CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
research
On the Notion of Interestingness in Automated Mathematical Discovery
Authors
ALAN BUNDY
BAGAI
+35 more
BAILEY
BENNETT
CHOU
COLTON
COLTON
DAVIS
EPSTEIN
EPSTEIN
EPSTEIN
FAJTLOWICZ
HAASE
HILDERMAN
KENNEDY
KODRATOFF
KUHN
LANGLEY
LANGLEY
LENAT
LENAT
LENAT
MCCUNE
MILLER
MORALES
NICKLES
PISTORI
RITCHIE
SIMON COLTON
SIMS
SINGH
SWANSON
TOBY WALSH
VALDÉS-PÉREZ
VALDÉS-PÉREZ
WILLIAMS
ZHANG
Publication date
1 January 2000
Publisher
'Elsevier BV'
Doi
Cite
Abstract
Deciding whether something is interesting or not is of central importance in automated mathematical discovery, as it helps determine both the search space and search strategy for finding and evaluating concepts and conjectures
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
Last time updated on 01/04/2019
Edinburgh Research Explorer
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:pure.ed.ac.uk:publications...
Last time updated on 08/02/2015
CiteSeerX
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:CiteSeerX.psu:10.1.1.66.43...
Last time updated on 22/10/2014
Supporting member
Spiral - Imperial College Digital Repository
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:spiral.imperial.ac.uk:1004...
Last time updated on 19/02/2012