

Cognitive Learning

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
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Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

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Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
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Long-Term Memory01:18

Long-Term Memory

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Long-term memory is a relatively permanent type of memory, capable of storing vast amounts of information over extended periods. Its storage capacity is generally considered unlimited.
Long-term memory can be categorized into two primary types: explicit and implicit memory. Explicit memory, also known as declarative memory, involves the conscious recollection of information that we deliberately try to remember, recall, and articulate. This type of memory encompasses specific facts, events, and...
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System of Memory01:23

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Memory is categorized into three major systems: sensory memory, short-term memory (STM), and long-term memory (LTM). These systems differ in their capacity and the duration for which they can hold information. Sensory memory captures raw sensory input from the environment, holding it for just a few seconds or less. For example, on hearing a brief, loud sound, like a car horn honking, the sound seems to linger in the mind for a moment even after it stops. This is an instance of sensory memory...
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Long-term Potentiation01:35

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Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
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Memory is the retention of information or experiences over time, facilitated through three main processes: encoding, storage, and retrieval. Encoding is the process of inputting information into the memory system. For instance, when listening to a lecture, watching a play, reading a book, or having a conversation, the brain is actively encoding information. This initial stage involves transforming sensory input into a form that can be processed and stored by the brain. Various factors, such as...
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使用循环记忆网络进行终身学习.

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    此摘要是机器生成的。

    本研究介绍了循环记忆网络 (CMN),以解决终身学习代理人的前级遗忘问题. 通过分离短期和长期记忆,CMN可以实现持续学习,从而促进知识传输和积累,而无需数据存储.

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    科学领域:

    • 人工智能的人工智能
    • 机器学习 机器学习
    • 神经科学是一个神经科学.

    背景情况:

    • 终身学习对于通用人工智能至关重要.
    • 现有的终身学习方法主要针对灾难性遗忘.
    • 没有数据的框架面临着前进的遗忘,保留过去的知识阻碍了新的学习.

    研究的目的:

    • 探索知识可转移的终身学习,无需历史数据存储或重大计算开销.
    • 解决终身学习中前级遗忘的根本问题.
    • 提出一个新的框架,灵感来自于互补学习理论.

    主要方法:

    • 拟议的循环记忆网络 (CMN) 具有单独的短期和长期记忆网络.
    • 实现了一个传输单元,用于在内存网络之间传输知识.
    • 引入了用于知识积累的记忆巩固机制.
    • 在各种基准上评估CMN,包括任务相关,任务冲突,类增量和跨域数据集.

    主要成果:

    • CMN 有效地减轻了前级遗忘.
    • 该框架证明了成功的知识转移和积累.
    • 绩效在各种终身学习场景中得到验证.
    • 废弃性研究证实了单个框架组件的有效性.

    结论:

    • 循环记忆网络为终身学习中的前级遗忘提供了一个强大的解决方案.
    • 拟议的架构能够实现持续的学习,同时促进知识传输和防止概念混.
    • 这项工作通过提高终身学习能力,促进了人工通用智能的发展.