Open multi-agent architecture for information fusion

The management of information from multiple sources of information requires processes that can address the sources of information individually and subsequently facilitate the fusion of information efficiently and automatically. There are many types of information fusion techniques and data processing techniques in use today, but it would be interesting to create a system that allows creating information workflow solutions semi-automatically or automatically, and exploring solutions autonomously. This paper proposes a virtual organization of agents that can create a system to facilitate the automatic processing of information. The architecture is applied to a case study in an indoor location where information is taken from different sensors.

[1]  T. Nagata,et al.  A Multiagent Approach to Power System Restoration , 2002, IEEE Power Engineering Review.

[2]  Javier Bajo,et al.  Context-aware multiagent system: Planning home care tasks , 2013, Knowledge and Information Systems.

[3]  Tom Drummond,et al.  Machine Learning for High-Speed Corner Detection , 2006, ECCV.

[4]  Javier Bajo,et al.  Evaluation and Monitoring of the Air-Sea Interaction Using a CBR-Agents Approach , 2005, ICCBR.

[5]  Javier Bajo,et al.  Mitigation of the ground reflection effect in real-time locating systems based on wireless sensor networks by using artificial neural networks , 2012, Knowledge and Information Systems.

[6]  Sung-Bong Yang,et al.  gkDtree: A group-based parallel update kd-tree for interactive ray tracing , 2013, J. Syst. Archit..

[7]  Juan M. Corchado,et al.  Introducing a Distributed Architecture for Heterogeneous Wireless Sensor Networks , 2009, IWANN.

[8]  Antonio Alfredo Ferreira Loureiro,et al.  MANNA: a management architecture for wireless sensor networks , 2003, IEEE Commun. Mag..

[9]  Juan M. Corchado,et al.  Unsupervised neural method for temperature forecasting , 1999, Artif. Intell. Eng..

[10]  Javier Bajo,et al.  Real time positioning system using different sensors , 2013, Proceedings of the 16th International Conference on Information Fusion.

[11]  Javier Bajo,et al.  GerAmi: Improving Healthcare Delivery in Geriatric Residences , 2008, IEEE Intelligent Systems.

[12]  Javier Bajo,et al.  Biomedic Organizations: An intelligent dynamic architecture for KDD , 2013, Inf. Sci..

[13]  Yong Li,et al.  A Cooperative Ad Hoc Routing Based on Cluster Agent , 2011, 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing.

[14]  Juan M. Corchado,et al.  Agents and ambient intelligence: case studies , 2010, J. Ambient Intell. Humaniz. Comput..

[15]  Juan Manuel Corchado Rodríguez Redes neuronales artificiales: un enfoque práctico , 2000 .

[16]  Javier Bajo,et al.  Ovamah: Multiagent-based adaptive virtual organizations , 2009, 2009 12th International Conference on Information Fusion.

[17]  Yong Zhao,et al.  Cloud Computing and Grid Computing 360-Degree Compared , 2008, GCE 2008.

[18]  Doug Schuler,et al.  Social computing , 1994, CACM.

[19]  Miguel A. Labrador,et al.  G-Sense: a scalable architecture for global sensing and monitoring , 2010, IEEE Network.

[20]  Javier Bajo,et al.  Implementing a hardware-embedded reactive agents platform based on a service-oriented architecture over heterogeneous wireless sensor networks , 2013, Ad Hoc Networks.

[21]  Stefan Hougardy,et al.  The Floyd-Warshall algorithm on graphs with negative cycles , 2010, Inf. Process. Lett..

[22]  Vicent J. Botti,et al.  Agent-based virtual organization architecture , 2011, Eng. Appl. Artif. Intell..

[23]  Juan M. Corchado,et al.  Adaptation of Cases for Case Based Forecasting with Neural Network Support , 2000, Soft Computing in Case Based Reasoning.

[24]  Javier Bajo,et al.  idMAS-SQL: Intrusion Detection Based on MAS to Detect and Block SQL injection through data mining , 2013, Inf. Sci..

[25]  Javier Bajo,et al.  PANGEA - Platform for Automatic coNstruction of orGanizations of intElligent Agents , 2012, DCAI.

[26]  Erik Blasch,et al.  Level 5 (User Refinement) issues supporting Information Fusion Management , 2006, 2006 9th International Conference on Information Fusion.

[27]  Javier Bajo,et al.  Model of experts for decision support in the diagnosis of leukemia patients , 2009, Artif. Intell. Medicine.

[28]  Leo Breiman,et al.  Bagging Predictors , 1996, Machine Learning.

[29]  Wei Hong,et al.  Proceedings of the 5th Symposium on Operating Systems Design and Implementation Tag: a Tiny Aggregation Service for Ad-hoc Sensor Networks , 2022 .

[30]  Adnan Al-Anbuky,et al.  An Ontology-Based Context Model for Wireless Sensor Network (WSN) Management in the Internet of Things , 2013, J. Sens. Actuator Networks.

[31]  Lingfeng Wang,et al.  Multi-agent control system with information fusion based comfort model for smart buildings , 2012 .

[32]  Javier Bajo,et al.  Improving the security level of the FUSION@ multi-agent architecture , 2012, Expert Syst. Appl..

[33]  Javier Bajo,et al.  Stereo Video Surveillance Multi-agent System: New Solutions for Human Motion Analysis , 2011, Journal of Mathematical Imaging and Vision.

[34]  Hussein A. Abbass,et al.  A novel mixture of experts model based on cooperative coevolution , 2006, Neurocomputing.

[35]  Javier Bajo,et al.  FUSION@, A SOA-Based Multi-agent Architecture , 2008, DCAI.

[36]  Vicent J. Botti,et al.  Agreement technologies and their use in cloud computing environments , 2012, Progress in Artificial Intelligence.

[37]  Javier Bajo,et al.  S-MAS: An adaptive hierarchical distributed multi-agent architecture for blocking malicious SOAP messages within Web Services environments , 2011 .

[38]  Javier Bajo,et al.  Case-based reasoning as a decision support system for cancer diagnosis: A case study , 2009, Int. J. Hybrid Intell. Syst..

[39]  Juan M. Corchado,et al.  CBR based system for forecasting red tides , 2003, Knowl. Based Syst..

[40]  Fredrick Mtenzi,et al.  Intrusion Detection Based on Data Mining , 2009, 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing.

[41]  R. Quinlan,et al.  Decision tree discovery , 1999 .

[42]  Javier Bajo,et al.  An execution time neural-CBR guidance assistant , 2009, Neurocomputing.

[43]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[44]  Kwang Mong Sim,et al.  Self-Organizing Agents for Service Composition in Cloud Computing , 2010, 2010 IEEE Second International Conference on Cloud Computing Technology and Science.

[45]  Leo Breiman,et al.  Bagging Predictors , 1996, Machine Learning.

[46]  Javier Bajo,et al.  Model for assigning roles automatically in egovernment virtual organizations , 2012, Expert Syst. Appl..

[47]  Angélica González,et al.  Combining case-based reasoning systems and support vector regression to evaluate the atmosphere–ocean interaction , 2010, Knowledge and Information Systems.

[48]  Rajkumar Buyya,et al.  Article in Press Future Generation Computer Systems ( ) – Future Generation Computer Systems Cloud Computing and Emerging It Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility , 2022 .

[49]  Juan M. Corchado,et al.  SCMAS: A distributed hierarchical multi-agent architecture for blocking attacks to databases , 2010 .

[50]  Alan N. Steinberg,et al.  Revisions to the JDL data fusion model , 1999, Defense, Security, and Sensing.

[51]  J. K. Kok,et al.  PowerMatcher: multiagent control in the electricity infrastructure , 2005, AAMAS '05.

[52]  Yoav Freund,et al.  Experiments with a New Boosting Algorithm , 1996, ICML.

[53]  Thomas Staub,et al.  MARWIS: A Management Architecture for Heterogeneous Wireless Sensor Networks , 2008, WWIC.

[54]  Javier Bajo,et al.  Mathematical model for dynamic case-based planning , 2009, Int. J. Comput. Math..

[55]  Javier Bajo,et al.  Real-time CBR-agent with a mixture of experts in the reuse stage to classify and detect DoS attacks , 2011, Appl. Soft Comput..

[56]  Erik Blasch,et al.  JDL level 5 fusion model: user refinement issues and applications in group tracking , 2002, SPIE Defense + Commercial Sensing.

[57]  Javier Bajo,et al.  A multi-agent system for web-based risk management in small and medium business , 2012, Expert Syst. Appl..

[58]  Wenqiang Wang,et al.  The National Weather Sensor Grid: a large-scale cyber-sensor infrastructure for environmental monitoring , 2010, Int. J. Sens. Networks.