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Personal Universes: A Solution to the Multi-Agent Value Alignment Problem [article]

Roman V. Yampolskiy
2019 arXiv   pre-print
AI Safety researchers attempting to align values of highly capable intelligent systems with those of humanity face a number of challenges including personal value extraction, multi-agent value merger and  ...  In this paper we assume that the value extraction problem will be solved and propose a possible way to implement an AI solution which optimally aligns with individual preferences of each user.  ...  Special thank you goes to all NPCs in this universe.  ... 
arXiv:1901.01851v1 fatcat:7ejig7rmjzbidlgaipai5dma3m

Towards a "4I" approach to personalized healthcare

Philip R O Payne, Clay B Marsh
2012 Clinical and Translational Medicine  
In response to this gap in knowledge, we propose such a framework for the advancement of biomedical informatics in order to address the fundamental information needs of the personalized healthcare domain  ...  Personalized healthcare holds the promise of ensuring that every patient receives optimal wellness promotion and clinical care based upon his or her unique and multi-factorial phenotype, informed by the  ...  Acknowledgements This work was supported by the OSU Center for Clinical and Translational Science (U54RR024384, PI: R. Jackson).  ... 
doi:10.1186/2001-1326-1-14 pmid:23369359 pmcid:PMC3560982 fatcat:zdq77dlyvvadvo5slhkqu6onoe

Kinetic models of opinion formation in the presence of personal conviction

Carlo Brugna, Giuseppe Toscani
2015 Physical Review E  
, which now are assumed to depend on the personal degree of conviction.  ...  We consider a nonlinear kinetic equation of Boltzmann type which takes into account the influence of conviction during the formation of opinion in a system of agents which interact through the binary exchanges  ...  Resembling the model for wealth exchange in a multi-agent society introduced in [26] , this new has an additional parameter to quantify the personal conviction, representing a measure of the influencing  ... 
doi:10.1103/physreve.92.052818 pmid:26651755 fatcat:hcrxdhrodrc7vldca4wqvbq2zi

Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning [article]

Jinghuan Shang, Michael S. Ryoo
2021 arXiv   pre-print
Third-person imitation learning (TPIL) is the concept of learning action policies by observing other agents in a third-person view (TPV), similar to what humans do.  ...  Humans learn to imitate by observing others. However, robot imitation learning generally requires expert demonstrations in the first-person view (FPV).  ...  ACKNOWLEDGMENT We thank the reviewers for their comments that greatly improved the manuscript.  ... 
arXiv:2108.01069v1 fatcat:w4kswzgqiffa3ifwn34src4s24

Technology-facilitated Societal Consensus

Timotheus Kampik, Amro Najjar
2019 Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization - UMAP'19 Adjunct  
concept to address this problem.  ...  The spread of radical opinions, facilitated by homophilic Internet communities (echo chambers), has become a threat to the stability of societies around the globe.  ...  The proposed architecture is merely a partial solution to the problem in focus; it is unlikely that the problems at hand can be solved with a technocratic approach alone.  ... 
doi:10.1145/3314183.3323451 dblp:conf/um/KampikN19 fatcat:klhzo2l5vrfg7djnsodvo2jswm

EgoCom: A Multi-person Multi-modal Egocentric Communications Dataset

Curtis Northcutt, Shengxin Zha, Steven Lovegrove, Richard Newcombe
2020 IEEE Transactions on Software Engineering  
Multi-modal datasets in artificial intelligence (AI) often capture a third-person perspective, but our embodied human intelligence evolved with sensory input from the egocentric, first-person perspective  ...  EgoCom is a first-of-its-kind natural conversations dataset containing multi-modal human communication data captured simultaneously from the participants' egocentric perspectives.  ...  ., 1998) ; teaching a personal assistant when to help ; autonomous multi-agent collaboration (DeVault et al., 2015) ; or attention measurement in affective computing (El Kaliouby et al., 2006) .  ... 
doi:10.1109/tpami.2020.3025105 pmid:32946385 fatcat:7nsepwlm6ng5bfuv6zxyiduuku

Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends [article]

Asmat Zahra, Nazia Perwaiz, Muhammad Shahzad, Muhammad Moazam Fraz
2022 arXiv   pre-print
It aims to automatically identify/search persons in a multi-camera network having non-overlapping field-of-views.  ...  For the first time a survey of this type have been presented where the person re-Id approaches are reviewed in such solution-oriented perspective.  ...  is considered as a general solution to multi-level learning problem.  ... 
arXiv:2202.13121v1 fatcat:luwwbcwspndqpauj4dosmmojee

EgoCom: A Multi-person Multi-modal Egocentric Communications Dataset

Curtis Northcutt, Shengxin Zha, Steven Lovegrove, Richard Newcombe
2020 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Multi-modal datasets in artificial intelligence (AI) often capture a third-person perspective, but our embodied human intelligence evolved with sensory input from the egocentric, first-person perspective  ...  EgoCom is a first-of-its-kind natural conversations dataset containing multi-modal human communication data captured simultaneously from the participants' egocentric perspectives.  ...  This system is useful as an aid for persons dealing with autism (Dobbinson et al., 1998) ; teaching a personal assistant when to help ; autonomous multi-agent collaboration (DeVault et al., 2015) ; or  ... 
doi:10.1109/tpami.2020.3025105 fatcat:pxgvb6i3uvc5jlpubqs2ieali4

Deep Multi-Shot Network for modelling Appearance Similarity in Multi-Person Tracking applications [article]

María J. Gómez-Silva
2020 arXiv   pre-print
The automatization of Multi-Object Tracking becomes a demanding task in real unconstrained scenarios, where the algorithms have to deal with crowds, crossing people, occlusions, disappearances and the  ...  between person observations.  ...  We gratefully acknowledge the support of NVIDIA Corporation with the donation of the GPUs used for this research.  ... 
arXiv:2004.03531v1 fatcat:cm42qucp3bejvbvfgi37xvqj6i

First Person Indoor/Outdoor Augmented Reality Application: ARQuake

Bruce Thomas, Ben Close, John Donoghue, John Squires, Phillip De Bondi, Wayne Piekarski
2002 Personal and Ubiquitous Computing  
ARQuake is an extension of the desktop game Quake, and as such we are investigating how to convert a desktop first person application into an outdoor/indoor mobile augmented reality application.  ...  Usability issues such as monster selection, colour, input devices, and multi-person collaboration are discussed.  ...  Acknowledgments For their support of this project, we would like to thank the Advanced Computing Research Centre of the University of South Australia; John Maraist; Arron Piekarski; and the Defence Science  ... 
doi:10.1007/s007790200007 fatcat:ll5t4hechregdi6wi4q4nkd6gi

Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management [article]

Alexandre Parmentier, Robin Cohen, Xueguang Ma, Gaurav Sahu, Queenie Chen
2021 arXiv   pre-print
We conclude with a reflection on a particularly vulnerable user base, older adults, in order to illustrate the value of reasoning about groups of users, looking to some future directions for integrating  ...  In particular, we propose a data-driven multi-faceted trust modeling which incorporates many distinct features for a comprehensive analysis.  ...  Acknowledgements We are grateful to the reviewers for their valuable feedback on an earlier version of this paper.  ... 
arXiv:2111.06440v1 fatcat:cgheigrqmjf2rl6n5ly5yudywm

Person Centered Care and Personalized Medicine: Irreconcilable Opposites or Potential Companions?

Leila El-Alti, Lars Sandman, Christian Munthe
2017 Health Care Analysis  
This paper reviews existing literature in both medicine and related philosophy to analyze closer the meaning of the two notions, and to explore the extent to which they overlap or oppose each other, in  ...  While personalized medicine stems from a biomedical framework, person centered care originates from a caring perspective, and a wish for a more holistic view of patients.  ...  and values, transforms these new tendencies into a potential problem.  ... 
doi:10.1007/s10728-017-0347-5 pmid:28936750 fatcat:bakw7plowfdadiyn5cadxtmxy4

Privacy for Personal Neuroinformatics [article]

Arkadiusz Stopczynski, Dazza Greenwood, Lars Kai Hansen, Alex Pentland
2014 arXiv   pre-print
The same raw EEG signal can be used for example to diagnose mental diseases, find traces of epilepsy, and decode personality traits.  ...  Here we propose an integration of a personal neuroinformatics system, Smartphone Brain Scanner, with a general privacy framework openPDS.  ...  This has resulted in a desire to keep personal data for an as-yet undefined, later purpose and reflects the intrinsic value of personal data to both business and governments.  ... 
arXiv:1403.2745v1 fatcat:wbl5mwllvrb2rktxyqg5kxtpmq

A Multi-User Personal Indoor Localization System Employing Graph-Based Optimization

Michał R. Nowicki, Piotr Skrzypczyński
2019 Sensors  
Personal indoor localization with smartphones is a well-researched area, with a number of approaches solving the problem separately for individual users.  ...  Most commonly, a particle filter is used to fuse information from dead reckoning and WiFi or Bluetooth adapters to provide an accurate location of the person holding a smartphone.  ...  In particular, the solution can be computed efficiently modelling the problem as a factor graph.  ... 
doi:10.3390/s19010157 fatcat:bhcshipudrdztlc3wj7d6j4wtu

Universal Dependencies

Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre, Daniel Zeman
2021 Computational Linguistics  
Universal dependencies (UD) is a framework for morphosyntactic annotation of human language, which to date has been used to create treebanks for more than 100 languages.  ...  In this article, we outline the linguistic theory of the UD framework, which draws on a long tradition of typologically oriented grammatical theories.  ...  We are grateful to Google for sponsoring the UD project in a number of ways, and to the Computational Linguistics reviewers for helpful suggestions.  ... 
doi:10.1162/coli_a_00402 fatcat:v466bmmyqvf7pmvwy6rhgru6fa
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