Scientific discovery: computational explorations of the creative process
Scientific discovery: computational explorations of the creative process
Discrete Mathematics - First Japan Conference on Graph Theory and Applications
Conflict Resolution as Discovery in Particle Physics
Machine Learning
Artificial intelligence and molecular biology
Artificial intelligence and molecular biology
Machine discovery in chemistry: new results
Artificial Intelligence
Applications of machine learning and rule induction
Communications of the ACM
Artificial intelligence and scientific method
Artificial intelligence and scientific method
Bayesian classification (AutoClass): theory and results
Advances in knowledge discovery and data mining
Knowledge-Based Learning in Exploratory Science: Learning Rules to Predict Rodent Carcinogenicity
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Chemical Discovery as Belief Revision
Machine Learning
An Integrated Framework for Empirical Discovery
Machine Learning
Automated theory formation in mathematics
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Incremental discovery of hidden structure: applications in theory of elementary particles
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Scalable Model for Extensional and Intensional Descriptions of Unclassified Data
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
Mining Sequence Patterns from Wind Tunnel Experimental Data for Flight Control
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
DS '02 Proceedings of the 5th International Conference on Discovery Science
Foundations of Designing Computational Knowledge Discovery Processes
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Designing Views in HypothesisCreator: System for Assisting in Discovery
DS '99 Proceedings of the Second International Conference on Discovery Science
Computational Revision of Quantitative Scientific Models
DS '01 Proceedings of the 4th International Conference on Discovery Science
Automated Formulation of Reactions and Pathways in Nuclear Astrophysics: New Results
DS '01 Proceedings of the 4th International Conference on Discovery Science
VML: A View Modeling Language for Computational Knowledge Discovery
DS '01 Proceedings of the 4th International Conference on Discovery Science
Quantitative Revision of Scientific Models
Computational Discovery of Scientific Knowledge
Computational Discovery in Pure Mathematics
Computational Discovery of Scientific Knowledge
Discovering theorems in game theory: Two-person games with unique pure Nash equilibrium payoffs
Artificial Intelligence
Scientific discovery: a view from the trenches
DS'06 Proceedings of the 9th international conference on Discovery Science
A my page service realizing method by using market expectation engine
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
| Hi-index | 0.00 |
In this paper, we review AI research on computational discovery and its recent application to the discovery of new scientific knowledge. We characterize five historical stages of the scientific discovery process, which we use as an organizational framework in describing applications. We also identify five distinct steps during which developers or users can influence the behavior of a computational discovery system. Rather than criticizing such intervention, as done in the past, we recommend it as the preferred approach to using discovery software. As evidence for the advantages of such human-computer cooperation, we report seven examples of novel, computer-aided discoveries that have appeared in the scientific literature, along with the role that humans played in each case. We close by recommending that future systems provide more explicit support for human intervention in the discovery process.