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  1. Evolving Systems
  2. Evolving Systems : Volume 1
  3. Evolving Systems : Volume 1, Issue 3, October 2010
  4. Evolving classification of agents’ behaviors: a general approach
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Evolving Systems : Volume 8
Evolving Systems : Volume 7
Evolving Systems : Volume 6
Evolving Systems : Volume 5
Evolving Systems : Volume 4
Evolving Systems : Volume 3
Evolving Systems : Volume 2
Evolving Systems : Volume 1
Evolving Systems : Volume 1, Issue 4, December 2010
Evolving Systems : Volume 1, Issue 3, October 2010
An evolving classification cascade with self-learning
Evolving classification of agents’ behaviors: a general approach
Backpropagation to train an evolving radial basis function neural network
Adversarial learning: the impact of statistical sample selection techniques on neural ensembles
A fast and light classifier for data streams
Evolving Systems : Volume 1, Issue 2, September 2010
Evolving Systems : Volume 1, Issue 1, August 2010

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Evolving classification of agents’ behaviors: a general approach

Content Provider Springer Nature Link
Author Iglesias, Jose Antonio Angelov, Plamen Ledezma, Agapito Sanchis, Araceli
Copyright Year 2010
Abstract By recognizing the behavior of others, many different tasks can be performed, such as to predict their future behavior, to coordinate with them or to assist them. If this behavior recognition can be done automatically, it can be very useful in many applications. However, an agents’ behavior is not necessarily fixed but rather it evolves/changes. Thus, it is essential to take into account these changes in any behavior recognition system. In this paper, we present a general approach to the classification of streaming data which represent a specific agent behavior based on evolving systems. The experiment results show that an evolving system based on our approach can efficiently model and recognize different behaviors in very different domains, in particular, UNIX command-line data streams, and intelligent home environments.
Starting Page 161
Ending Page 171
Page Count 11
File Format PDF
ISSN 18686478
Journal Evolving Systems
Volume Number 1
Issue Number 3
e-ISSN 18686486
Language English
Publisher Springer-Verlag
Publisher Date 2010-07-17
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Evolving fuzzy systems Agent modeling Behavior classification Statistical Physics, Dynamical Systems and Complexity Artificial Intelligence (incl. Robotics) Complexity
Content Type Text
Resource Type Article
Subject Control and Optimization Control and Systems Engineering Modeling and Simulation Computer Science Applications
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