### Abstract

Hypothetical reasoning is a useful knowledge-processing framework applicable to many problems including system diagnosis, design, etc. However, due to its non-monotonic inference nature, it takes exponential computation-time to find a solution hypotheses-set to prove a given goal. This is also true for cost-based hypothetical reasoning to find an optimal solution with minimal cost. As for the hypothetical reasoning expressed in propositional logic, since it is easily transformed into 0-I integer programming problem, a polynomial-time method finding a near-optimal solution has been developed so far by employing an approximate solution method of 0-1 integer programming called the Pivot and Complement method. Also, by reforming this method, a network-based inference mechanism called Networked Bubble Propagation (NBP) has been invented by the authors, which allows even faster inference. More importantly, a network-based approach is meaningful, for its potential of being developed extending to a broader framework of knowledge processing. In this paper, we extend the NBP method to dealing with the hypothetical reasoning expressed with predicate logic. By constructing a series of knowledge networks, to which the NBP method is applied, in a stepwise manner according to a top-clown control, we avoid the excessive expansion of the network size. As a result, we can achieve a polynomial time inference for computing a hoax-optimal solution for the cost-based hypothetical reasoning in predicate-logic knowledge.

Original language | English |
---|---|

Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |

Publisher | Springer Verlag |

Pages | 375-387 |

Number of pages | 13 |

Volume | 1081 |

ISBN (Print) | 3540612912, 9783540612919 |

DOIs | |

Publication status | Published - 1996 |

Externally published | Yes |

Event | 11th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 1996 - Toronto, Canada Duration: 1996 May 21 → 1996 May 24 |

### Publication series

Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|

Volume | 1081 |

ISSN (Print) | 03029743 |

ISSN (Electronic) | 16113349 |

### Other

Other | 11th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 1996 |
---|---|

Country | Canada |

City | Toronto |

Period | 96/5/21 → 96/5/24 |

### Fingerprint

### Keywords

- Knowledge representation
- Reasoning (abduction)
- Search

### ASJC Scopus subject areas

- Computer Science(all)
- Theoretical Computer Science

### Cite this

*Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)*(Vol. 1081, pp. 375-387). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1081). Springer Verlag. https://doi.org/10.1007/3-540-61291-2_66