PPT-CS 4700: Foundations of Artificial Intelligence

Author : myesha-ticknor | Published Date : 2018-03-08

Bart Selman selmancscornelledu Logical Agents Intro Knowledge Representation amp Boolean Satisfiability SAT encodings RampN Chapter 7 A ModelBased Agent Requires

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CS 4700: Foundations of Artificial Intelligence: Transcript


Bart Selman selmancscornelledu Logical Agents Intro Knowledge Representation amp Boolean Satisfiability SAT encodings RampN Chapter 7 A ModelBased Agent Requires Knowledge and Reasoning. Jason Fuller. 1. What is Game AI?. Imitate intelligence in the actions of non-player characters (NPCs).. Make the game “feel” real.. Obey laws of the game. Show decision making . and planning. 2. …and the mind-boggling stuff it can do. . THE MOST GENERAL DESCRIPTION OF AI. . A FANCY REPRESENTATION OF AI. FIRST PRINTING PRESS. FIRST AIRPLANE. LOOKING BACK IN TIME. Artificial Intelligence is a term coined by John McCarthy at the 1956 Dartmouth Conference.. Lecture # 3. Intelligence. Intelligence.  has been defined in many different ways including as one's capacity for . Logic. Understanding. self-awareness. Learning.  emotional knowledge, . planning,. Presented . by. :. . . Oliwual. . Islam. . . Vivek. . Mishra. . . Rahul. . Ravish. . Bart Selman. Search Techniques. R&N: Chapter 3. Outline. Search: tree search and graph search. Uninformed. . search: very briefly (covered before in other pre-requisite courses – recommendation: review these techniques at home). 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 . and. . Machine Learning H. elp Create a . Military. . Operational Advantage?. . Offset Symposium. April 18-19, 2018. George Galdorisi. Strategic Assessments and Technical Futures Group. SPAWAR Systems Center Pacific. Jaime M. . Saling. February 9, 2017. Reduce redundant guidance published by the Department of the Treasury to eliminate the risk of publishing inconsistent guidance to the agencies.. Objective. TFM. 2-4700 : Appendix I. 1. Artificial Intelligence. AI – is a field of learning that emulates human intelligence. Advances in human intelligence:. Machine intelligence has led to Robotics. Space exploration. Medicine. Advanced research . 1. Artificial Intelligence. AI – is a field of learning that emulates human intelligence. Advances in human intelligence:. Machine intelligence has led to Robotics. Space exploration. Medicine. Advanced research . Bart Selman. selman@cs.cornell.edu. Informed Search . Readings R&N - Chapter 3: 3.5 and 3.6. Search. Search strategies determined by choice of node (in queue) to expand. Uninformed. search:. Distance to goal not taken into account. Prof. Bart Selman. selman@cs.cornell.edu. Machine Learning:. Decision . Trees. R&N 18.3. Big Data:. Sensors Everywhere. Data collected and stored at . enormous speeds (GB/hour. ). Cars. Cellphones. The South East Asia artificial cartilage and artificial joints market is growing at a potential growth rate Year-over-Year (YoY) and has reached USD 7.3 billion in 2019. The market is further expected to touch USD 15.0 billion by 2026, growing at a CAGR of 11.8% during 2020-2026 (forecast period) (. AI). , sometimes known as machine intelligence, refers . to the ability of computers to perform human-like feats of cognition including learning, problem-solving, perception, decision-making, and speech and language..

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