Papers by Benjamin Fonooni
Abstract. Most of the humans day to day tasks include sequences of actions that lead to a desired... more Abstract. Most of the humans day to day tasks include sequences of actions that lead to a desired goal. In domains which humans are replaced by robots, the ability of learning new skills easy and fast plays an important role. The aim of this research paper is to incorporate sequential learning into Learning from Demonstration (LfD) in an architecture which mainly focuses on high-level representation of behaviors. The primary goal of the research is to investigate the possibility of utilizing Semantic Networks in order to enable the robot to ...
2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2013
This paper gives a brief overview of challenges in designing cognitive architectures for Learning... more This paper gives a brief overview of challenges in designing cognitive architectures for Learning from Demonstration. By investigating features and functionality of some related architectures, we propose a modular architecture particularly suited for sequential learning high-level representations of behaviors. We head towards designing and implementing goal based imitation learning that not only allows the robot to learn necessary conditions for executing particular behaviors, but also to understand the intents of the tutor and reproduce the same behaviors accordingly.
Robotics and Autonomous Systems, 2015
2009 IEEE Symposium on Computational Intelligence for Financial Engineering, 2009
Abstract Financial intelligent monitoring system is emerging new research area and also has great... more Abstract Financial intelligent monitoring system is emerging new research area and also has great commercial potentials. Traditional technical analysis relies on some statistics including technical indicators to determine turning point of the trend. Despite the fact that financial markets conform to some mathematical concepts and cause it to be analyzed with different Artificial Intelligence (AI) algorithms, this paper headed for applying Induced Ordered Weighted Averaging (IOWA) operator in order to support trading decisions based on ...
Proceedings of the WSEAS …, May 27, 2008
Abstract: The need for intelligent monitoring systems for financial markets especially Foreign Ex... more Abstract: The need for intelligent monitoring systems for financial markets especially Foreign Exchange has become a necessity to keep track of this market. Financial markets conform to some mathematical concepts and cause it to be analyzed with different Artificial Intelligence (AI) algorithms. Data Fusion has been applied in different fields and the corresponding applications utilize numerous mathematical tools. This paper headed for applying Ordered Weighted Averaging (OWA) operator in order to support trading decisions based on ...
Proceedings of the 10th WSEAS …, Mar 23, 2009
Abstract: During the past decade, the Financial Services industry has been transformed though the... more Abstract: During the past decade, the Financial Services industry has been transformed though the applications of computer-based analytics for forecasting, product design, portfolio optimization, risk management and intelligent advisory systems. This paper introduces trading system for financial markets, which is designed for improving trader's decision making process. The paper headed for applying Uncertain Ordered Weighted Averaging (UOWA) operator as a decision making algorithm (DMA) and compare the results with ...
Abstract: In this paper we present an approach for high-level behavior recognition and selection ... more Abstract: In this paper we present an approach for high-level behavior recognition and selection integrated with a low-level controller to help the robot to learn new skills from demonstrations. By means of Semantic Network as the core of the method, the robot gains the ability to model the world with concepts and relate them to low-level sensory-motor states. We also show how the generalization ability of Semantic Networks can be used to extend learned skills to new situations.
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Papers by Benjamin Fonooni