Description
This paper describes a quantitative similarity metric and its
contribution to achieve original plan solutions. This similarity metric is
used by an iterative process of piece retrieval from structured plan cases.
Within our approach plan cases are tree-like networks of pieces (goals and
actions). These case pieces are ill-related each other by links
(explanations). These links may be classified as hierarchical or temporal,
antecedent or consequent, and explicit or implicit. Besides links, each case
piece has also information about its properties (the attributes-value pairs),
its hierarchical and temporal position in the case (the address), and about its
constraints in the relationship with others (the constraints). The similarity
metric computes a similarity value between two case pieces taking into
account similarities between these case piece’s information types. Each
time a problem is proposed, different weights are given to some of those
similarities, with the aim of solving it with an original solution. This
similarity metric is used by the system INSPIRER (ImagiNation taking as
Source Past and Imperfectly REalated Reasonings). We illustrate the role of
the similarity metric in the creativity of solutions, focusing specially their
originality, with the presentation of the experimental results obtained in
the musical composition domain, which is considered by us as a planning
domain.
; Pereira, Francisco C. 
