نتایج جستجو برای: intelligent model

تعداد نتایج: 2158702  

Journal: :Int. J. Intell. Syst. 2012
Mohammad Hossein Fazel Zarandi Esmaeil Hadavandi I. Burhan Türksen

System for Stock Price Prediction M. H. Fazel Zarandi,1,∗ Esmaeil Hadavandi,1,† I. B. Turksen2,3 Department of Industrial Engineering, Amirkabir University of Technology, P.O. Box 15875-4413, Tehran, Iran Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada M5S2H8 Department of Industrial Engineering, TOBB University of Economics and Technology, S...

1999
Magy Seif El-Nasr Thomas R. Ioerger John Yen Donald H. House Frederic I. Parke

The ability to express emotions is important for creating believable interactive characters. To simulate emotional expressions in an interactive environment, an intelligent agent needs both an adaptive model for generating believable responses, and a visualizationmodel for mapping emotions into facial expressions. Recent advances in intelligent agents and in facial modeling have produced effect...

2014
Agnieszka Zbrzezny Andrzej Zbrzezny

In this paper we present a comparison of the SAT-based bounded model checking (BMC) and SMT-based bounded model checking methods for ECTL properties of a parallel composition of transition systems. In the both methods we use the parallel composition (of the transition systems) based on the interleaved semantics. Moreover, the both methods use the same bounded semantics of ECTL formulae, the com...

Journal: :Expert Systems 2014
Federico Castanedo Diego López-de-Ipiña Hamid K. Aghajan Richard P. Kleihorst

Recent advances on sensor network technology provide the infrastructure to create intelligent environments on physical places. One of the main issues of sensor networks is the large amount of data they generate. Therefore, it is necessary to have good data analysis techniques with the aim of learning and discovering what is happening on the monitored environment. The problem becomes even more c...

1985
Gary S. Kahn Steven J. Nowlan John P. McDermott

MORE is a tool that assists in eliciting knowledge from domain experts. Acquired information is added to a domain model of qualitative causal relations that may hold among hypotheses, symptoms, and background conditions. After generating diagnostic rules from the domain model, MORE prompts for additional information that would allow a stronger set of diagnostic rules to be generated, MORE'S pri...

Journal: :iranian journal of oil & gas science and technology 2013
mohsen karimian nader fathianpour jamshid moghaddasi

porosity is considered as an important petrophysical parameter in characterizing reservoirs, calculating in-situ oil reserves, and production evaluation. nowadays, using intelligent techniques has become a popular method for porosity estimation. support vector machine (svm) a new intelligent method with a great generalization potential of modeling non-linear relationships has been introduced fo...

2004
Shandong Wu Yimin Chen

This paper proposes a robot oriented Mobile Intelligent Agent Model-MIAM, composed of core function, mobile ability, intelligent engine and communication interfaces, which provide flexible multi-mode robot control solutions for intelligent control and remote control.

Journal: :IEEE Distributed Systems Online 2008
Maria Ganzha

Designing Distributed Learning Environments with Intelligent Software Agents discusses a possible solution to this problem. Using agents as an abstraction tool or a metaphor for the design and construction of distance-learning systems provides novel possibilities in delivering user-focused elearning content. Furthermore, the book presents the agent-oriented approach as a way to address the comp...

2009
Carelia Gaxiola-Pacheco Antonio Rodríguez Díaz Susan Jones Manuel Castañón-Puga Dora-Luz Flores

This paper presents a model to add personality features to robots, the Transactional Analysis (TA) is used to define a psychological profile and the Viable Systems Model (VSM) is used to help explain the decisions made by the robot and how this impacts on its viability.

1994
DAVID NICHOLS

Learning by teaching systems are a relatively recent approach to designing Intelligent Learning Environments that place learners in the role of tutors. These systems are based on the practice of peer tutoring where students take on defined roles of tutor and tutee. An architecture for learning by teaching systems is described that does not require the domain model of an Intelligent Tutoring Sys...

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