4 edition of Expert Systems in Law found in the catalog.
|Statement||Oxford University Press, USA|
|Publishers||Oxford University Press, USA|
|LC Classifications||January 7, 1988|
|The Physical Object|
|Pagination||xvi, 55 p. :|
|Number of Pages||95|
nodata File Size: 1MB.
Related is the discussion on the disadvantages section. But there is a place for them, and that place is quite large even given the semantic confines that I just described. "Medicine and the computer: the promise and problems of change". One of the Expert Systems in Law extensions of simply using rules to represent knowledge was also to associate a probability with each rule. The scope of DANIEL is not limited to this particular domain, since the noted difficulties do not. These problem-solving techniques are transformed into business rules that help the program weigh options on specific decisions.
Weather forecasting and radar projections use applications of expert systems. Inan expert system is a computer system emulating the decision-making ability of a human expert. "Using a description classifier to enhance knowledge representation". He was previously a human rights lawyer. Interest was international with the in Japan and increased research funding in Europe. Other early examples were analyzing sonar data to detect Russian submarines.
Lack of correctness in results or decisions [ ] Legal expert systems may lead non-expert users to incorrect or inaccurate results and decisions. These programs can calculate changes in behavior and decipher patterns faster than humans. Another criticism often lodged at legal expert systems is that law is in essence not rule-based but is instead which cannot be accurately modeled.
These systems record the dependencies in a knowledge-base so that when facts are altered, dependent knowledge can be altered accordingly. Some examples of expert systems include map routing programs and computer aided development CAD systems. Simple probabilities were extended in some systems with sophisticated mechanisms for uncertain reasoning, such asand combination of probabilities.
This strategy is mostly used for managing tasks like creating a conclusion, result or effect. Cannot produce correct result from less amount of knowledge.• Challenges [ ] Domain-related problems [ ] The inherent complexity of law as a discipline raises immediate Expert Systems in Law for legal expert system.
It is developed for a specific domain.
"Artificial intelligence in medical diagnosis".
Paraphrased by Hayes-Roth, et al.
Hendriks PH, and Vriens DJ 1999.
Such balancing may draw on extra-legal considerations that would be difficult to represent logically in an expert system.