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A Comprehensive Overview of the Applications of Artificial Life

Kyung-Joong Kim, Sung-Bae Cho
2006 Artificial Life  
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.  ...  Acknowledgments This research was supported by Brain Science and Engineering Research Program sponsored by the Korean Ministry of Commerce, Industry and Energ y.  ... 
doi:10.1162/106454606775186455 pmid:16393455 fatcat:mecyoromlvbitjxotdorzldiii

Adaptive remote sensing techniques implementing swarms of mobile agents

Stewart M. Cameron, Guillermo M. Loubriel, Rush D. Robinett III, Keith M. Stantz, Michael W. Trahan, John S. Wagner, Edward M. Carapezza, David B. Law, K. Terry Stalker
1999 Unattended Ground Sensor Technologies and Applications  
Our group has been studying the collective behavior of an autonomous, multi-agent system applied to emerging threat applications.  ...  We have expanded intelligent control theory using physics-based collective behavior models and genetic algorithms to produce a uniquely powerfid implementation of distributed ground-based measurement incorporating  ...  ACKNOWLEDGEMENTS Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy under Contract DE-AC04-94AL85000.  ... 
doi:10.1117/12.357131 fatcat:tuy57pkr5vhs5fkyasp7nfo6oe

Bridge protection algorithms – A technique for fault-tolerance in sensor networks

Saad Ahmad Khan, Ladislau Bölöni, Damla Turgut
2015 Ad hoc networks  
Comparative analysis of system identification techniques for nonlinear modeling of the neuron-microelectrode junction",  ...  that promises solutions for autonomous systems by the use of evolved neural networks.  ...  "Emulating the consistency of human behavior with an autonomous robot in a market scenario", Plan, Activity, and Intent Recognition (PAIR-13), workshops at the 27th AAAI Conference on Artificial Intelligence  ... 
doi:10.1016/j.adhoc.2014.08.016 fatcat:ddeuun7p5rhxtmma2c77wdymb4

Bioinspired Intelligent Algorithm and Its Applications for Mobile Robot Control: A Survey

Jianjun Ni, Liuying Wu, Xinnan Fan, Simon X. Yang
2016 Computational Intelligence and Neuroscience  
Mobile robot control is one of the main application fields of BIAs which has attracted more and more attention, because mobile robots can be used widely and general artificial intelligent algorithms meet  ...  This paper presents a survey of recent research in BIAs, which focuses on the research in the realization of various BIAs based on different working mechanisms and the applications for mobile robot control  ...  Funds for the Central Universities (2015B20114, 2015B14614), and the Jiangsu Province Innovation Project for Postgraduate (KYLX15 0496) for their support of this paper.  ... 
doi:10.1155/2016/3810903 pmid:26819582 pmcid:PMC4707020 fatcat:xq4zktll3ja6be6veraqgws5zm

Emergence of Cooperation: State of the Art

Geoff Nitschke
2005 Artificial Life  
An introduction and overview of emergent cooperation in artificial life is presented, followed by a survey of emergent cooperation in swarm-based systems, the pursuit-evasion domain and robo-cup soccer  ...  responsible for emergent cooperation, and then only in systems of an abstract nature.  ...  Neuro-evolution is an approach that uses genetic algorithms to evolve neural networks, and was designed for the possibility of managing complex control tasks, where learning a direct mapping from sensors  ... 
doi:10.1162/1064546054407194 pmid:16053576 fatcat:4sznnxnyuffgdlavqmse6eyvba

The Morphospace of Consciousness [article]

Xerxes D. Arsiwalla, Ricard Sole, Clement Moulin-Frier, Ivan Herreros, Marti Sanchez-Fibla, Paul Verschure
2018 arXiv   pre-print
Based on current clinical scales of consciousness that measure cognitive awareness and wakefulness, we take a perspective on how contemporary artificially intelligent machines & synthetically engineered  ...  consciousness (embodied by virtual agents within a simulated reality).  ...  This work has been supported by the European Research Council's CDAC project: "The Role of Consciousness in Adaptive Behavior: A Combined Empirical, Computational and Robot based Approach" (ERC-2013-ADG  ... 
arXiv:1705.11190v3 fatcat:n6yjrqzjq5dzhgtxemuqjwka2a

Artificial Evolution: A New Path for Artificial Intelligence?

P. Husbands, I. Harvey, D. Cliff, G. Miller
1997 Brain and Cognition  
The paper revolves around a case study on the concurrent evolution of control networks and visual sensor morphologies for a mobile robot.  ...  Recently there have been a number of proposals for the use of artificial evolution as a radically new approach to the development of control systems for autonomous robots.  ...  Having provided some context, this paper continues with an argument for the use of artificial evolution in autonomous agent research, this is followed by a more detailed exposition of genetic algorithms  ... 
doi:10.1006/brcg.1997.0910 pmid:9209759 fatcat:rlsqwlumzzdozhoh7jtjisln3y

A review of morphogenetic engineering

René Doursat, Hiroki Sayama, Olivier Michel
2013 Natural Computing  
To answer these questions, we have launched in 2009, and developed through a series of workshops and a collective book, a new field of research called morphogenetic engineering.  ...  [This paper is an extended version of Doursat, Sayama and Michel (2012b ) (Chapter 1, in Doursat R et al. (eds.) Morphogenetic engineering: toward programmable complex systems.  ...  nearby environment, to produce an emergent collective behavior at a macroscopic scale.  ... 
doi:10.1007/s11047-013-9398-1 fatcat:wm4vmlwuqfbgteigyfuz3vbm2m

Advanced Applications of Neural Networks and Artificial Intelligence: A Review

Koushal Kumar, Gour Sundar Mitra Thakur
2012 International Journal of Information Technology and Computer Science  
Artificial Neural Network is a branch of Artificial intelligence and has been accepted as a new computing technology in computer science fields.  ...  The main aim of this paper is to explore the recent applications of Neural Networks and Artificial Intelligence and provides an overview of the field, where the AI & ANN"s are used and discusses the critical  ...  An Artificial Neural Network is a network of collections of very simple processors ("Neurons") each possibly having a (small amount of) local memory.  ... 
doi:10.5815/ijitcs.2012.06.08 fatcat:pjdstjcnuzhwlg4rex2uwfrexe

Multi-agent modeling and simulation in the AI age

Wenhui Fan, Peiyu Chen, Daiming Shi, Xudong Guo, Li Kou
2021 Tsinghua Science and Technology  
MAMS, which builds the model by using the basic elements of a complex system and their interactive relationship, organically links the microscopic behavior and the "emergent" phenomenon in the macroscope  ...  With the rapid development of artificial intelligence (AI) technology and its successful application in various fields, modeling and simulation technology, especially multi-agent modeling and simulation  ...  online genetic algorithms, neural networks, reinforcement learning and pattern recognition toolkits, online data collection and multidimensional visualization toolkits, an online analysis toolbox, and  ... 
doi:10.26599/tst.2021.9010005 fatcat:em72oiw5mvgc7lp3pjmch3n2eq

Sub-goal based Robot Visual Navigation through Sensorial Space Tesselation

George Palamas, J. Andrew Ware Andrew
2013 International Journal of Advanced Research in Artificial Intelligence (IJARAI)  
In this paper, we propose an evolutionary cognitive architecture to enable a mobile robot to cope with the task of visual navigation.  ...  During the next step, a genetic algorithm evolves a navigation controller that the robot uses for visual servoing, driving through a set of nodes on the topological map.  ...  The proposed robot behavior controller realizes an Elman neural network (Elman NN) and a genetic algorithm (GA).  ... 
doi:10.14569/ijarai.2013.021106 fatcat:6eqnvhx3zjdypoypwboxua4w6y

6G White Paper on Edge Intelligence [article]

Ella Peltonen, Mehdi Bennis, Michele Capobianco, Merouane Debbah, Aaron Ding, Felipe Gil-Castiñeira, Marko Jurmu, Teemu Karvonen, Markus Kelanti, Adrian Kliks, Teemu Leppänen, Lauri Lovén (+7 others)
2020 arXiv   pre-print
In this white paper, we focus in the domains of edge computing infrastructure and platforms, data and edge network management, software development for edge, and real-time and distributed training of ML  ...  Moving towards 5G and beyond the future 6G networks, intelligent solutions utilizing data-driven machine learning and artificial intelligence become crucial for several real-world applications including  ...  ACKNOWLEDGEMENTS This draft white paper has been written by an international expert group, led by the Finnish 6G Flagship program (www.6gflagship.com) at the University of Oulu, within a series of twelve  ... 
arXiv:2004.14850v1 fatcat:2gt2fnyqsjemxdxbuclxnrqzwu

Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks

Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi
2018 Neural Networks  
Inspired by such intricate natural phenomena, Evolved Plastic Artificial Neural Networks (EPANNs) use simulated evolution in-silico to breed plastic neural networks with a large variety of dynamics, architectures  ...  The interplay of these elements leads to the emergence of adaptive behavior and intelligence.  ...  Kondo (2007) proposed an evolutionary design and behavior analysis of neuromodulatory neural networks for mobile robot control, validating the potential of the method.  ... 
doi:10.1016/j.neunet.2018.07.013 pmid:30142505 fatcat:gfgtbfalrbh6hnjwwj5lxj2dla

Neurorobots as a Means Toward Neuroethology and Explainable AI

Kexin Chen, Tiffany Hwu, Hirak J. Kashyap, Jeffrey L. Krichmar, Kenneth Stewart, Jinwei Xing, Xinyun Zou
2020 Frontiers in Neurorobotics  
In a similar way, neurorobotics can be used to explain how neural network activity leads to behavior. In real world settings, neurorobots have been shown to perform behaviors analogous to animals.  ...  In this paper, we review neurorobot experiments by focusing on how the robot's behavior leads to a qualitative and quantitative explanation of neural activity, and vice versa, that is, how neural activity  ...  AUTHOR CONTRIBUTIONS All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.  ... 
doi:10.3389/fnbot.2020.570308 pmid:33192435 pmcid:PMC7604467 fatcat:37v42xxymbfuznceh4gofmuawy

Intelligent Self-Organized Robust Control Design based on Quantum/Soft Computing Technologies and Kansei Engineering

S.V. Ulyanov
2013 Computer Science Journal of Moldova  
Kansei/Affective Engineering technology and its toolkit include qualitative description of human being emotion, instinct and intuition that are used effectively in design processes of smart/wise robotics  ...  The solution of an important problem as robust intelligent control system design based on quantum knowledge base self-organization in unpredicted control situations and information risk is proposed.  ...  Instinct and emotion are introduced based on fuzzy neural network and corresponding lookup tables. Simulation and experimental results are demonstrated in Figure 12 . 12 Mobile robot for service use  ... 
doaj:ab22ce07099a4c2ebd161489ce4fead5 fatcat:m4zkc7phmnc6zi2bj6grejdwku
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