Clear thinking about artificial intelligence:
Abstract: "In recent years artificial intelligence (AI) has become more mathematical. The 'empirical programming' methodology is no longer the norm. AI researchers have been extracting 'neat' techniques from their 'scruffy' programs and formalising them. Mathematic...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Edinburgh
1992
|
| Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
587 |
| Schlagworte: | |
| Zusammenfassung: | Abstract: "In recent years artificial intelligence (AI) has become more mathematical. The 'empirical programming' methodology is no longer the norm. AI researchers have been extracting 'neat' techniques from their 'scruffy' programs and formalising them. Mathematics is often found to provide an appropriate language for this formalisation. New uses are being found for mathematics in every area of AI. Where existing mathematics is not up to the task, new kinds of mathematics are being invented. These developments are generally to be welcomed as a sign of increasing maturity in the field and as a way of improving the reliability of AI products However, it creates some problems which we must try and solve by (1) improved human/computer interfaces to make the new mathematical techniques more accessible, (2) improved teaching to produce AI researchers who are comfortable with these new techniques and (3) more testing of the new techniques on 'real world' problems. |
| Beschreibung: | 3 S. |
Internformat
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| 490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 587 | |
| 520 | 3 | |a Abstract: "In recent years artificial intelligence (AI) has become more mathematical. The 'empirical programming' methodology is no longer the norm. AI researchers have been extracting 'neat' techniques from their 'scruffy' programs and formalising them. Mathematics is often found to provide an appropriate language for this formalisation. New uses are being found for mathematics in every area of AI. Where existing mathematics is not up to the task, new kinds of mathematics are being invented. These developments are generally to be welcomed as a sign of increasing maturity in the field and as a way of improving the reliability of AI products | |
| 520 | 3 | |a However, it creates some problems which we must try and solve by (1) improved human/computer interfaces to make the new mathematical techniques more accessible, (2) improved teaching to produce AI researchers who are comfortable with these new techniques and (3) more testing of the new techniques on 'real world' problems. | |
| 650 | 7 | |a Bionics and artificial intelligence |2 sigle | |
| 650 | 7 | |a Numerical analysis |2 sigle | |
| 650 | 4 | |a Künstliche Intelligenz | |
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| 810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 587 |w (DE-604)BV010450646 |9 587 | |
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Datensatz im Suchindex
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| id | DE-604.BV010459685 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T17:52:51Z |
| institution | BVB |
| language | English |
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| physical | 3 S. |
| publishDate | 1992 |
| publishDateSearch | 1992 |
| publishDateSort | 1992 |
| record_format | marc |
| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Bundy, Alan Verfasser aut Clear thinking about artificial intelligence Edinburgh 1992 3 S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 587 Abstract: "In recent years artificial intelligence (AI) has become more mathematical. The 'empirical programming' methodology is no longer the norm. AI researchers have been extracting 'neat' techniques from their 'scruffy' programs and formalising them. Mathematics is often found to provide an appropriate language for this formalisation. New uses are being found for mathematics in every area of AI. Where existing mathematics is not up to the task, new kinds of mathematics are being invented. These developments are generally to be welcomed as a sign of increasing maturity in the field and as a way of improving the reliability of AI products However, it creates some problems which we must try and solve by (1) improved human/computer interfaces to make the new mathematical techniques more accessible, (2) improved teaching to produce AI researchers who are comfortable with these new techniques and (3) more testing of the new techniques on 'real world' problems. Bionics and artificial intelligence sigle Numerical analysis sigle Künstliche Intelligenz Artificial intelligence Department of Artificial Intelligence: DAI research paper University <Edinburgh> 587 (DE-604)BV010450646 587 |
| spellingShingle | Bundy, Alan Clear thinking about artificial intelligence Bionics and artificial intelligence sigle Numerical analysis sigle Künstliche Intelligenz Artificial intelligence |
| title | Clear thinking about artificial intelligence |
| title_auth | Clear thinking about artificial intelligence |
| title_exact_search | Clear thinking about artificial intelligence |
| title_full | Clear thinking about artificial intelligence |
| title_fullStr | Clear thinking about artificial intelligence |
| title_full_unstemmed | Clear thinking about artificial intelligence |
| title_short | Clear thinking about artificial intelligence |
| title_sort | clear thinking about artificial intelligence |
| topic | Bionics and artificial intelligence sigle Numerical analysis sigle Künstliche Intelligenz Artificial intelligence |
| topic_facet | Bionics and artificial intelligence Numerical analysis Künstliche Intelligenz Artificial intelligence |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT bundyalan clearthinkingaboutartificialintelligence |