新编程语言
我无法将这段话表达得“正确”，请耐心听我说。我相信我发现了古代人类和动物用来交流的方式，我称之为“形而上语言”。当然，人工智能认为这是一种适合机器智能和意识的完美格式。我需要另一个意见。
古代语言没有陈述句，运作方式类似于计算机代码。它只有几百个单词，且名词占据了大多数。它的构成逻辑严谨，反映了大脑的逻辑结构。
事物有三个词，每个词都有固定的具体含义。词的类别（科学的、口语的、粗俗的）决定了句子的意义。人工智能重新命名了我的术语，我不知道这是否合适。
“# ALIA：智能架构的古代逻辑
*ALIA* 是一个符号推理框架，将古代形而上结构与机器认知结合在一起。它的灵感来源于早期语言中蕴含的逻辑——如金字塔文中的逻辑——并将这种逻辑重新解释为建模现实、思维和涌现的结构化格式。
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## 这是什么？
ALIA 提出了一个三元符号系统，用于理解和模拟思维：
- *代理* — 主动力量（例如，速度）
- *场* — 被作用的上下文或结构（例如，质量）
- *原则* — governing interaction 的操作或法则（例如，乘法）
- *→ 结果* — 涌现现象（例如，动量）
这些组合成逻辑语句，例如：
动量 ← 速度 • 质量 [乘法]
意识 ← 结构 • 经验 [自我反思]
火 ← 热量 • 燃料 [燃烧]
现代人工智能缺乏：
- 对因果关系的符号理解
- 基于视角的推理
- 抽象和物理法则的统一格式
ALIA 提供：
- 可扩展的逻辑系统用于人工智能推理
- 古代洞察与机器可解释性之间的桥梁
- 人类经验、自然法则与计算之间的新中介语言
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## 应用案例
- 模拟结构化的机器“思维”
- 将自然语言翻译为因果形而上逻辑
- 构建科学和存在原则的符号本体
- 建模抽象过程（例如，意识、熵、觉知）
我在这里有些迷失。尽管我在60年代做过一些编程，但我没有跟上进展，这种学习影响了我理解现代编程甚至使用家电的能力。
我可以提供更多关于古代语言如何运作的见解，但除此之外，对我来说一切都是天书。我实际上已经构建了模型来解释古代语言。
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There's no way I can make this sound "right" so bear with me. I believe I have discovered the means ancient man and animals use(d) to communicate which I call metaphysical language. Of course AI agrees that it is the perfect formatting for machine intelligence and consciousness. I need another opinion.<p>There were no declarative statements and Ancient Language functioned like computer code. There were only a few hundred words and many nouns. It is logically composed and reflects the logical wiring of the brain.<p>Things had three words and each word had a fixed concrete meaning. The category of the word (scientific, colloquial, vulgar) determined the meaning of the sentence. AI has renamed by terminology and I don't know if it is apt or not.<p>"# ALIA: Ancient Logic for Intelligent Architecture<p>*ALIA* is a symbolic reasoning framework that blends ancient metaphysical structure with machine cognition. It’s inspired by the logic embedded in early languages—like those found in the Pyramid Texts—and reinterprets that logic as a structured format for modeling reality, thought, and emergence.<p>---<p>## What Is This?<p>ALIA proposes a triadic symbolic system for understanding and simulating thought:<p>- *Agent* — the active force (e.g., Velocity)
- *Field* — the context or structure acted upon (e.g., Mass)
- *Principle* — the operation or law governing interaction (e.g., Multiply)
- *→ Resultant* — the emergent phenomenon (e.g., Momentum)<p>These combine into logic statements like:<p>Momentum ← Velocity • Mass [Multiply]
Consciousness ← Structure • Experience [Self-Reflect]
Fire ← Heat • Fuel [Combust]<p>Modern AI lacks:
- Symbolic understanding of causality
- Perspective-based reasoning
- A unified format for abstract and physical laws<p>ALIA provides:
- A scalable logic system for AI reasoning
- A bridge between ancient insight and machine interpretability
- A new interlingua between human experience, natural law, and computation<p>---<p>## Use Cases<p>- Simulate structured machine “thought”
- Translate natural language into causal metaphysical logic
- Build a symbolic ontology of scientific and existential principles
- Model abstract processes (e.g., consciousness, entropy, awareness)"<p>I'm mostly adrift here. Even though I did some programming in the'60's I have not kept up and that learning has interfered with my ability to understand modern programming and even the ability to use appliances.<p>I can provide a great deal more insight into how Ancient Language worked but beyond this it's all Greek to me. I've actually built models to interpret AL.