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Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis

Federico Cerutti, Moustafa Alzantot, Tianwei Xing, Daniel Harborne, Jonathan Z. Bakdash, Dave Braines, Supriyo Chakraborty, Lance Kaplan, Angelika Kimmig, Alun Preece, Ramya Raghavendra, Murat Sensoy (+1 others)
2018 2018 21st International Conference on Information Fusion (FUSION)  
., accurate and deep understanding of a situation derived from uncertain and often sparse data and collective foresight-i.e., the ability to predict what will happen in the future.  ...  In this paper we provide a critical analysis with metrics that will inform guidelines for designing distributed systems for Collective Situational Understanding (CSU).  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the U.S.  ... 
doi:10.23919/icif.2018.8455458 dblp:conf/fusion/CeruttiAXHBBCKK18 fatcat:ktslx27imbe5jbqcjduzgcq35q

Predictive modeling of everyday behavior from large-scale data

2009 Synthesiology English edition  
Bayesian networks can represent causality relationship as graphical structures. Such models should include situations and contexts of daily life behavior through real services.  ...  In order to collect large-scale data connected with them, we have to provide real services supported by many users. This concept is named "Research as a service" and discussed in this paper.  ...  When the network is viewed without considering the direction of links and there is a portion in which even one path is somehow looping, this Bayesian network is called multiply connected.  ... 
doi:10.5571/syntheng.2.1 fatcat:gkwssij2wvbm3dlqavu63kmyve

Deep learning for situational understanding

Supriyo Chakraborty, Alun Preece, Moustafa Alzantot, Tianwei Xing, Dave Braines, Mani Srivastava
2017 2017 20th International Conference on Information Fusion (Fusion)  
In this paper, we characterize the Coalition Situational Understanding (CSU) problem in terms of fusion, temporal, distributed, and human requirements.  ...  It will often be necessary for a human to be in the loop in SU processes, to provide key input and guidance, and to interpret outputs in a way that necessitates a degree of transparency in the processing  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the U.S.  ... 
doi:10.23919/icif.2017.8009785 dblp:conf/fusion/ChakrabortyPAXB17 fatcat:khbyqm4f7rea7f54cyjo4ne5ly

Influence of network topology and data collection on network inference

V Anne Smith, Erich D Jarvis, Alexander J Hartemink
2003 Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing  
Here, we seek to determine the degree to which the network topology and data sampling regime influence the ability of our Bayesian network inference algorithm, NETWORKINFERENCE, to recover gene regulatory  ...  These results further elucidate the possibilities and limitations of network inference based on biological data.  ...  Songbirds are vocal learners, along with only five other animal groups, including humans, and thus provide a model system for understanding human language [5] .  ... 
pmid:12603026 fatcat:oiizxsdu2re3jpnvghswwn6tya

A Bayesian Driver Agent Model for Autonomous Vehicles System Based on Knowledge-Aware and Real-Time Data

Jichang Ma, Hui Xie, Kang Song, Hao Liu
2021 Sensors  
The decision module based on dynamic Bayesian network (DBN) then makes an inferred decision using the traffic scene's feature values.  ...  systems in terms of accuracy and robustness.  ...  Funding: This research was supported by the Tianjin Science and Technology Committee through the research project of the key technologies for self-driving automobiles [Award Number 17ZXRGGX00140].  ... 
doi:10.3390/s21020331 pmid:33418987 fatcat:4wcdmmr32fcajfyl56calwb2vm

Uncertainty Aware AI ML: Why and How [article]

Lance Kaplan, Federico Cerutti, Murat Sensoy, Alun Preece, Paul Sullivan
2018 arXiv   pre-print
Furthermore, the paper defines uncertainty-awareness and lays out the challenges along with surveying some promising research directions.  ...  This paper argues the need for research to realize uncertainty-aware artificial intelligence and machine learning (AI\&ML) systems for decision support by describing a number of motivating scenarios.  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the U.S.  ... 
arXiv:1809.07882v1 fatcat:uttcg75g6bhbpg3m5wsg7gfl3m

The Belief of World Records Fusion and its Software to Cyber Protection

2019 International journal of recent technology and engineering  
The effects of the generalization of records fusion strategies are then analyzed, and the ensuing improvements in the network protection of vital infrastructures are described and quantified.  ...  Worldwide statistics Fusion is one of the foremost technologies utilized in complicated structures.  ...  information arising from external intelligence resources; c) Human-Agent in the Loop, which plays operations with the aid of a human operator within the decision loop; d) Center Processor, which mixes  ... 
doi:10.35940/ijrte.d1106.1284s319 fatcat:ukninmfhpbgwzo4bl4wgfohpnq

Bayesian network model of overall print quality: Construction and structural optimisation

Tuomas Eerola, Lasse Lensu, Joni-Kristian Kamarainen, Tuomas Leisti, Risto Ritala, Göte Nyman, Heikki Kälviäinen
2011 Pattern Recognition Letters  
Despite the several proposed models and methods, there exists a gap between the instrumental measurements of print and human visual assessment of natural images.  ...  It is also shown that the best-performing network establishes a clear and intuitively correct structure between the objective measurements and psychometric data.  ...  The authors would like to thank also the Finnish Funding Agency for Technology and Innovation (TEKES) and partners of the DigiQ project (No. 40176/06) for support.  ... 
doi:10.1016/j.patrec.2011.04.006 fatcat:oidxps33uvbtlecd5frlkmqn7y

Modeling human reasoning about meta-information

Sean L. Guarino, Jonathan D. Pfautz, Zach Cox, Emilie Roth
2009 International Journal of Approximate Reasoning  
Herein, we describe the application of Bayesian belief networks to model how humans calculate, aggregate, and reason about meta-information when making decisions. Published by Elsevier Inc.  ...  Human behavior models (HBMs) therefore require the development of representations of both information and meta-information.  ...  W911QX-04-C-0063, and NASA Contract No. NNS04AA26C. The authors would like to express their deepest gratitude to the different domain experts interviewed and observed as part of their analysis.  ... 
doi:10.1016/j.ijar.2008.04.009 fatcat:gqxspye7obdphf25vamqhhidju

Distributed opportunistic sensing and fusion for traffic congestion detection

Alistair Notile, Daniel Harborne, Dave Braines, Moustafa Alzantot, Santiago Quintana-Amate, Richard Tomsett, Lance Kaplan, Mani B. Srivastava, Supriyo Chakraborty, Alun Preece
2017 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)  
Our particular research in the Distributed Analytics and Information Science International Technology Alliance (DAIS ITA) is focused on "Anticipatory Situational Understanding for Coalitions".  ...  This paper takes the concrete example of detecting and predicting traffic congestion in the UK road transport network from existing generic sensing sources, such as real-time CCTV imagery and video, which  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the U.S.  ... 
doi:10.1109/uic-atc.2017.8397425 dblp:conf/uic/NotileHBAQTKSCP17 fatcat:n6yssmajcnbmflcpbhon6tschm

Implication Of Culture: User Roles In Information Fusion For Enhanced Situational Understanding

Erik Blasch, Maria Nilsson, Pierre Valin, Joeri Van Laere, Eloi Bosse, Elisa Shahbazian
2009 Zenodo  
In this paper, we explore opportunities where information fusion can aid in the selection and processing of the data for enhanced tacit knowledge understanding by (1) display fusion for data presentation  ...  Typically, data is collected and processed for object location (e.g. target identification) and movement (e.g. tracking); however, high-level reasoning or situational understanding depends on the spatial  ...  fusion (KBIF) strategies such as neural networks, fuzzy logic, Bayesian networks, evolutionary computing, and expert systems  ... 
doi:10.5281/zenodo.22983 fatcat:5qllin7bb5dlnn2tjoxr36wbmu

Generating Diagnostic Bayesian Networks from Qualitative Causal Models

Denis Kirchhubel, Thomas Martini Jorgensen
2019 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)  
Safety and efficiency of modern industrial plants can be improved by providing operators with effective digital assistants to diagnose abnormal situations occurring in the plant.  ...  We investigate the translation of qualitative causal models into Bayesian belief networks (BBN) to utilize efficient tools for probability inference.  ...  ACKNOWLEDGMENT The authors thank Hugin Expert A/S for providing the trial license of Hugin Researcher used to generate the results in this work.  ... 
doi:10.1109/etfa.2019.8869461 dblp:conf/etfa/KirchhubelJ19 fatcat:jxtjffy4i5fkzcwkjzz5ievdve

Gaining an Edge in Cyberspace with Advanced Situational Awareness

Vincent Lenders, Axel Tanner, Albert Blarer
2015 IEEE Security and Privacy  
A new cyber-situational awareness framework relies on the OODA (observe, orient, decide, act) cycle to provide near real-time cognitive mapping for corporate environments.  ...  Organizations that rely on cyberspace as a mission-critical asset require advanced situational awareness to maintain a tactical advantage over emerging threats.  ...  Acknowledgments We thank Stefan Engel and Marc Stoecklin for their valuable contributions during the project and the reviewers for their very constructive feedback to the article.  ... 
doi:10.1109/msp.2015.30 fatcat:3ze2ygkasvdytajncl2iwvvwqe

How Cognitive Models of Human Body Experience Might Push Robotics

Tim Schürmann, Betty Jo Mohler, Jan Peters, Philipp Beckerle
2019 Frontiers in Neurorobotics  
While model accuracy is still subject to improvement, human-inspired cognitive models support the understanding of how the modulating factors of human body experience are blended.  ...  In the last decades, cognitive models of multisensory integration in human beings have been developed and applied to model human body experience.  ...  ., by human-in-the-loop approaches.  ... 
doi:10.3389/fnbot.2019.00014 pmid:31031614 pmcid:PMC6470381 fatcat:gc64p4mctjehhi3p7d47breyxm

Analysis framework of network security situational awareness and comparison of implementation methods

Yan Li, Guang-qiu Huang, Chun-zi Wang, Ying-chao Li
2019 EURASIP Journal on Wireless Communications and Networking  
In this regard, a thorough investigation has been made in the present paper into the literature of network security situational awareness.  ...  In an attempt to provide a panoramic recognition of network security situational awareness, and auxiliary ideas for the industrialization of network security, this paper aims to provide some references  ...  He is currently working in the School of Management of Xi'an Polytechnic University. His main research directions include system engineering, big data application analysis, and network security.  ... 
doi:10.1186/s13638-019-1506-1 fatcat:lzamend3krbfhmntenrhmywx2u
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