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An evolutionary autonomous agents approach to image feature extraction
1997
IEEE Transactions on Evolutionary Computation
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This paper presents a new approach to image feature extraction which utilizes evolutionary autonomous agents. ...
Here the fitness of a parent agent is defined according to the steps that the agent takes to locate an image feature pixel. ...
In addition, special thanks should be given to Dr. H. Zhou for his involvement in some of the preliminary experiments and to H. Qin for his help in producing two of the graphical illustrations. ...
doi:10.1109/4235.687881
fatcat:t7abyqkgxbdczkpiqgtc2ycthu
Modified Evolutionary Autonomous Agents Approach to Image Feature Extraction
2013
International Journal of Computer Applications
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In this paper, we present a modified evolutionary autonomous agents method for extracting features from a grey scale image. ...
Features can be extracted on the basis of differences in intensity values of the target pixel with the neighboring pixels. ...
The authors would also like to thank fellow colleagues and the anonymous reviewers. A special thanks to MIAS database for providing precious medical data. ...
doi:10.5120/12222-8371
fatcat:penpnhix7jfurp5afhrkf4kqhu
Self Training Autonomous Driving Agent
[article]
2019
arXiv
pre-print
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This novel involvement of difference images in the auto-encoder gives better representation of the latent space with respect to the motion of vehicle and helps an autonomous agent to learn more efficiently ...
We use the concept of reinforcement learning and evolutionary strategies to train our agent in a 2D simulation environment. ...
We also use the convolution layers to extract the features from the image. ...
arXiv:1904.12738v1
fatcat:djwv3rnyobgzxe4nijntwblkqy
Autonomous learning of features for control: Experiments with embodied and situated agents
2021
PLoS ONE
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The efficacy of evolutionary or reinforcement learning algorithms for continuous control optimization can be enhanced by including an additional neural network dedicated to features extraction trained ...
We demonstrate that the parallel training of the two networks is crucial in the case of agents that operate on the basis of egocentric observations and that the extraction of features provides an advantage ...
A similar approach has been used to train an agent to swing a pendulum on the basis of visual information collected from a side view [14] . ...
doi:10.1371/journal.pone.0250040
pmid:33857220
pmcid:PMC8049238
fatcat:hl6j7guzobd6rmhy2tjiukb37e
On the development of evolutionary artificial artists
2007
Computers & graphics
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The creation and the evaluation of aesthetic artifacts are tasks related to design, music and art, which are highly interesting from the computational point of view. ...
The present paper introduces an architecture which is capable of evaluating aesthetic characteristics of artifacts and of creating artifacts that obey certain aesthetic properties. ...
Dwight Krehbiel, Dallas Vaughn, Luca Pellicoro and Marisa Santos made relevant contributions to previous projects upon which the present work is based, and to related ones. ...
doi:10.1016/j.cag.2007.08.010
fatcat:yxu5bzpatvdfpgdnwj23jyzmju
New machine behavior's evolutionary approaches between AI learning, control and ethics promoting cooperative Human-Machine Intelligence
2022
European Journal of Privacy Law & Technologies
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Combining AI and behavioral science is then seen in its true potential, as an ethical way to improve people's lives, where end users can feel safe when sharing personal data for transparent and relevant ...
agents in our everyday environments. ...
which determines the extracted features) continues throughout the evolutionary process. ...
doi:10.57230/ejplt221sg
fatcat:o2kvhzg72zax7firtyr3zbw64q
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents
[article]
2020
arXiv
pre-print
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We introduce a method that permits to continue the training of the feature-extraction module during the training of the policy network and that increases the efficacy of feature extraction. ...
As discussed in previous studies, the efficacy of evolutionary or reinforcement learning algorithms for continuous control optimization can be enhanced by including a neural module dedicated to feature ...
an evolutionary algorithm. ...
arXiv:2009.07132v1
fatcat:jxjw63v4qrdwtkeoe7liqobsoi
Introduction to the special issue on evolutionary computer vision and image understanding
2006
Pattern Recognition Letters
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Acknowledgements The guest editors would like to thank the authors who submitted and contributed their work to this special issue, working under a tight schedule. ...
We thank the referees who have generously devoted their time to help ensure the highest possible quality for the papers in this volume. ...
The first paper entitled An agent based evolutionary approach to path detection for off-road vehicle guidance, by Broggi and Cattani describes an ant colony optimization (ACO) algorithm used to detect ...
doi:10.1016/j.patrec.2005.07.013
fatcat:dm4s7rmifraelm755rxsy4ysjm
Virtual and intelligent traffic signs in rescue simulation system: Imitation of human society in agent society
2009
2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation - (CIRA)
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Visual perception is very important to realize the feature extraction from the time series of images, but it is very difficult to perform the object tracking. ...
This project aims to apply image processing techniques in computer vision featuring an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well ...
paper describes range image registration to fuse three-dimensional surfaces of range images taken from around an object. ...
doi:10.1109/cira.2009.5423206
dblp:conf/cira/AsghariMM09
fatcat:r5aq3mrpuvd7zdnf3ju7rflzrq
A Medical Images Based Retrieval System Using Soft Computing Techniques
2010
Zenodo
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This paper gives an overview of soft computing techniques. New research directions are being defined that can prove to be useful. ...
Answers to many questions with respect to speed, semantic descriptors or objective image interpretations are still unanswered. ...
It functions autonomously in an environment in which other processes take place and other agents possibly exist [20] . ...
doi:10.5281/zenodo.1079569
fatcat:7xldz4bul5dsfeysevvyoenm3e
PROJECT CellNet: EVOLVING AN AUTONOMOUS PATTERN RECOGNIZER
2004
International journal of pattern recognition and artificial intelligence
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The CellNet software system is introduced, an evolutionary system that optimizes a set of pattern-recognizing agents relative to a provided set of features and a given pattern database. ...
We describe the desire for a black box approach to pattern classification: a generic Autonomous Pattern Recognizer, which is capable of self-adapting to specific alphabets without human intervention. ...
F X refers to a specific feature extraction function, drawn from the finite feature list. ...
doi:10.1142/s0218001404003587
fatcat:odsa24aqgffmjmpnrhyqxxk2jm
On the Development of Critics in Evolutionary Computation Artists
[chapter]
2003
Lecture Notes in Computer Science
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analyser, classifies the artwork according to a certain criteria. ...
One of the problems in the use of evolutionary computer systems in artistic tasks is the lack of artificial models of human critics. ...
Considering a multi-agent architecture, one can view the evolutionary process as an interplay between two types of agents, creators and critics. ...
doi:10.1007/3-540-36605-9_51
fatcat:yuvja2gduja7fe5b6b3vv5z7ia
A Comprehensive Overview of the Applications of Artificial Life
2006
Artificial Life
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Evolutionary computation is the most popular method for designing such applications, but recently swarm intelligence, artificial immune network, and agent-based modeling have also produced results. ...
In order to show the status of ALife application research, this review primarily features a survey of about 180 ALife application articles rather than a selected representation of a few articles. ...
Gentropy uses an unsupervised approach, where one or more target texture images are supplied to the system. ...
doi:10.1162/106454606775186455
pmid:16393455
fatcat:mecyoromlvbitjxotdorzldiii
USING COMPETITIVE CO-EVOLUTION TO EVOLVE BETTER PATTERN RECOGNISERS
2005
International Journal of Computational Intelligence and Applications
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Application to the CEDAR database of handwritten characters shows an increase in the reliability of the evolution of recognisers, as well as in the elimination of over-fitting, relative to the original ...
Patterns evolve through the application of camouflage functions, which are used to obscure the data naturally found in the database. ...
applications, multi-agent approaches are too slow for our present purposes. ...
doi:10.1142/s1469026805001441
fatcat:uajisz2s75gbbgxta6kc2yr6h4
An evolutionary approach to road following: a simulated case study
2013
Advances in Artificial Life, ECAL 2013
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This work shows a novel approach to the problem, using the methodology of Evolutionary Robotics to facilitate the autonomous emergence of flexible, robust and general behaviours. ...
The results described herein demonstrate the capability of this methodology to produce controllers capable of generalising across a broad range of road shapes to which the agents have not been previously ...
or reflections) so as to allow extraction of the features relevant to the problem, and to show clear contrast between the features to be extracted. ...
doi:10.7551/978-0-262-31709-2-ch152
dblp:conf/ecal/ClarkeLTT13
fatcat:qrntgew6uzbgfljdogqxfgibjy
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