Bottom-up algorithms or reasonng begin with the raw data combining individual items or units and successively constructing more complex ones from them. For example, in vision one might move from edge detection, to boundaries of shapes, to object recognition. In natural language processing one might start by combining succesive words into small phrases, and then see how these make more complex clauses or sentences.
Used in Chap. 3: page 28; Chap. 12: page 201; Chap. 13: page 207; Chap. 14: page 228
Also known as antecedent-driven reasoning, bottom-up algorithm, consequent-driven reasoning, bottom-up