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On the Utility of Learning about Humans for Human-AI Coordination [article]

Micah Carroll, Rohin Shah, Mark K. Ho, Thomas L. Griffiths, Sanjit A. Seshia, Pieter Abbeel, Anca Dragan
2020 arXiv   pre-print
Given this result, we suggest several approaches for designing agents that learn about humans in order to better coordinate with them.  ...  To demonstrate this, we introduce a simple environment that requires challenging coordination, based on the popular game Overcooked, and learn a simple model that mimics human play.  ...  Acknowledgments We thank the researchers at the Center for Human Compatible AI and the Interact lab for valuable feedback.  ... 
arXiv:1910.05789v2 fatcat:jm2ribhhtjeq5ntwylokycbg2u

Artificial Intelligence and Its Role in Human Resource Management

Inayat Kalra
2020 International journal of modern trends in science and technology  
Merging AI into Human resource functions would be highly beneficial in improving the overall employee experience.  ...  The purpose of present research is to study the application of artificial intelligence in human resource management.  ...  Bersin (2018) , it obviously shows that AI is very utilized in the majority of the zones of the board and furthermore about the dangers that will happen when it isn't utilized appropriately .AI are human  ... 
doi:10.46501/ijmtst060850 fatcat:sorsisvjl5bunktvf4gn47qo24

Contribution of Cognitive Science and Artificial Intelligence in the Simulation of the Complex Human Mind

2020 International journal of recent technology and engineering  
Besides, a portion of the real-time uses of cognitive science artificial intelligence have been taken into consideration as the establishment for more enhancements.  ...  The analytic study of cognitive science ranges numerous degrees of association, from learning and choice to logic and planning; from neural hardware to modular mind organization.  ...  In any case, there was a time at the point when the capacity of AI to engineer minds was addressed because of need for progressive idea on utilization of computation as a standard modeling for language  ... 
doi:10.35940/ijrte.b3900.079220 fatcat:47qfxt6ykzfjnarpfv4clktz44

Pharmaceutical Company's Stock Leap through Machine Learning and AI Driven Input Injection

Apoorva Ganapathy
2021 Zenodo  
It also looked into the advantages of using AI for stock market investors. Some of which are the reduced time of research, reduction of risk, among others.  ...  The term may also be used for any machine or computer that exhibits characteristics resembling the human mind, such as problem-solving and learning.  ...  However, issues like this come to play from time to time as AI technology advances.  Impact of AI on Jobs: The impact of AI on job and employ have raised so much public perception about it.  ... 
doi:10.5281/zenodo.5521690 fatcat:vbks5rc72rf53m6tbnqb424enq

Concept of Artificial Intelligence, its Affect and Developing Patterns

2021 International Journal for Research in Applied Science and Engineering Technology  
While there's a bounty of unused build-up around artificial insights (AI) as we move into the third decade of the 21st century, the history books would tell you that it has been around for a long time.  ...  The application of machine learning first appeared during the Second World War, when a computer scientist named Alan Turning attempted to break a piece of code known as the 'Enigma code,' which was used  ...  Independent vehicles are one innovation that is reliant on profound learning to succeed. For them to think like a human, there should be a network of models working simultaneously.  ... 
doi:10.22214/ijraset.2021.34112 fatcat:wt4ibn7jxbhzdfxcswcaltkx44

Artificial Intelligence Cooperation [article]

Elisa Bertino, Finale Doshi-Velez, Maria Gini, Daniel Lopresti, David Parkes
2020 arXiv   pre-print
There is a vital need for research in "AI and Cooperation" that seeks to understand the ways in which systems of AIs and systems of AIs with people can engender cooperative behavior.  ...  While many cases involving cooperation between humans and AIs will be asymmetric, with the human ultimately in control, AI systems are growing so complex that, even today, it is impossible for the human  ...  The early distributed AI literature studied systems of AIs that all share the same utility function and all want the same things.  ... 
arXiv:2012.06034v1 fatcat:3qudsl3qkzcgdabxjt36gvfzgu

Contribution of Artificial Intelligence and Virtual Worlds towards development of Super Intelligent AI Agents

2020 International Journal of Engineering and Advanced Technology  
worlds have always been a magnificent platform for research on the challenging problems faced in the domain of Artificial Intelligence  ...  However, in the last many years, tremendous popularity has been received by the interactive computer games involving multi-user virtual environment which has been the prime attraction for millions of users  ...  Reinforcement Learning speaks to one of the significant AI zones of research [5] .  ... 
doi:10.35940/ijeat.e9923.069520 fatcat:u3y2yl56pzfqlnjiupavoepqzi

Enhancement in the World of Artificial Intelligence

Suneetha V, Salini Suresh, Niharika Sinha, Sabyasachi Prusty, Syed Jamal J
2020 International Research Journal on Advanced Science Hub  
Artificial Intelligence is a developing zone in the field of innovation and furthermore attempts to show that the eventual fate of AI gains ground so that machines would function according to a human and  ...  A working framework that utilizes AI reasoning procedures has a computerized reasoning motor, and experience scientific and Statistical module, an adjustment module and a UI.  ...  Heuristics It could be a branch of computerized reasoning that worries about the experience-based techniques for the unravelling of issues, learning and disclosure.  ... 
doi:10.47392/irjash.2020.132 fatcat:2wwi5d7a2rgwzmlgv6ijhzthhy

Applications of Machine Learning in Radiology- A review

Rajkumar D
2020 Zenodo  
: Late most encouraging territories of wellbeing development are the utilization of artificial intelligence (AI) and Machine learning (ML) methods in clinical imaging.  ...  In this article, the writers survey instances of current extension and utilization of machine learning strategies in demonstrative radiology.  ...  the unwavering quality and general is ability of AI strategies. • Profound learning frameworks at present exceed expectations in imitating the sort of human judgment that depends simply on design acknowledgement  ... 
doi:10.5281/zenodo.4009021 fatcat:eggdq75opjej7b36pnsuysjue4

Human-Like Agents for a Smartphone First Person Shooter Game Using Crowdsourced Data [chapter]

Christoforos Kronis, Andreas Konstantinidis, Harris Papadopoulos
2013 IFIP Advances in Information and Communication Technology  
Crowdsourced data can therefore be utilized for optimally modeling human-like behavior and improving the realizablity of AI gaming.  ...  The crowdsourced data are used for modeling the human player's behavior with Artificial Neural Networks.  ...  composed of one AI agent and several other human users.  ... 
doi:10.1007/978-3-642-41142-7_17 fatcat:p3xbm2vimvfm5ix5yehsacwwve

The Role of AI on Jobs, Human Rights, and Education during Pre and Post COVID-19 Pandemic

Suraj Kumar Sah, Rabina Shrestha, Mala Deep Upadhaya, Manish Pokharel
2021 Zenodo  
Inducing AI has become one of the most glorious victories in Computer Science. It has helped humans in the traditional way of operating and manipulating the system through advanced AI technology.  ...  Similarly, the paper intends to provide a jumping-off point for further, what AI means for the future of society: A job will be shredded, but not eliminated, and the sole propose to raise awareness and  ...  The research of information utilizing AI frameworks may uncover private data about oneself.  ... 
doi:10.5281/zenodo.4762110 fatcat:r7mxppzkv5cvjftmtsj5yhlrmy

Research on Artificial Intelligence

Ashish Patil, Franklin Almeida, Ajinkya S. Shewale
2020 Zenodo  
The benefits for the much further generation can be also done by Artificial Intelligence Machine Learning, Deep Learning, and Neural Networks are basic concepts of Artificial Intelligence.  ...  In this paper we provide a brief information about aspects of Artificial Intelligence. As we are stepping towards future Artificial Intelligence will become an important feature for Mankind.  ...  Deep Learning Deep Learning is a subset of Machine Learning in Artificial Intelligence that can mimic the data processing function of the human cerebrum and make comparable examples the mind utilized for  ... 
doi:10.5281/zenodo.3952152 fatcat:zhygr4ub2bbtpjxcdi7o44pree

A systematic Approach to Human Motion Recognition using Deep Learning

2021 International Journal of Advanced Trends in Computer Science and Engineering  
A Deep Learning (DL) model using Gated Recurrent Network (GRU) for the classification of human motion. CMU mocap dataset is used for analyzing motion data and modelling the DL framework.  ...  Although the weightage of these applications can be huge in modern technology, not much work on human motion recognition has been done using mocap datasets.  ...  Deep learning is a sub-domain of Artificial intelligence and Machine Learning that follows the operations of the human cerebrum for handling the datasets and perfect decision making.  ... 
doi:10.30534/ijatcse/2021/711032021 fatcat:nyt2wks2cner7fpf72qkqzixii

A Review on Machine Learning and Artificial Intelligence in Management of Storage

Swapnali Rajaram Pawar
2018 IJARCCE  
AI is being utilized or trialed for a scope of social insurance and research purposes, including recognition of sickness, administration of constant conditions, conveyance of wellbeing administrations,  ...  AI can possibly help address vital wellbeing challenges, yet may be restricted by the nature of accessible wellbeing information, and by the powerlessness of AI to show some human attributes.  ...  To begin with, there is administered realizing, where human mediation is required to coordinate the coveted result of learning.  ... 
doi:10.17148/ijarcce.2018.795 fatcat:tzkswo7flzh33pi7mtlbuol25i

Incomplete Contracting and AI Alignment [article]

Dylan Hadfield-Menell, Gillian Hadfield
2018 arXiv   pre-print
We propose a research agenda for AI alignment work that focuses on the problem of how to build AI that can replicate the human cognitive processes that connect individual incomplete contracts with this  ...  We highlight some technical results from the economics literature on incomplete contracts that may provide insights for AI alignment researchers.  ...  Aghion & Tirole (1997) present a model of incomplete contracting that could deepen AI analysis of the impact of human control on AI learning and behavior by modeling both robot and human as strategic  ... 
arXiv:1804.04268v1 fatcat:6kpvm7u32jfjfeaeanj446rb2m
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