Both sides previous revisionPrevious revisionNext revision | Previous revision |
public:t-720-atai:atai-22:knowledge_representation [2022/10/30 20:35] – [Symbols, Models, Syntax] thorisson | public:t-720-atai:atai-22:knowledge_representation [2024/11/20 12:02] (current) – [Symbols, Models, Syntax] thorisson |
---|
==== Symbols, Models, Syntax ==== | ==== Symbols, Models, Syntax ==== |
| What Now? | Here comes some "glue" for connecting the above concepts, ideas, and claims in a way that unifies it into a coherent story that explains intelligence. | | | What Now? | Here comes some "glue" for connecting the above concepts, ideas, and claims in a way that unifies it into a coherent story that explains intelligence. | |
| \\ \\ Knowledge | Knowledge is "actionable information" - information structures that can be used to //do stuff//, including \\ (a) predict (deduce), \\ (b) derive potential causes (abduce - like Sherlock Holmes does), \\ ( c) explain, and \\ (d) re-create (like Einstein did with <m>E=mc^2</m>). | | | \\ \\ Knowledge | Knowledge is "actionable information" - information structures that can be used to //do stuff//, including \\ (a) predict (mostly deduce, but also abduce), \\ (b) derive potential causes (abduce - like Sherlock Holmes does), \\ ( c) explain (abduce), and \\ (d) re-create (like Einstein did with E=mc<sup>2</sup> and the Sims do in software). | |
| \\ Knowledge \\ = \\ Models | Sets of models allow a thinking agent to do the above, by \\ (a) finding the relevant models for anything (given a certain situation and active goals), \\ (b) apply them according to the goals to derive predictions, \\ ( c) selecting the right actions based on these predictions such that the goals can be achieved, and \\ (d) monitoring the outcome. \\ (Learning then results from correcting the models that predicted incorrectly.) | | | \\ Knowledge \\ = \\ Models | Sets of models allow a thinking agent to do the above, by \\ (a) finding the relevant models for anything (given a certain situation and active goals), \\ (b) apply them according to the goals to derive predictions, \\ ( c) selecting the right actions based on these predictions such that the goals can be achieved, and \\ (d) monitoring the outcome. \\ (Learning then results from correcting the models that predicted incorrectly.) | |
| \\ What's Contained \\ in Models? | To work as building blokcs for knowledge, models must, on their own or in sets, capture in some way: \\ - Patterns \\ - Relations \\ - Volitional acts \\ - Causal chains | | | \\ What's Contained \\ in Models? | To work as building blokcs for knowledge, models must, on their own or in sets, capture in some way: \\ - Patterns \\ - Relations \\ - Volitional acts \\ - Causal chains | |