Integrating Cognitive Principles From ACT-R Into Probabilistic Conditional Reasoning by Taking the Example of Maximum Entropy Reasoning.
Marco WilhelmDiana HoweyGabriele Kern-IsbernerKai SauerwaldChristoph BeierlePublished in: FLAIRS (2022)
Keyphrases
- maximum entropy
- probabilistic logic
- maximum entropy principle
- probabilistic knowledge
- knowledge base
- default reasoning from conditional knowledge bases
- principle of maximum entropy
- probabilistic reasoning
- cognitive architecture
- random fields
- cognitive models
- machine learning
- computational models
- maximum entropy model
- generative model
- declarative knowledge
- bregman divergences
- image segmentation
- similarity measure
- cognitive modeling
- working memory
- pairwise
- cognitive processes
- knowledge representation