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Self-organizing Networks of Information Gathering Cognitive Agents [article]

Ahmed M. Alaa, Kartik Ahuja, Mihaela Van der Schaar
2015 arXiv   pre-print
In many scenarios, networks emerge endogenously as cognitive agents establish links in order to exchange information.  ...  Finally, we consider the setting in which agents are not endowed with information, but must produce it.  ...  This paper introduces a new model for cognitive agents exchanging information/knowledge and studying what networks emerge endogenously as a result of self-organizing cognitive agents.  ... 
arXiv:1503.04768v2 fatcat:6fkwurpz3ja4zcv6gng7jtpog4

Self-Organizing Networks of Information Gathering Cognitive Agents

Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
2015 IEEE Transactions on Cognitive Communications and Networking  
In many scenarios, networks emerge endogenously as cognitive agents establish links in order to exchange information.  ...  Finally, we consider the setting in which agents are not endowed with information, but must produce it.  ...  Index Terms-Cognitive networking, cognitive agents, information networks, network formation, self-organizing networks. I.  ... 
doi:10.1109/tccn.2015.2499284 fatcat:oqxyidpuijf3rlfoqso4ou2nbi

A cognitive information processing framework for distributed sensor networks

Feiyi Wang, Hairong Qi, Edward M. Carapezza
2004 Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense III  
In this paper, we present a cognitive agent framework (CAF) based on swarm intelligence and self-organization principles, and demonstrate it through collaborative processing for target classification in  ...  sensor networks.  ...  We present a cognitive agent framework (CAF) to support collaborative information processing in sensor networks.  ... 
doi:10.1117/12.543381 fatcat:ezjlf5j3w5dsvnginzclgjitvi

Morphological Computing in Cognitive Systems, Connecting Data to Intelligent Agency

Gordana Dodig-Crnkovic
2020 Proceedings (MDPI)  
Cognitive computing based on natural/ physical/ morphological computation is used to explain the goal-directed behavior of an agent acting on its own behalf (the "I" as self-referential awareness) applicable  ...  This paper addresses some of the major controversies underlying the theme of the IS4SI 2019 Berkeley summit: "Where is the I in AI and the meaning of Information?".  ...  The data sensing, gathering and processing is the first step in the cognition of living organism as well.  ... 
doi:10.3390/proceedings47010041 fatcat:bkdyxmdzpjbvzjxslmv6gfywfu

From Human Computation to the Global Brain: The Self-Organization of Distributed Intelligence [chapter]

Francis Heylighen
2013 Handbook of Human Computation  
The self-organization of distributed intelligence Let us now apply this self-organizing dynamics to heterogeneous networks of cognitive agents, i.e. people and ICT systems.  ...  Then I will review how such an intelligent network emerges and grows through a combination of self-organization and design.  ... 
doi:10.1007/978-1-4614-8806-4_73 fatcat:heim3gwlzvhpfnxtwmt5vk5wgu

Agent-based Exploration of Wirings of Biological Neural Networks: Position Paper [article]

Önder Gürcan, Oğuz Dikenelli, Kemal S. Türker
2012 arXiv   pre-print
While some information is coming out from human experiments, medical research is lacking of simulation models to put current findings together to obtain the global picture and to predict hypotheses to  ...  Agent-based modeling and simulation (ABMS) is a strong candidate for the simulation model. In this position paper, we discuss the current status of "neural wiring" and "ABMS in biological systems".  ...  To this end, inspiring from the above information gathered from neuroscience and network science studies we may develop an agent-based model.  ... 
arXiv:1209.3150v1 fatcat:aidhhugwurcuxpyqqz4hnqky4i

Conference Models to Bridge Micro and Macro Studies of Science

Matthew Francisco, Staša Milojevic, Selma Šabanovic
2011 Journal of Artificial Societies and Social Simulation  
We propose using community-centered analyses and agent-based models of scientific gatherings such as conferences, symposia and workshops as a way to understand how scientific practices evolve and transition  ...  What is needed is a set of modeling frameworks for simulating both the internal and population dynamics of scientific gatherings.  ...  practices of groups, and through the accumulation of objects and materials that support the repetition of critical self-sustaining and self-transforming activities by the organization.  ... 
doi:10.18564/jasss.1838 fatcat:djtia2llfbelrmbx5f25ovdbqq

A Survey on Data Perception in Cognitive Internet of Things

Lokesh B. Bhajantri, Prashant Balugari
2019 Journal of Telecommunications and Information Technology  
Finally, we provide the model of cognitive agent-based data perception in CIoT for future research and development, which ensures the network performance in terms of reliability, energy efficient, accuracy  ...  CIoT can perceive present system's conditions, analyze the apparent information, make smart choices, and increase the network performance.  ...  [14] : • standards for cross interoperability with heterogeneous networks, • machine to machine standardization, • self aware and self organizing networks, • open framework for the CIoT, • fault tolerance  ... 
doi:10.26636/jtit.2019.13141919 fatcat:zmpreous2jdbjflgws7qcd4c5a

Network management of cognitive radio ad hoc networks

Paul Potier, Lijun Qian
2011 Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management - CogART '11  
In this paper, we examine the problem of network management for cognitive radio ad hoc networks. (CRAHNs).  ...  Then the proposed framework of cognitive radio network management is introduced and discussed.  ...  that self-organizing system must produce functions that are useful to the system's stakeholders [3] .  ... 
doi:10.1145/2093256.2093294 dblp:conf/cogart/PotierQ11 fatcat:cucgikvf2fgspehiamvcygedwy

Ego-centric and allo-centric abstraction in self-organized hierarchical neural networks

Michail Maniadakis, Jun Tani, Panos Trahanias
2011 2011 IEEE International Conference on Development and Learning (ICDL)  
The systematic study of the internal network mechanisms has showed that effective neural assemblies are developed by placing allo-centric information in the upper levels of the cognitive hierarchy, followed  ...  To operate efficiently in varying circumstances, artificial agents are necessary to consider both ego-centric (i.e. self-centered) and allo-centric (i.e. other-centered) information, which are further  ...  Then we present the obtained results focusing on the ego-centric and allo-centric mechanisms self-organized in the neural network.  ... 
doi:10.1109/devlrn.2011.6037347 dblp:conf/icdl-epirob/ManiadakisTT11 fatcat:igpugrrxdfgrbayuqvjbv6rpse

Conference: Morphological, Natural, Analog and Other Unconventional Forms of Computing for Cognition and Intelligence, Berkeley 2019

Marcin J. Schroeder, Gordana Dodig-Crnkovic
2020 Proceedings (MDPI)  
meaning of Information?"  ...  The present paper, written by the organizers of the conference, reports the objectives of MORCOM 2019 and provides an overview of the contributions.  ...  network in the human brain is a self-organized system in which this self-organization is an active foundation of learning.  ... 
doi:10.3390/proceedings47010022 fatcat:3cjtym4cazfcrbmj7hm5vm36se

Emergentist View on Generative Narrative Cognition: Considering Principles of the Self-Organization of Mental Stories

Taisuke Akimoto
2018 Advances in Human-Computer Interaction  
In particular, we classify the principles of the self-organization of a mental world into five types of generative actions, i.e., connective, hierarchical, contextual, gathering, and adaptive.  ...  Our basic idea can be described as follows: stories are representational elements forming an agent's mental world and are also living objects that have the power of self-organization.  ...  terms) is generally assumed as a type of self-organization phenomenon.  ... 
doi:10.1155/2018/6780564 fatcat:fkzt4a5utzbwzgdooz6ujvnfmm

Intelligent Infromation Dissemination in Vehicular AD HOC Networks

M.S Kakkasageri, S.S Manvi
2011 International Journal of Ad Hoc, Sensor and Ubiquitous Computing  
Some of the performance parameters analyzed are bandwidth utilized, push latency and push/pull decision latency. KEYWORDS Vehicular ad hoc networks, Cognitive agents, Push-pull concept  ...  Proposed model uses cognitive agent concept for realizing intelligent information dissemination. To test the efficiency of the model, proposed scheme is simulated using NS-2 simulator.  ...  INTRODUCTION A Mobile Ad-hoc Network (MANET) is comprised of a group of mobile nodes, which have the capability of self-organization in a decentralized fashion and without fixed infrastructure.  ... 
doi:10.5121/ijasuc.2011.2110 fatcat:g3dog7kuhbcnfko7rpc7xuuk3a

Self-optimized Cognitive Network of Networks

A. Manzalini, P. H. Deussen, S. Nechifor, M. Mamei, R. Minerva, C. Moiso, A. Salden, T. Wauters, F. Zambonelli
2010 Computer journal  
resources interconnected by dynamic networks of networks.  ...  and cross-network domain selfmanagement, self-control and self-optimization, while being compatible with legacy management and control systems.  ...  to the development of vision and perspectives reported in this paper.  ... 
doi:10.1093/comjnl/bxq032 fatcat:ygjyqzlp7jadvjuxpgxulsxofq

Infusing Autopoietic and Cognitive Behaviors into Digital Automata to Improve Their Sentience, Resilience, and Intelligence

Rao Mikkilineni
2022 Big Data and Cognitive Computing  
We propose a new architecture applying the general theory of information (GTI) and pave the path to make digital automata mimic living organisms by exhibiting autopoiesis and cognitive behaviors.  ...  The new science, based on GTI, asserts that information is a fundamental constituent of the physical world and that living beings convert information into knowledge using physical structures that use matter  ...  Acknowledgments: The author wishes to thank Mark Burgin for various in-depth discussions on the general theory of information and the theory of structural machines.  ... 
doi:10.3390/bdcc6010007 fatcat:4oavln3mwreyvlu7t77fn6i6se
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