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    Automated Reasoning in Uncertainty Using Fuzzy Logic Sets

    Automated reasoning in artificial intelligence tries to emulate human reasoning through automated deduction. The four color theorem is an example of this, and was the first major theorem to be proved using a computer (Appel & Haken, 1977). However, a large part of human reasoning involves decisions with uncertain, incomplete, ambiguous, or inaccurate […]

    What Are Heuristics in AI, and How Can They Help Me Write Better Code?

    Heuristics involve the study of methods and rules for discovery and invention[efn_note]G, Polya. (1945). How to Solve It. Princeton, NJ: Princeton University Press.[/efn_note]. In AI, heuristics involve defining rules for choosing branches in state space search that are likely to lead to acceptable solutions. This can be particularly useful in two situations. These […]

    How to Design an Effective State Space Search

    After determining the state space for a problem, we need to design a state space search algorithm for solutions. The importance of decisions regarding searching state space for AI problem solvers can’t be understated. Most problems where AI tools are useful in solving, are very complex and therefore the state spaces are exponentially […]

    State Space Search and a Simple Introduction to Graph Theory

    Man looking at map

    Previously I’ve talked about predicate calculus and inference rules to find solutions to problems in artificial intelligence. These rules define the space that is searched when trying to solve a problem through AI. This space can quickly become very large in complex problems and we need efficient ways to search that space. We […]

    How to use Logical Inference and Unification in AI

    White robot human features

    The previous posts on propositional calculus (or zeroth-order logic) and predicate calculus (first-order logic), build on the final and practical application of these logical systems in artificial intelligence automated reasoning systems. Through logical inference and unification we will take a real world example for a financial advisor decision making system.

    We come to […]

    Predicate Calculus: Its Simple Syntax, and Semantics

    Logic Homework

    In my previous post I talked about propositional calculus. Today we will talk about predicate calculus and its syntax and semantics. Predicate calculus builds on this concept by allowing us to describe the relationships in our logical assertions. We could have a statement like “it snowed on Saturday” (it did… it sucks), and […]

    Propositional Calculus – A Quick Artificial Intelligence primer

    Artificial Intelligence includes much more than machine learning I’ve talked about before here, and here. I thought I’d start talking about this by introducing predicate calculus. Predicate calculus, also known as first-order logic, is the collection of formal systems used in computer science to quantify non-logical objects and expressions. It breaks down artificial intelligence […]