artificial intelligence – agents and environments

October 12, 2017

Artificial intelligence – agents and environments prepared by Pinar Duygulu at Bilkent University. This book consists of five parts and have 44 pages, starting agents and environment then rationality, PEAS (Performance measure, Environment, Actuators, Sensors),  environment types and Agent types. This book was included in a course of CS461 artificial intelligence studied at Bilkent University in spring 2008.

artificial intelligence - agents and environments

About the author:

Pinar Duygulu is a faculty member at Department of Computer Engineering at Bilkent University.   She is the co-director of RETINA Vision and Learning Group. Previously, She was a post-doctoral researcher at the Informedia project at Carnegie Mellon University. She completed my PhD, MSc and BS studies at the Department of Computer Engineering, of Middle East Technical University, Turkey. From February 2001 to May 2002. She was a visiting scholar at UC Berkeley in Computer Vision Group and Digital Library Project. During summer 2004, She was a senior researcher at CLSP Summer Workshop on Joint Visual Text Modeling at Johns Hopkins University.

The research interests include computer vision and multimedia data mining, specifically object and face recognition, semantic analysis and retrieval of large multimedia  collections,  historical document understanding and action recognition.

The following is the link of her research work, teaching subjects, and publication, a complete list or table is giving at the end of the page of her previous works as mentioned earlier.

Conclusion of artificial intelligence – agents and environments:

This book is the 1st in a series on artificial intelligence – agents and environments. It gives an introduction to the topic with an emphasis on the usage of agent-oriented design. Topics include agents, environments, agent movement, and agent embodiment. It also delivers an introduction to programming in NetLogo. Supplementary the book is a series of exercises and NetLogo models (with source code and documentation) which can be run directly from an applet or downloaded.

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