A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence
[article]
2021
arXiv
pre-print
Preserved Fulltext
Other Versions
We propose Bayesian Teaching as a framework for unifying explainable AI (XAI) by integrating machine learning and human learning. ...
Methods to explain AI have been proposed to answer this challenge, but a lack of theory impedes the development of systematic abstractions which are necessary for cumulative knowledge gains. ...
Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. ...
arXiv:2105.07508v2
fatcat:2pok6edf5jbtnapyzj5obayt2e
Page 90 of Library & Information Science Abstracts Vol. , Issue 9
[page]
1995
Library & Information Science Abstracts
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
which aims to develop the next generation of generic artificial intelligence tools for military planning, scheduling, and resource allocation and to improve crisis management planning. ...
which aims to develop the next generation of generic artificial intelligence tools for military planning, scheduling, and resource
allocation and to improve crisis management planning. ...
Page 67 of Library & Information Science Abstracts Vol. , Issue 8
[page]
1994
Library & Information Science Abstracts
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Artificial Intelligence in Medicine, 6 (2) Apr 94, p.161-73. il.refs.
A validation methodology is developed in the domain of diabetes and
intended for general use in chronic health management. ...
Original abstract-amended. (SE)
9408490
Methological issues in validating decision-support systems for insulin dosage adjustment. H. J. Leicester et al. ...
Page 1521 of Psychological Abstracts Vol. 62, Issue 6
[page]
1979
Psychological Abstracts
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Results indicate that the use of artificial orthography is not valid when findings are generalized from artificial orthographies to the English alphabet and from various aged individuals to the way young ...
It is suggested that the uniqueness of this sample does not explain doubts concerning the validity of the accepted standards of the test. ...
Explainable Agency in Reinforcement Learning Agents
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
As humans, we build causal models to encode cause-effect relations of events and use these to explain why events happen. ...
This thesis explores how reinforcement learning (RL) agents can provide explanations for their actions and behaviours. ...
regulations for Artificial Intelligence (AI) systems. ...
doi:10.1609/aaai.v34i10.7134
fatcat:iv3swpcy4zhzfhloxfsrmc5h2q
Digital Collaborator: Augmenting Task Abstraction in Visualization Design with Artificial Intelligence
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We then propose a conceptual Digital Collaborator: an artificial intelligence system that aims to help visualization practitioners by augmenting their ability to validate and reason about the output of ...
Under these circumstances, a collaborator can help validate and provide sanity checks to visualization practitioners during this important task abstraction stage. ...
Introduction Artificial intelligence (AI) has been used in the data information community to help improve design of visualizations [5, 10] . ...
arXiv:2003.01304v1
fatcat:hyhdf6l7ebbhdghvfyapyvqdae
Does Artificial Intelligence Have Concept?
2020
Proceedings (MDPI)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Around these questions, this paper will analyze "concept learning of artificial intelligence" and "concept" respectively, so as to preliminarily answer the question "does artificial intelligence have concept ...
In recent years, people in the field of artificial intelligence have also begun to study "concept learning" related to "concept". What is "concept learning" in artificial intelligence? ...
This attempt makes it possible for artificial intelligence to learn the concepts of words. ...
doi:10.3390/proceedings47010049
fatcat:du75en56u5dd7bawb6mwqddw5i
Keyphrase Generation for Scientific Articles Using GANs (Student Abstract)
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In our GAN model, the generator outputs a sequence of keyphrases based on the title and abstract of a scientific article. ...
Our model achieves state-of-the-art performance in generation of abstractive keyphrases and is also comparable to the best performing extractive techniques. ...
Copyright c 2020, Association for the Advancement of Artificial Intelligence (www.aaai.org). ...
doi:10.1609/aaai.v34i10.7238
fatcat:j45hewowpvgj5cqhetgybau7sm
Progressos, reptes i riscos de la Intel·ligència Artificial
2018
Mètode Science Studies Journal: Annual Review
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This text contains some reflections on artificial intelligence (AI). First, I differentiate between strong and weak AI, as well as the concepts related to general and specific AI. ...
Following this, I briefly describe the main current AI models and discuss the need to provide common-sense knowledge to machines in order to advance towards the goal of a general AI. ...
■ ■ DO THE ADVANCES IN SPECIFIC ARTIFICIAL INTELLIGENCE BRING US CLOSER TO GENERAL ARTIFICIAL INTELLIGENCE? ...
doi:10.7203/metode.9.11145
fatcat:k4pbivuilvcsff55x2qhmunm6q
Can Machines Design? An Artificial General Intelligence Approach
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Recent advances in the field of computational creativity and formal Artificial General Intelligence (AGI) provide frameworks for machines with the general ability to design. ...
Can they come up with creative solutions to problems and build tools and artifacts across a wide range of domains? ...
At the same time, the artificial general intelligence community is working on general foundations of intelligence and providing frameworks for formally capturing essential elements of intelligence. ...
arXiv:1806.02091v3
fatcat:6et6ydddj5ambp7jyjcwvuqysi
Compression, The Fermi Paradox and Artificial Super-Intelligence
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
on symbol emergence and artificial general intelligence. ...
The following briefly discusses possible difficulties in communication with and control of an AGI (artificial general intelligence), building upon an explanation of The Fermi Paradox and preceding work ...
Compression, The Fermi Paradox and Artificial Super-Intelligence ...
arXiv:2110.01835v1
fatcat:wjq2zz7lbbgnbckktb34p4yzim
A model for parameter setting based on Bayesian networks
2008
Engineering applications of artificial intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This paper proposes a meta-model that generates the recommendations about the best parameter values for the model of interest. ...
For evaluation purposes and in order to be able to compare our results with results obtained by others, a real geometric problem was selected. ...
Pavón et al. / Engineering Applications of Artificial Intelligence 21 (2008) 14-25 ...
doi:10.1016/j.engappai.2007.02.013
fatcat:uyo5otm5lfbalgmdyfstkulqxy
Applications of Explainable Artificial Intelligence in Diagnosis and Surgery
2022
Diagnostics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Some research has been conducted into explainable artificial intelligence (XAI) to overcome the limitation of the black-box nature of AI methods. ...
In recent years, artificial intelligence (AI) has shown great promise in medicine. However, explainability issues make AI applications in clinical usages difficult. ...
Hence, in Figure 1 , we show the relationship between artificial intelligence, machine learning, deep learning, and explainable artificial intelligence. ...
doi:10.3390/diagnostics12020237
pmid:35204328
pmcid:PMC8870992
fatcat:fk5gbai6szf2vhf222o7p6nkqy
Assessing the Learning of Machine Learning in K-12: A Ten-Year Systematic Mapping
2022
Informatics in Education. An International Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Thus, in order to help students to understand ML, its potential, and limitations and to empower them to become creators of intelligent solutions, diverse courses for teaching ML in K-12 have emerged. ...
These results indicate a need for more rigorous and comprehensive research in this area. ...
Acknowledgments This work was supported by the CNPq (National Council for Scientific and Technological Development), a Brazilian government entity focused on scientific and technological development [Grant ...
doi:10.15388/infedu.2023.11
fatcat:dm6zy42usbez5fk7a26ykojhsm
Auto articles: an experiment in AI-generated content
2020
Nature
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
index MARKUS KAINDL/VOSVIEWER S138 | Nature | Vol 588 | 10 December 2020 Artificial intelligence © 2 0 2 0 S p r i n g e r N a t u r e L i m i t e d . A l l r i g h t s r e s e r v e d . ...
In this context, artificial intelligence and generative models have been used for molecular de novo design and compound optimization. ...
De novo generation of hit-like molecules from gene expression signatures using artificial intelligence. Nature Commun. 11, 10 (2020). ...
doi:10.1038/d41586-020-03416-9
pmid:33299221
fatcat:b6n24nykmrf6jgb43npyufvgmq
« Previous
Showing results 1 — 15 out of 71,015 results