Extending Analogical Generalization with Near-Misses

Authors: Matthew McLure, Scott Friedman, Kenneth Forbus

AAAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental We show that ALIGN out-performs analogical generalization on two perceptual data sets: (1) hand-drawn sketches; and (2) geospatial concepts from strategy-game maps.
Researcher Affiliation Collaboration Matthew D. Mc Lure Qualitative Reasoning Group Northwestern University 2133 Sheridan Road Evanston, IL, 60208, USA mclure@u.northwestern.edu Scott E. Friedman Smart Information Flow Technologies (SIFT) Minneapolis, MN, USA friedman@sift.net Kenneth D. Forbus Qualitative Reasoning Group Northwestern University 2133 Sheridan Road Evanston, IL, 60608, USA forbus@northwestern.edu
Pseudocode Yes Figure 5: ALIGN s top-level training and testing procedures.
Open Source Code No The paper does not provide any concrete access to source code (specific repository link, explicit code release statement, or code in supplementary materials) for the methodology described.
Open Datasets No The paper does not provide concrete access information (specific link, DOI, repository name, formal citation with authors/year, or reference to established benchmark datasets) for a publicly available or open dataset. It mentions using "hand-drawn sketches" and data from "Freeciv map" which appear to be collected for this work but no public access is provided.
Dataset Splits Yes Performance was evaluated via 4-fold cross-validation. Statistical significance was measured using a one-tailed, paired t-test. [...] 10-fold cross-validation was used.
Hardware Specification No The paper does not provide specific hardware details (exact GPU/CPU models, processor types with speeds, memory amounts, or detailed computer specifications) used for running its experiments.
Software Dependencies No The paper does not provide specific ancillary software details (e.g., library or solver names with version numbers like Python 3.8, CPLEX 12.4) needed to replicate the experiment.
Experiment Setup Yes The similarity threshold for ALIGN was set to 0.8. This was also the assimilation threshold used for the Prototypes condition.