Name
Abstract | ||
|---|---|---|
Traditionally, planning work in artificial intelligence has focused on primitive actions and instantaneous states. Innovative work has been done on composing primitive actions so as to bring about desired final states. The thesis advanced in this paper ... |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/TIME.1996.555700 | TIME |
Keywords | Field | DocType |
artificial intelligence,innovative work,primitive action,instantaneous state,final state,uncertain temporal reasoning,history,intelligent systems,computational intelligence,uncertainty,intelligent networks,markov processes,natural languages,bayesian network,computational complexity,bayesian methods,computer science,degradation,markov chain,knowledge representation | Data mining,Knowledge representation and reasoning,Markov process,Intelligent decision support system,Computer science,Markov chain,Bayesian network,Natural language,Artificial intelligence,Probabilistic logic,Machine learning,Bayesian probability | Conference |
ISBN | Citations | PageRank |
0-8186-7528-4 | 6 | 0.75 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Y. Tawfik | 1 | 6 | 0.75 |
| E. M. Neufeld | 2 | 6 | 0.75 |