This week we discuss the completeness theorem for the propositional calculus. Details can be found in this handout. You should also read Lemmon Chapter 4 during the next two weeks.

Abstract: We introduce a novel event-trigger threshold (ETT) regulation mechanism based on the quantitative semantics of propositional logic (PL). We exploit the expressiveness of the PL vocabulary to ...

Every predicate referring to an eventuality (events and states) must have at least one argument. Arguments are extensions of a predicate, that are required a part of the meaning of the predicate. An ...

Define the following logic terms and apply them to real-world problems: Describe the simple model checking algorithm and the theorem proving algorithms - forward chaining and resolution, what they ...

We present PredPatt, a framework of extensible, interpretable, language-neutral predicate-argument extraction patterns. PredPatt bridges the deep syntax of the Universal Dependency project to an ...

GATE Data Science & Artificial Intelligence (DA) Important Questions: GATE Data Science & Artificial Intelligence (DA) ...

Training neural networks on NP-complete problems typically demands very large amounts of training data and often needs to be coupled with computationally expensive symbolic verifiers to ensure output ...

GATE Data Science Important Topics: GATE Data Science & Artificial Intelligence (DA) Important Topics cover the key areas that carry high weightage in the exam. These topics are selected based on the ...