ISKRM: an implicit simple knowledge representation model
There exists a large amount of knowledge representation models. But most of them have significant limitations at the epistemic level. They do not have explanatory power. Most of them do not have means to represent some functional needs to work as valid “Languages of Thought” (LOT). Many actual model...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2005
|
| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/22899 |
| Aporte de: |
| Sumario: | There exists a large amount of knowledge representation models. But most of them have significant limitations at the epistemic level. They do not have explanatory power. Most of them do not have means to represent some functional needs to work as valid “Languages of Thought” (LOT). Many actual models have restrictions on flexibility to handle new problems or expert systems with encyclopedic knowledge. Most of them require a semantic assessment to symbols made by the same developers of the expert systems and technicians who do knowledge elicitation. These limitations have implications on feasibility for autonomous cognitive agents, capable of generating new concepts elicited out of learning and environment interaction. A model of knowledge representation is introduced, which allows for functionalities of traditional models of representation and solves many of their restrictions. |
|---|