Forrest, 1985 - Google Patents
A study of parallelism in the classifier system and its application to classification in kl-one semantic networks (Artificial Intelligence, fine-grained)Forrest, 1985
- Document ID
- 4503831555726767146
- Author
- Forrest S
- Publication year
External Links
Snippet
Current techniques for knowledge representation in artificial intelligence limit their applicability in many domains. One reason for this limitation is the large amount of computation involved in processing reasonably-sized knowledge-bases. Current research in …
- 238000000034 method 0 abstract description 61
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/31—Programming languages or programming paradigms
- G06F8/311—Functional or applicative languages; Rewrite languages
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/40—Transformations of program code
- G06F8/41—Compilation
- G06F8/42—Syntactic analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/40—Transformations of program code
- G06F8/41—Compilation
- G06F8/45—Exploiting coarse grain parallelism in compilation, i.e. parallelism between groups of instructions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/44—Arrangements for executing specific programmes
- G06F9/4421—Execution paradigms
- G06F9/4428—Object-oriented
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/44—Arrangements for executing specific programmes
- G06F9/4421—Execution paradigms
- G06F9/4436—Data-driven
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
- G06F17/30946—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type indexing structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
- G06N5/025—Extracting rules from data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/04—Inference methods or devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/35—Model driven
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/70—Software maintenance or management
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Miranker | TREAT: a new and efficient match algorithm for AI production systems | |
Karp et al. | A generic knowledge-base access protocol | |
Forrest | Parallelism and programming in classifier systems | |
Gust et al. | Metaphors and heuristic-driven theory projection (HDTP) | |
Eisner et al. | Dyna: Extending datalog for modern AI | |
Forrest | A study of parallelism in the classifier system and its application to classification in kl-one semantic networks (Artificial Intelligence, fine-grained) | |
Letovsky | Plan analysis of programs | |
Welty | An integrated representation for software development and discovery | |
Tamir et al. | Machine understanding and deep learning representation | |
Woods et al. | Constraint-based design recovery for software reengineering: theory and experiments | |
Freeman-Benson | Constraint imperative programming | |
Tong | Knowledge-based circuit design | |
Wah et al. | Computers for symbolic processing | |
Vranes et al. | Prolog/Rex/spl minus/a way to extend Prolog for better knowledge representation | |
Neumann | Programming languages in artificial intelligence | |
Beebe | A complete bibliography of publications in science of computer programming | |
Shastri et al. | A step toward modeling reflexive reasoning | |
Herchenröder | Lightweight semantic web oriented reasoning in Prolog: Tableaux inference for description logics | |
Amir | Dividing and conquering logic | |
Perlin | Automating the construction of efficient artificial intelligence algorithms | |
Esteves | Functional programming for explainable AI | |
Horn et al. | Theorem proving and program synthesis with Oyster | |
Keukelaar | Topics in soft computing | |
Lorenzo Blanco | Learning non-monotonic logic programs to reason about actions and change | |
Hillerström et al. | Asymptotic Improvement with Effect Handlers |