O'Donoghue, Diarmuid and Crean, Brian P.
(2002)
Searching for Serendipitous Analogies.
In: European Conference on Artificial Intelligence ECAI - Workshop on Creative Systems, 21-26 July 2002, Lyon, France.
Abstract
Analogical reasoning is an acknowledged process
behind many episodes of creativity. Typically, the creator chances
upon information unrelated to the given problem – and solves the
problem by analogy with this accidental source of inspiration.
Current models of analogical retrieval do not explain how
semantically unrelated source domains are retrieved. We present
the RADAR algorithm that maps domains into a separate structure
space, where domains with similar topological attributes are colocated.
Each axis in structure space records the occurrence
frequency of that feature in each domain. Nearest neighbour
retrieval in structure space identifies structurally similar domains -
from a diversity of semantic backgrounds. Structure based retrieval
opens the possibility for creating an analogy model with far greater
creativity potential than human reasoning.
Item Type: |
Conference or Workshop Item
(Paper)
|
Keywords: |
Analogical reasoning; RADAR algorithm; |
Academic Unit: |
Faculty of Science and Engineering > Computer Science |
Item ID: |
10352 |
Depositing User: |
Dr. Diarmuid O'Donoghue
|
Date Deposited: |
03 Jan 2019 16:26 |
Refereed: |
Yes |
URI: |
|
Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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