The methods of symbolic AI are rooted in logic, and finding possible solutions by search is a central aspect. The main challenge is the combinatorial explosion in search, but the focus on the satisfiability pro
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By building on top of this base we can further ensure aspects of responsible AI: interpretability, explainability and auditability. This is explored in our 2019 technology trends. Figure 1: Key differences of machine learning and knowledge reasoning From machine learning to machine reasoning ...
–computer science and AI : dynamic logic, description logic,temporal logic, epistemic logic, complexity –economics: game logic, (dynamic) epistemic logic –mathematics: co-algebra, non-wel l-founded set theory, ge-ometry, topology –l inguistics: feature logic ...
6/11/2016 Why a more expressive logic? Example: John loves all girls Janet is a girl Therefore, John loves Janet Propositional Logic: {j_loves_all_girls, janet_is_girl} {j_loves_janet} But: argument above still valid We have to be able to talk about objects/individuals ...
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Introduction to Discrete Mathematics - Explore the fundamentals of discrete mathematics, its significance, and applications in computer science and mathematics.
In between these two poles of the seman-tics-pragmatics continuum are elements of meaning that are defined at the level of propositions as a whole or between different propositions (propositional logic) and forms that situate propositions in time as events and those situating events in various ...
to propositional scope. In Jakobson’s terms, it is“meaning” acting on the participants of the speech event. The connection between an egophoric markerand a certain argument of the clause is viewed here as stemming from the semantic feature of involvementin egophoric marking. Such involvement ...