Neurocomputing 88 (2012) 1–2

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Neurocomputing

0925-23

doi:10.1

journal homepage: www.elsevier.com/locate/neucom

Editorial

Special issue on intelligent and autonomous systems

This special issue consists of extended versions of selected paperspresented at the international conference ‘‘4th International KES

Conference on Agents and Multi-agent Systems—Technologies and

Applications (KES-AMSTA 2010)’’ which was held on 23–25 June2010 in Gdynia, Poland. The conference was organized by GdyniaMaritime University and KES International, and chaired by PiotrJedrzejowicz and Ngoc Thanh Nguyen. From almost 90 paperspresented at the conference we have selected and invited 19 authorsto submit the extended versions for this issue. Finally, after arigorous peer review process, 9 papers have been accepted forpublication.

The first of them, entitled ‘‘Enhance Performance and Accuracyof Ontology Integration by Propagating Priorly Matchable Con-cepts’’ by TrongHai Duong and Geun Sik Jo, presents a method toreduce the computational complexity and enhance accuratematching ontology. The authors worked out a novel approachusing propagating Priorly Matchable Concepts (PMC). The keyidea of their approach is analyzing multiple contexts, includingthe role of ‘‘natural categories’’, relations, and constraints amongconcepts to provide additional suggestions for possible matchingconcepts. In the second paper ‘‘Search Modes for the CooperativeMulti-Agent System Solving the Vehicle Routing Problem’’DariuszBarbucha presents a model for evaluating to what extent amode of cooperation (synchronous or asynchronous one) between anumber of optimization agents cooperating through sharing acentral memory influences the quality of solutions while solvinginstances of the Vehicle Routing Problem. The author has investi-gated several search modes that are evaluated through computa-tional experiment using a dedicated cooperative multi-agentsystem enabling comparisons of different cooperation modes. Inthe next paper, entitled ‘‘Adaptive Critic-based Neuro-fuzzy Con-troller in Multi-agents: Distributed Behavioral Control and PathTracking’’ Ramin Vatankhah et al. show the solutions of two controltasks in a leader following frame with undirected network and localcommunications. The first task is based on determining a distrib-uted behavioral imitation, which is necessary to fit agents withcomplicated motion equations in kinematic frames providing realagents with behavioral controller making them capable to act as akinematic particle. The second task is to design an active leadingstrategy for the LA to move the group on a predefined path. Thefourth paper ‘‘Semantic Optimization of Query Transformation inSemantic Peer-to-Peer Networks’’ by Jason Jung, proposes a methodfor query transformation with a view to efficiently collect as many

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relevant resources from the distributed information systems aspossible, basing on the assumption that the query from the sourcepeer can be decomposed and propagated and still maintaining theoriginal contexts. In the fifth paper ‘‘Decisional DNA: A Multi-technology Shareable Knowledge Structure for Decisional Experi-ence’’ the authors (Cesar Sanin et al.) present a multi-domainknowledge representation structure called Decisional DNA thatcan be implemented and shared for the exploitation of knowledgeembedded in multiple technologies. Decisional DNA has proven toassure possibility of gathering explicit knowledge from formaldecision events and can be considered as an useful tool forsupporting decision making processes. The next paper, entitled‘‘Indirect Adaptive Tracking Control of a Nonholonomic MobileRobot via Neural Networks’’ by Omid Mohareri presents the designand implementation of an adaptive trajectory tracking controller fora nonholonomic wheeled mobile robot with unknown parametersand uncertain dynamics via neural networks. For this aim theauthor used a robust adaptive backstepping controller that does notrequire the prior knowledge of the robot dynamics. The seventhpaper ‘‘Active Leading Through Obstacles Using Ant-Colony Algo-rithm’’ by Ramin Vatankhah et al. includes the description of anactive leading algorithm for monitoring the neighborhood of theleader-agent and adjusts its velocity. The algorithm is based on theant colony optimization technique and guarantees influence max-imization of the leader-agent on the group, leading to fast flocking.In the eight paper entitled ‘‘Host-based Intrusion Detection SystemsAdapted from Agent-based Artificial Immune Systems’’ Chung-MingOu has proposed an agent-based intrusion detection system usingmechanisms of agents communication and coordination. The intel-ligence behind this system origins from an agent-based artificialimmune system, which is based on the danger theory of humanimmune system. Finally, the last paper, ‘‘Generalization of TORCSCar Racing Controllers with Artificial Neural Networks and LinearRegression Analysis’’ by Kyung-Joong Kim et al. presents a descrip-tion of the proposed heuristic controllers using machine learningmodels which decide on the appropriate parameters of the heuristiccontrollers given the current sensory inputs.

We would like to thank the authors for their valuable con-tributions to this issue. Special thanks go to the reviewerswho helped to get the high quality of the accepted papers.We cordially thank Tom Heskes, the Editor-in-Chief of Neuro-computing, and Vera Kamphuis, the Editorial Assistant for theirsupport.

Editorial / Neurocomputing 88 (2012) 1–22

Ngoc Thanh Nguyen n

Wroclaw University of Technology, Poland

E-mail address: ngoc-thanh.nguyen@pwr.edu.pl

Piotr JedrzejowiczGdynia Maritime University, Poland

E-mail address: pj@am.gdynia.pl

n Corresponding author.

Geuk LeeHannam University, Republic of Korea

E-mail address: leegeuk@hnu.kr

Available online 14 January 2012