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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Journal of automated reasoning 17 (1996), S. 325-347 
    ISSN: 1573-0670
    Keywords: automated reasoning ; automated geometry theorem proving ; area method ; multiple proof ; shortest proof ; 68T15
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract In this series of papers, we discuss how to use a fixed set of high level geometry lemmas or rules related to geometric invariants, such as area, full-angle, etc., to produce short and human-readable proofs in geometry, especially to produce multiple and shortest proofs of a given geometry theorem. These rules are proved to be much more effective and concise than the rules based on triangle congruence used in related work before. The success of our approach is partially due to a skillful selection of geometric invariants and the related rules. Control and search strategies are proposed and experimented with to enhance the efficiency of the pover. In part I of this series, the high level geometry lemmas are about area and the Ceva-Menelaus configurations.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Journal of automated reasoning 17 (1996), S. 349-370 
    ISSN: 1573-0670
    Keywords: automated reasoning ; automated geometry theorem proving ; method based on angle ; forward chaining ; backward chaining
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract We present a set of rules based on full-angles as the basis of automated geometry theorem proving. We extend the idea of eliminating variables and points to the idea of eliminating lines. We also discuss how to combine the forward chaining and backward chaining to achieve higher efficiency. The prover based on the full-angle method has been used to produce short and elegant proofs for more than one hundred difficult geometry theorems. The proofs of many of those theorems produced by our previous area method are relatively long.
    Type of Medium: Electronic Resource
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