Zoea -- Composable Inductive Programming Without Limits
–arXiv.org Artificial Intelligence
The abstraction levels represent a general progression from the test cases through available and derived values to partial and complete solutions. The abstraction levels include: - test cases; - input and output elements; - derived values (symbolic and numeric); - code fragments; - target values; - case solutions; - case set solutions; - program solutions; - solution code. The data on the blackboard represents a set of more or less promising solution fragments at different stages of identification, characterisation and elaboration. It is worth noting that progression from test cases to solution code is not a strictly linear process. Instead knowledge sources respond to changes at one or more specific abstraction levels to produce, enhance or remove elements on different levels. The blackboard model allows this to happen in more or less any order.
arXiv.org Artificial Intelligence
Nov-13-2019
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- North America > United States > California > San Francisco County > San Francisco (0.04)
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- Research Report (1.00)
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