Research & Decision Science
Research built into the product
Forecasting, optimization and applied AI for real decisions under real constraints.
- indexed research outputs
- 1,181indexed research outputs
- combined citations
- 53,485combined citations
- Clarivate Highly Cited Papers in forecasting
- Top 1%Clarivate Highly Cited Papers in forecasting
Scientific foundations
From research result to product behavior
Probabilistic forecasts, coherent hierarchies, constraint-aware recommendations and governed human intervention.
Research → product
| Research area | Enterprise problem | RabbitHawk capability |
|---|---|---|
| Hierarchical forecasting | Local forecasts do not aggregate coherently across the enterprise | Reconciled forecasts across every level |
| Probabilistic forecasting | Point forecasts hide risk | Full predictive distributions, intervals and scenario ranges |
| Optimization | Forecasts do not tell teams what to do | Constraint-aware recommendations |
| Agentic AI | Context is trapped in emails and notes | Adaptive elicitation, semantic routing and governed context workflows |
| Human-in-the-loop AI | Automation without trust creates resistance | Belief review, governed publication and intervention lineage |
| Alignment science | Teams optimize against conflicting goals | Goals & Guardrails within Forecasting & Optimization |
Hierarchical forecasting
Local forecasts do not aggregate coherently across the enterprise
Reconciled forecasts across every level
Probabilistic forecasting
Point forecasts hide risk
Full predictive distributions, intervals and scenario ranges
Optimization
Forecasts do not tell teams what to do
Constraint-aware recommendations
Agentic AI
Context is trapped in emails and notes
Adaptive elicitation, semantic routing and governed context workflows
Human-in-the-loop AI
Automation without trust creates resistance
Belief review, governed publication and intervention lineage
Alignment science
Teams optimize against conflicting goals
Goals & Guardrails within Forecasting & Optimization
Research database
Search the indexed record by title, author, venue, category or year. Records include peer-reviewed work, preprints, books, chapters and other scholarly outputs.
1,181 results · page 95 of 99
1992
Introduction to IND version 2.1 and Recursive Partitioning
W Buntine, R Caruana
NASA Ames Research Center, Moffett Field, CA, 1992
Research58 citationsQuery restricted bottom-up evaluation of normal logic programs.
DB Kemp, PJ Stuckey, D Srivastava
JICSLP, 288-302, 1992
Research34 citationsTransforming normal logic programs to constraint logic programs
K Kanchanasut, PJ Stuckey
Theoretical computer science 105 (1), 27-56, 1992
Machine Learning11 citationsAditi-Prolog language manual
J Harland, DB Kemp, TS Leask, K Ramamohanarao, JA Shepherd, ...
Deductive Database Group, The University of Melbourne, 1992
Research5 citationsAditi users' guide
J Harland, DB Kemp, TS Leask, K Ramamohanarao, JA Shepherd, ...
Deductive Database Group, The University of Melbourne, 1992
Research5 citationsLearning classification
W Buntine
Artificial Intelligence Frontiers in Statistics: Al and Statistics III 3, 182, 1992
Research- Research
1991
- Bayesian Methods1,238 citations
- Bayesian Methods752 citations
Semantics of logic programs with aggregates
DB Kemp, PJ Stuckey
International Logic Programming Symposium 1991, 1991
Research165 citationsConstructive negation for constraint logic programming
PJ Stuckey
Proceedings 1991 Sixth Annual IEEE Symposium on Logic in Computer Science …, 1991
Machine Learning157 citationsMagic sets and bottom-up evaluation of well-founded models.
DB Kemp, D Srivastava, PJ Stuckey
ISLP, 337-351, 1991
Research80 citations
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