Teknolojide yaşanan gelişmelerin insan zekâsını taklit eden yeni nesil yapay zekâ uygulamalarını ortaya çıkardığı bilinmektedir. Ekonomi, sağlık, eğitim gibi hayatın bir çok alanında kullanılan teknolojilerinin, değişen tüketici kalıpları neticesinde turizm sektörü içinde önemli olmaya başladığı görülmektedir. Çünkü uygulamaları turistler açısından gerek zaman ekonomik faydalar sunan uygulamala...

An adaptive on-line algorithm is proposed to estimate hierarchical data structures for non-stationary data sources. The approach is based on the principle of minimum cross entropy to derive a decision tree for data clustering and it employs a metalearning idea (learning to learn) to adapt to changes in data characteristics. Its efficiency is demonstrated by grouping non-stationary artifical dat...

Zoltan Alexin Department of Informatics University of Szeged [email protected]—szeged.hu Tibor Gyinnithy Research Group on Artifical Intelligence at University of Szeged [email protected]—szeged.hu Csaba Hatvani Department of Informatics University of Szeged [email protected]—szeged.hu LaszlO Tihanyi MorphoLogic Budapest [email protected] Janos Csirik Department of Informatics University of Szeged csiri...

Journal of Experimental & Theoretical Artificial Intelligence Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713723652 Meta-case-based reasoning: self-improvement through self-understanding J. William Murdock a; Ashok K. Goel b a IBM Watson Research Center, 19 Skyline Drive, Hawthorne, NY 10532, USA b Artific...

In real-time strategy (RTS) games, the ability of recognizing other players' goals is important for creating artifical intelligence (AI) players. However, most current goal recognition methods do not take player's deceptive behavior into account which often occurs in RTS game scenarios, resulting poor results. order to solve this problem, paper proposes agent, an extended method applying deduct...

Representing knowledge and reasoning with it is at the heart of most AI systems. Nevertheless, the field of Knowledge Representation and Reasoning (KR&R) does not seem to have much impact on practical work in AI. I will try to point out the reasons for the discrepancy and I will argue that KR&R can be understood as Theoretical Artifical Intelligence. Further, I point out a number of fruitful ap...