PPT-Knowledge & Reasoning

Logical Reasoning to have a computer automatically perform deduction or prove theorems Knowledge Representations modern ways of representing large bodies of knowledge 1 Logical Reasoning In order to communicate we need a formal language in which to express. Kurt Hungerford. CSCI 8110. Bottom Line, Up Front. The Knowledge Machine is a knowledge representation and reasoning system that allows users to store concepts and relationships and then perform inferences on the knowledge base.. TOK. Lecture 7: Ways of Knowing - Reason. Part 1: What is reasoning? And, how does it lead to knowledge?. What is reasoning?. A possible answer: reasoning is the mental processing of information.. But, not all mental processing. Anne Watson. AMET 2010. How would you. slice a regular hexagon into 5 equal parts?. It’s not what you know, but how you know it - how your knowledge and experience is structured - what is variable?. Introduction to Artificial Intelligence Lecture 13: Knowledge Representation & Reasoning II. 1. Resolution. And yet Another Example:. Resolving P  Q  R with P  W  Q  R. Ashker Ibne Mujib. Andrew Reinders. 1. The Classical . Model. . (Also called . possible-worlds. model). There are a number of possible worlds (states of affairs). Some of these possible worlds may be indistinguishable to an agent from the true world.. Humans use their common sense all the time. what is it?. can we instill it in our AI programs?. if not, what are the consequences for AI?. We might think of common sense reasoning as the knowledge accumulated through experience that gives us the ability to. Humans use their common sense all the time. what is it?. can we instill it in our AI programs?. if not, what are the consequences for AI?. We might think of common sense reasoning as the knowledge accumulated through experience that gives us the ability to. Chitta. . Baral. Arizona State University. Apologies. For not being here physically on this special occasion. My early history with SMS. My . Ph.D. during 1987-1991. Finding the “right” semantics of negation in logic programming was an important topic . Bart Selman. selman@cs.cornell.edu. Logical Agents --- . Intro Knowledge Representation. & Boolean Satisfiability (SAT) encodings. R&N: Chapter 7. A Model-Based Agent. Requires: Knowledge and Reasoning. Knowledge Work Systems. Updated 2017. Outline. Importance of knowledge . Knowledge worker . Knowledge concept & types. Knowledge . m. anagement process. Knowledge Works Systems (KWS). Knowledge culture. Bart Selman. selman@cs.cornell.edu. Module: Knowledge, Reasoning, and Planning. Part 1. Logical Agents. R&N: Chapter 7. A Model-Based Agent. Requires: Knowledge and Reasoning. Knowledge and Reasoning . Ernest Davis. Army Research Lab. January 18, 2018. 4 challenges. Reasoning beyond simulation. Integrating high-level planning with robotics*. Physical reasoning in language understanding*. Science and commonsense physical reasoning. Explanation / Definition / CharacteristicsKNOWLEDGESome knowledge / facts / concepts to be learned some knowledge that can be retrieved using reference materialsIf a skill doesnt really require using --the balancing act between complex information, broad functionality and simple illustration. Construction of a fluvial facies knowledge graph and its application in sedimentary facies identification.