#llm #reasoning #neuroscience Created at 101223 # [Anonymous feedback](https://www.admonymous.co/louis030195) # [[Epistemic status]] #shower-thought Last modified date: 101223 Commit: 0 # Related # LLM cognitive framework - CoALA framework - Brain ![[Pasted image 20231210121921.png]] Different parts of the human brain that could correspond to the CoALA framework include: - **Procedural Memory**: Similar to the basal ganglia in the human brain, which is involved in the control of habitual or automatic actions. - **Semantic Memory**: Mirrors the function of the temporal lobes, particularly the left inferior frontal gyrus, which processes factual information. - **Episodic Memory**: Can be compared to the hippocampus and surrounding medial temporal lobe structures, crucial for the encoding and retrieval of personal experiences. - **Decision Procedure**: Reflects the functions of the prefrontal cortex, where complex decision-making and problem-solving occur. - **Reasoning**: Involves the frontal lobes, which are responsible for higher-order cognitive processes and executive functions. This is a simplified comparison, as human brain regions are highly interconnected and support a wide range of overlapping functions. ## Implementation In the CoALA framework, specific tools that might be used for each component could include: - **Procedural Memory**: TensorFlow or PyTorch for the LLM component, enabling machine learning and data processing. - **Semantic Memory**: Databases like PostgreSQL for structured storage and retrieval of factual data. - **Episodic Memory**: NoSQL databases like MongoDB that can handle varied data formats which might be analogous to personal experiences. - **Decision Procedure**: Decision tree algorithms or rule-based systems implemented in a language like Python for structured decision-making processes. - **Reasoning**: Inference engines or logic programming tools, like Prolog, could be used to simulate the reasoning process.