1 Objectives of Course (Artificial Intelligence) – Understand the definition of artificial intelligence – Machine Learning – Natural Language – Expert Systems –…

http://web.media.mit.edu/~minsky/papers/SymbolicVs.Connectionist.html Logical vs.Analogical or Symbolic vs. Connectionist or Neat vs. Scruffy Marvin Minsky In Artificial…

1. Invited Presentation at Public Session of AISB’08, 3rd April 2008, Aberdeen http://www.aisb.org.uk/convention/aisb08/ What designers of artificial companions need to…

1. Machine Learning 2. Learning It is often hard to articulate the knowledge we need to build AI systems Often, we don’t even know it.Frequently, we can arrange to build…

1. Semantic WebTechnologiesLecture 4: Knowledge Representations I02: Ontologies in Computer ScienceDr. Harald Sack Hasso Plattner Institute for IT Systems Engineering University…

1. Software Prototyping Rapid software development to validate requirements 2. Objectives To describe the use of prototypes in different types of development project To discuss…

Slide 1SRI Back from the Future Time-traveling AIs and privacy Brad Templeton Electronic Frontier Foundation (& Foresight Institute) [email protected] Slide 2 SRI Value of…

Slide 11 Course Overview and summary We have discussed… - What AI and intelligent agents are - How to develop AI systems - How to solve problems using search - How to play…

Slide 1©Ian Sommerville 2000 Software Engineering, 6th edition. Chapter 8 Slide 1 Chapter 8 Software Prototyping Slide 2 ©Ian Sommerville 2000 Software Engineering, 6th…

Slide 1Pat Langley School of Computing and Informatics Arizona State University Tempe, Arizona USA Institute for the Study of Learning and Expertise Palo Alto, California…