'Commonsense knowledge' presentation slideshows

Chapter 2: The Representation of Knowledge

Chapter 2: The Representation of Knowledge. Expert Systems: Principles and Programming, Fourth Edition. Objectives. Introduce the study of logic Learn the difference between formal logic and informal logic Learn the meaning of knowledge and how it can be represented Learn about semantic nets

643 views • 51 slides

ASER: A Large-scale Eventuality Knowledge Graph

ASER: A Large-scale Eventuality Knowledge Graph. Yangqiu Song Department of CSE, HKUST , Hong Kong Summer 2019. Contributors to related works: Hongming Zhang, Xin Liu, Haojie Pan, Cane Leung, Hantian Ding. Outline. Motivation: NLP and commonsense knowledge

635 views • 50 slides

Chapter 7: The Representation of Knowledge

Chapter 7: The Representation of Knowledge. Expert Systems: Principles and Programming, Fourth Edition. Objectives. Introduce the study of logic Learn the difference between formal logic and informal logic Learn the meaning of knowledge and how it can be represented Learn about semantic nets

630 views • 50 slides

Assisted Cognition

Assisted Cognition. Henry Kautz Don Patterson, Nan LI Oren Etzioni, Dieter Fox University of Washington Department of Computer Science & Engineering. Cognition in Context. Can often compensate for physical disabilities by change in environment Wheelchairs Redesigned appliances

494 views • 35 slides

Assisted Cognition

Assisted Cognition. Henry Kautz Don Patterson, Nan LI Oren Etzioni, Dieter Fox University of Washington Department of Computer Science & Engineering. Cognition in Context. Can often compensate for physical disabilities by change in environment Wheelchairs Redesigned appliances

490 views • 35 slides

ITCS452: Knowledge Representation

ITCS452: Knowledge Representation. Dr. Jarernsri L. Mitrpanont. Knowledge Representations. A number of knowledge-representation techniques have been devised: Semantic nets Frames Scripts Conceptual graphs Logic Rules. Associative (Semantic) Networks.

541 views • 34 slides

The Future of Computing

The Future of Computing. CSC 161: The Art of Programming Prof. Henry Kautz 12/2/ 2009. Helping Design CS 161. This is the first time CS 161 has been offered I would like your help in designing the course for the next time it is taught Please take 15 minutes to fill out this survey

349 views • 27 slides

Interaction Challenges for Agents with Common Sense

Interaction Challenges for Agents with Common Sense. Henry Lieberman MIT Media Lab Cambridge, Mass. USA Http://www.media.mit.edu/~lieber. Agents with Common Sense. Some AI interfaces are now beginning to make use of large knowledge bases of Common Sense Explicitly collected

346 views • 21 slides

2008. 4. 14 B.-W. Ku

322 views • 15 slides

Mining commonsense knowledge from personal stories in Internet weblogs

Mining commonsense knowledge from personal stories in Internet weblogs. Andrew S. Gordon Institute for Creative Technologies University of Southern California AKBC Grenoble, 19 May 2010. Commonsense knowledge.

128 views • 12 slides

Artificial Intelligence Programming Python

195 views • 9 slides

Artificial Intelligence Programming Python

In this Python AI Tutorial, we will take on an introduction to Artificial Intelligence. Moreover, in this Artificial Intelligence Programming, we will see AI Problems, Tools in AI, and Artificial Intelligence approaches.

134 views • 9 slides

Towards Parallel Nonmonotonic Reasoning with Billions of Facts

4 IBM Research, Ireland. 1 University of Crete Department of Computer Science. Motivation for this Paper.

114 views • 1 slides