Abstract
Input-Output Agent Modelling (IOAM) is an approach to modelling an agent in terms of relationships. between the inputs and outputs of the cognitive system. This approach, together with a leading inductive learning algorithm, C4.5, has been adopted to build a subtraction skill modeller, C4.5-IOAM. It models agents' competencies with a set of decision trees. C4.5-IOAM makes no prediction when predictions from different decision trees are contradictory. This paper proposes three techniques for resolving such situations. Two techniques involve selecting the more reliable prediction from a set of competing predictions using a tree quality measure and a leaf quality measure. The other technique merges multiple decision trees into a single tree. This has the additional advantage of producing more comprehensible models. Experimental results, in the domain of modelling elementary subtraction skills, showed that the tree quality and the leaf quality of a decision path provided valuable references for resolving contradicting predictions and a single tree model representation performed nearly equally well to the multi-tree model representation.
Original language | English |
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Title of host publication | Advanced Topics in Artificial Intelligence - 10th Australian Joint Conference on Artificial Intelligence, AI 1997, Proceedings |
Editors | Abdul Sattar |
Publisher | Springer |
Pages | 349-358 |
Number of pages | 10 |
ISBN (Print) | 3540637974, 9783540637974 |
Publication status | Published - 1 Jan 1997 |
Externally published | Yes |
Event | Australasian Joint Conference on Artificial Intelligence 1997 - Perth, Australia Duration: 30 Nov 1997 → 4 Dec 1997 Conference number: 10th https://link.springer.com/book/10.1007/3-540-63797-4 (Proceedings) https://www.aaai.org/Conferences/AAAI/aaai97.php#:~:text=The%20Fourteenth%20National%20Conference%20on%20Artificial%20Intelligence%20(AAAI%2D97),center%20in%20Providence%2C%20Rhode%20Island.&text=The%20Hall%20of%20Champions%20was,of%20classic%20games%20of%20strategy. |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 1342 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | Australasian Joint Conference on Artificial Intelligence 1997 |
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Abbreviated title | AI 1997 |
Country/Territory | Australia |
City | Perth |
Period | 30/11/97 → 4/12/97 |
Internet address |
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