|
|
| Line 1: |
Line 1: |
| In [[artificial intelligence]], '''model-based reasoning''' refers to an [[inference]] method used in [[expert systems]] based on a [[model (abstract)|model]] of the physical world. With this approach, the main focus of application development is developing the model. Then at run time, an "engine" combines this model knowledge with observed data to derive conclusions such as a diagnosis or a prediction.
| | The name of the author is Jayson. Office supervising is exactly where her primary earnings comes from but she's already utilized for an additional one. Ohio is exactly where his home is and his family enjoys it. What me and my family members adore is to climb but I'm thinking on starting some thing new.<br><br>Here is my web site: [http://ltreme.com/index.php?do=/profile-127790/info/ psychic chat online] |
| | |
| == Knowledge representation ==
| |
| | |
| In a model-based reasoning system [[knowledge]] can be [[knowledge representation|represented]] using '''[[causal rules]]'''. For example, in a [[medical diagnosis system]] the [[knowledge base]] may contain the following rule:
| |
| : <math>\forall</math> patients : Stroke(patient) <math>\rightarrow</math> Confused(patient) <math>\land</math> Unequal(Pupils(patient))
| |
| In contrast in a [[diagnostic reasoning]] system knowledge would be represented through [[diagnostic rules]] such as:
| |
| : <math>\forall</math> patients : Confused(patient) <math>\rightarrow</math> Stroke(patient)
| |
| : <math>\forall</math> patients : Unequal(Pupils(patient)) <math>\rightarrow</math> Stroke(patient)
| |
| | |
| There are many other forms of models that may be used. Models might be quantitative (for instance, based on mathematical equations) or qualitative (for instance, based on cause/effect models.) They may include representation of uncertainty. They might represent behavior over time. They might represent "normal" behavior, or might only represent abnormal behavior, as in the case of the examples above. Model types and usage for model-based reasoning are discussed in.<ref>[http://gregstanleyandassociates.com/whitepapers/FaultDiagnosis/Model-Based-Reasoning/model-based-reasoning.htm Model Based Reasoning for Fault Detection and Diagnosis]</ref>
| |
| | |
| == See also == | |
| * [[Diagnosis (Artificial intelligence)|Diagnosis]]
| |
| | |
| == References ==
| |
| {{reflist}}
| |
| * {{Russell Norvig 2003|pages=260}}
| |
| | |
| == External links ==
| |
| * [http://www.cs.uu.nl/docs/vakken/mbr Model-based reasoning at Utrecht University]
| |
| * [http://ti.arc.nasa.gov/ NASA Intelligent Systems Division]
| |
| | |
| [[Category:Artificial intelligence]]
| |
| [[Category:Decision theory]]
| |
| [[Category:Reasoning]]
| |
| | |
| | |
| {{compu-AI-stub}}
| |
Latest revision as of 01:35, 12 January 2015
The name of the author is Jayson. Office supervising is exactly where her primary earnings comes from but she's already utilized for an additional one. Ohio is exactly where his home is and his family enjoys it. What me and my family members adore is to climb but I'm thinking on starting some thing new.
Here is my web site: psychic chat online