Knowledge Representation: Logic

Institution Jomo Kenyatta University of Science and Technology
Course Information Technol...
Year 3rd Year
Semester Unknown
Posted By Jeff Odhiambo
File Type ppt
Pages
File Size 1.91 MB
Views 3600
Downloads 0
Price: Buy Now whatsapp Buy via whatsapp
  • whatsapp
  • facebook
  • twitter

Description

Knowledge representation using logic is a formal approach to encoding information about the world in a structured and interpretable way. It employs logical systems, such as propositional logic and first-order logic, to represent facts, rules, and relationships between entities. Logic-based knowledge representation enables reasoning by applying inference rules to derive new facts from existing ones, ensuring consistency and transparency. This approach is widely used in artificial intelligence, expert systems, and automated reasoning, allowing machines to make informed decisions based on logical deductions.
Below is the document preview.

No preview available
SMA 2371: Partial Differential Equations (Complete Notes, Examples & Solutions) – JKUAT Biostatistics Year 2 Semester 2
These are comprehensive and well-organized lecture notes for SMA 2371: Partial Differential Equations (PDE) offered to BSc. Biostatistics Year 2 Semester 2 students at JKUAT. The notes are neatly arranged from lecture one to the final topics, making them ideal for class learning, revision, CAT preparation, and final examinations. The notes include detailed explanations, worked examples, step-by-step mathematical derivations, solved exercises, and applications of Partial Differential Equations. Topics covered include: • Review of basic concepts and partial derivatives • Jacobians, surfaces and curves in three dimensions • Simultaneous first-order differential equations • Methods of solving symmetric differential equations • Orthogonal trajectories • Pfaffian differential equations • Linear first-order partial differential equations • Formation of PDEs • Elimination of arbitrary constants and arbitrary functions • Heat, Wave, Laplace and Poisson equations • Separation of variables • Fourier and Laplace Transform methods • Numerous worked examples, tutorial questions and examination-style problems with solutions. These notes are suitable for JKUAT students and other university students studying Mathematics, Statistics, Biostatistics, Engineering, Applied Mathematics or related courses. They are an excellent revision resource for CATs and final examinations.
57 Pages 1349 Views 0 Downloads 1.77 MB