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From Synapses to Rules
Knowledge representation and reasoning methods in artificial intelligence almost exclusively rely on symbol-oriented methods: Statements describing aspects and objects of the system to be modelled are represented through symbols (mostly text strings), and these symbols are stored in a computer, and manipulated according to the inference rules prescribed by the reasoning method. This works reasonably well in situations where knowledge is available in explicit form, typically through experts ordoi:10.1007/978-1-4615-0705-5_14 fatcat:yivvfaup5zbdpcrau5uxenfoo4