representatiemodels
Representatiemodels are a fundamental concept in artificial intelligence and cognitive science, referring to how information is stored and processed internally. They are the structures or formats used by a system to encode knowledge about the world, enabling it to perform tasks such as reasoning, learning, and decision-making.
There are various types of representatiemodels. Symbolic representatiemodels, for instance, use discrete symbols and logical rules
In contrast, sub-symbolic representatiemodels, such as those found in neural networks, represent information as distributed patterns
Connectionist representatiemodels are a subset of sub-symbolic models that focus on the connections between simple processing
The choice of representatiemodel significantly impacts an AI system's capabilities and limitations. An effective representatiemodel must