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An Adaptive Fuzzy Framework based on Optimized Fuzzy Contexts for Detecting Network Intrusions
2010
Mehran University Research Journal of Engineering and Technology
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The result is a context-driven, adaptable implementation framework based on a double layer hierarchy of fuzzy sensors. ...
Anomaly based Intrusion Detection System (AIDS) is one of the key component of a reliable security infrastructure. ...
ACKNOWLEDGEMENT The authors acknowledge the support of HEC Pakistan for this research through its indigenous-300 S&T scholarship program. ...
doaj:eca7baf33ae34d24bd12417aaf468b64
fatcat:2tgdkx3f3fglzfxpycin32kxi4
An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning
[article]
2020
arXiv
pre-print
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We propose SaFReL, a self-adaptive fuzzy reinforcement learning-based performance testing framework. ...
SaFReL learns the optimal policy to generate performance test cases through an initial learning phase, then reuses it during a transfer learning phase, while keeping the learning running and updating the ...
Acknowledgment This work has been supported by and received funding partially from the TESTOMAT, XIVT, IVVES and MegaM@Rt2 European projects. ...
arXiv:1908.06900v2
fatcat:ogbx2abb3fgl5jh7hrsl3p4ctm
An autonomous performance testing framework using self-adaptive fuzzy reinforcement learning
2021
Software quality journal
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We propose SaFReL, a self-adaptive fuzzy reinforcement learning-based performance testing framework. ...
SaFReL learns the optimal policy to generate performance test cases through an initial learning phase, then reuses it during a transfer learning phase, while keeping the learning running and updating the ...
To view a copy of this licence, visit http://creat iveco mmons .org/licen ses/by/4.0/. ...
doi:10.1007/s11219-020-09532-z
fatcat:63a53ikyenhv3oyjbb4hl65q2y
Contextual genetic algorithms: Evolving developmental rules
[chapter]
1995
Lecture Notes in Computer Science
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The artificial algorithm here presented, will propose the evolution of such regulatory steps as an aid to the modeling of differentiated development of artificial organisms according to environmental, ...
The mechanisms responsible for this intermediate level of uncertainty, are inspired by the biological system of RNA editing found in a variety of organisms. ...
an individual has achieved a degree of control over its own genetic expression. ...
doi:10.1007/3-540-59496-5_312
fatcat:h3i2tu42vzdszj2fadoju5453u
Learning to Play Soccer with the SimpleSoccer Robot Soccer Simulator
[chapter]
2007
Robotic Soccer
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A genetic algorithm (GA) is an adaptive search technique which maintains a population of potential solutions that evolves over time in accordance with the rules of the genetic operators implemented by ...
The evaluation of the worth of an individual as a solution is achieved by the use of a fitness function. ...
This book is certainly a small sample of the research activity on Soccer Robotics going on around the globe as you read it, but it surely covers a good deal of what has been done in the field recently, ...
doi:10.5772/5136
fatcat:ceeftszhsfbz5dna42to2thvdm
Anytime Learning and Adaptation of Structured Fuzzy Behaviors
1997
Adaptive Behavior
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We present an approach to support effective learning and adaptation of behaviors for autonomous agents with reinforcement learning algorithms. ...
Finally, we adopt an anytime learning approach to improve the quality of the control system on-line and to adapt it to dynamic environments. ...
Cattozzo for the development of this application of ELF, and to the many other students that have contributed to the development of ELF, Fuzzy CAT, and SPOT. ...
doi:10.1177/105971239700500304
fatcat:cevbmmw7zjdhzbikjgtakat7ci
A Graded Approach to Requirement Satisfaction for Evolving Systems
2019
2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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In many cases, an analytic membership function leads to an analytic inverse; in the case of no analytic solution, a sampled version can be obtained to a required degree of accuracy. ...
by evaluating the software a number of times on crisp inputs determined by the X-μ analysis. ...
doi:10.1109/fuzz-ieee.2019.8858795
dblp:conf/fuzzIEEE/MartinA19
fatcat:j6pwe3cfcrfjnplkwqlt7wy7ni
Evolution of Collective Behaviour in an Artificial World Using Linguistic Fuzzy Rule-Based Systems
2017
PLoS ONE
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In this paper we present a novel, artificial lifelike evolutionary model, where individual agents are governed by linguistic fuzzy rule-based systems, which is capable of evolving all three classes of ...
Most of these models use genetic algorithms to tune the parameters of previously presented non-evolutionary models, but very few attempt to evolve collective behaviour from scratch. ...
Acknowledgments The work is part of the PhD thesis that is being prepared by J. Demšar at the Faculty of Computer and Information Science, University of Ljubljana, Slovenia. ...
doi:10.1371/journal.pone.0168876
pmid:28045964
pmcid:PMC5207603
fatcat:45ftavpifzhyrnnh3jdf37pfea
MULTI-AGENT ROBOT ARCHITECTURES: THE DECOMPOSITION ISSUE AND A CASE STUDY
1998
International journal on artificial intelligence tools
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The paper specializes the discussion to a proposed neuro-fuzzy multi-agent architecture, which is then applied to design the local path planning system of an indoor mobile robot. ...
It is argued that the multi-agent approach provides the necessary flexibility and adaptivity for such architectures, and that the primary issue in designing a multi-agent robot architecture is the selection ...
A fixed set of seven fuzzy and one 'neural' agent was used do evaluate the performance of the resulting system through simulation. ...
doi:10.1142/s021821309800010x
fatcat:kawf2ig4u5g3da6euf5nkf7utm
Cellular Automata based Feedback Mechanism in Strengthening biological Sequence Analysis Approach to Robotic Soccer
[article]
2013
arXiv
pre-print
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The objective of this research is to generate novel better in-game strategies with the aim of faster adaptation to the changing environment. ...
This paper reports on the application of sequence analysis algorithms for agents in robotic soccer and a suitable representation is proposed to achieve this mapping. ...
This approach could easily be adapted towards developing squad-based tactics of team behavior evolution, by evolving specific strategies for specific groups -for example, creating a group of defenders ...
arXiv:1312.2642v1
fatcat:d4hdhe4w2vc2hd36vdq6tgplri
Evolving fuzzy decision tree structure that adapts in real-time
2005
Proceedings of the 2005 conference on Genetic and evolutionary computation - GECCO '05
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Automatic determination of fuzzy decision tree topology using a genetic program, an algorithm that creates other algorithms is discussed. ...
The resource manager is made up of five parts, the isolated platform model, the multi-platform model, the fuzzy EA model, the fuzzy parameter selection tree and the fuzzy strategy tree. ...
Finally, a strategy tree is a fuzzy tree that an agent uses to try to predict the behavior of an enemy. ...
doi:10.1145/1068009.1068298
dblp:conf/gecco/Smith05
fatcat:rqqrpxerk5d67jsiazgme5hczy
Intelligent Agent System Simulation Using Fear Emotion
2008
Zenodo
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In this paper I have developed a system for evaluating the degree of fear emotion that the intelligent agent-based system may feel when it encounters to a persecuting event. ...
In this paper I want to describe behaviors of emotional agents using human behavior in terms of the way their emotional states evolve over time. ...
emotions after evaluating the impact of an event on the agent's goals. ...
doi:10.5281/zenodo.1333448
fatcat:3icky5sdnbdl7oc7i4ss36wnwa
A fuzzy genetic algorithm approach to an adaptive information retrieval agent
1999
Journal of the American Society for Information Science
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We present an approach to a Genetic Information Retrieval Agent Filter (GIRAF) for documents from the Internet using a genetic algorithm (GA) with fuzzy set genes to learn the user's information needs. ...
In a chromosome, every gene characterizes documents by a keyword and an associated occurrence frequency, represented by a certain type of a fuzzy subset of the set of positive integers. ...
For this purpose, the user evaluates the relevance of the retrieved documents, and gives feedback to the system, which utilizes it to adapt to the evolving information needs. ...
doi:10.1002/(sici)1097-4571(1999)50:9<760::aid-asi4>3.0.co;2-o
fatcat:dvfshppu6jejjcm3nqorhoilcq
A fuzzy genetic algorithm approach to an adaptive information retrieval agent
1999
Journal of the American Society for Information Science
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We present an approach to a Genetic Information Retrieval Agent Filter (GIRAF) for documents from the Internet using a genetic algorithm (GA) with fuzzy set genes to learn the user's information needs. ...
In a chromosome, every gene characterizes documents by a keyword and an associated occurrence frequency, represented by a certain type of a fuzzy subset of the set of positive integers. ...
For this purpose, the user evaluates the relevance of the retrieved documents, and gives feedback to the system, which utilizes it to adapt to the evolving information needs. ...
doi:10.1002/(sici)1097-4571(1999)50:9<760::aid-asi4>3.3.co;2-f
fatcat:p5gokf47ajfvdbzn4iuvaozxp4
Recent Patents on Computational Intelligence
2008
Recent Patents on Computer Science
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It combines elements of learning, evolution and fuzzy logic to create programs that can exhibit, to some degree, intelligent behaviour. ...
This paper presents an extensive survey of the latest patents in the domain of computational intelligence. It discusses and summarises some of these latest developments in terms of patents. ...
This method adopts an evolving connectionist system (ECOS) to form an evolving fuzzy neural network program. ...
doi:10.2174/2213275910801020110
fatcat:beze53g2kvb57h6k3jf6icko4a
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