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PRICAI
2000
Springer
13 years 11 months ago
Layered Specification of Intelligent Agents
Paul Scerri, Johan Ydrén, Nancy E. Reed
PRICAI
2000
Springer
13 years 11 months ago
Making Adjustable Autonomy Easier with Teamwork
Adjustable Autonomy (AA) is the name given to a variety of approaches to the task of giving outside entities the ability to change the level of autonomy of agents in an autonomous ...
Paul Scerri, Nancy E. Reed
PRICAI
2000
Springer
13 years 11 months ago
Virtual Enterprise Design - BDI Agents vs. Objects
Current research identifying architectures for a virtual enterprise has moved from information modelling to role modelling. Thus, a high level of autonomy results from the distribu...
Iyad Rahwan, Ryszard Kowalczyk, Yun Yang
PRICAI
2000
Springer
13 years 11 months ago
Text Retrieval from Document Images based on N-Gram Algorithm
In this paper, we propose a method of text retrieval from document images using a similarity measure based on an N-Gram algorithm. We directly extract image features instead of us...
Chew Lim Tan, Sam Yuan Sung, Zhaohui Yu, Yi Xu
PRICAI
2000
Springer
13 years 11 months ago
Constructing an Autonomous Agent with an Interdependent Heuristics
When we construct an agent by integrating modules, there appear troubles concerning the autonomy of the agent if we introduce a heuristics that dominates the whole agent. Thus, we ...
Koichi Moriyama, Masayuki Numao
PRICAI
2000
Springer
13 years 11 months ago
Collaborative Filtering with the Simple Bayesian Classifier
Koji Miyahara, Michael J. Pazzani
PRICAI
2000
Springer
13 years 11 months ago
Functional Understanding Based on an Ontology of Functional Concepts
Abstract. This article discusses automatic identifications of functional structures of artifacts from given behavioral models of components and their connection information (called...
Yoshinobu Kitamura, Toshinobu Sano, Riichiro Mizog...
PRICAI
2000
Springer
13 years 11 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst