Differences
This shows you the differences between two versions of the page.
| Next revision | Previous revision |
| public:t-713-mers:mers-24:anns [2024/08/20 12:30] – created thorisson | public:t-713-mers:mers-24:anns [2024/08/20 12:38] (current) – [ANNs & Reasoning] thorisson |
|---|
| \\ | \\ |
| |
| ====ANNs: What They Can Do==== | |
| | | | | |
| |
| \\ | |
| |
| ====ANNs: Key Principles of Operation & Use==== | ====ANNs: Key Principles of Operation & Use==== |
| | Reasoning Requires Selection | Selecting relevant background assumptions is part of any successful reasoning process. Because ANNs don't really have a "short-term memory" their selection of relevant data - if we could call it that - is based on a-priori extracted patterns, rather than patterns that are relevant to the unique situation. | | | Reasoning Requires Selection | Selecting relevant background assumptions is part of any successful reasoning process. Because ANNs don't really have a "short-term memory" their selection of relevant data - if we could call it that - is based on a-priori extracted patterns, rather than patterns that are relevant to the unique situation. | |
| | Reasoning Requires Recursion | When selecting background assumptions, for instance, sometimes reasoning must be applied to their selection, in a recursive step. ANNs cannot do this based on the needs of the situation, only if it has been trained in this very particular way for this particular data. | | | Reasoning Requires Recursion | When selecting background assumptions, for instance, sometimes reasoning must be applied to their selection, in a recursive step. ANNs cannot do this based on the needs of the situation, only if it has been trained in this very particular way for this particular data. | |
| | | Reasoning Requires Explanation | Abduction and deduction proceeds by identifying //particular, relevant// causal relations and following their logical conclusions - i.e. accepting their implications. For any event to be understood, a chain of cause-effect events must be identified. This requires segregating specific causes from specific effects, which ANNs cannot do because their knowledge is not represented in a modular (compositional) way. | |
| | | Explanation Requires Reflection | Segregating specific causes from specific effects that have been learned can only be done through introspection over the content of what has been learned. In other words, the knowledge must be compositional for reflection to be possible. This is therefore precluded in ANNs. | |
| |
| \\ | \\ |
