- the basic formalism of PLN knowledge representation
- the conceptual interpretation of the terms used in PLN
- an indefinite probability approach to quantifying uncertainty, providing a general method for calculating the "weight-of-evidence" underlying the conclusions of uncertain inference
- specific PLN inference rules and the corresponding truth-value formulas used to determine the strength of the conclusion of an inference rule from the strengths of the premises
- large-scale inference strategies
- inference using variables
- indefinite probabilities involving quantifiers
- inheritance based on properties or patterns
- the Novamente Cognition Engine, an application of PLN
- temporal and causal logic in PLN
Researchers and graduate students in artificial intelligence, computer science, mathematics and cognitive sciences will find this novel perspective on uncertain inference a thought-provoking integration of ideas from a variety of other lines of inquiry.
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