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Neural Network Explainable AI Based on Paraconsistent Analysis: An Extension
2021
Electronics
This paper explores the use of paraconsistent analysis for assessing neural networks from an explainable AI perspective. ...
The first was a baseline experiment based on MNIST for establishing the link between paraconsistency and neural networks. ...
Therefore, this article's objective is to report the findings of an initial attempt at using paraconsistent analysis as an explainable approach. ...
doi:10.3390/electronics10212660
fatcat:o23uc24ndfhmpm4i7b67o5ggem
Advances in Sustainable Smart Cities and Territories
2022
Electronics
The smart city concept refers to the implementation of disruptive technologies in the urban environment, with the aim of creating an optimal citizen experience [...] ...
Paraconsistent analysis has been performed to evaluate the use of neural networks from the standpoint of Explainable AI [3] . ...
The objective of the initial experiment was to institute the connection between paraconsistency and neural networks, and it was based on MNIST. ...
doi:10.3390/electronics11081280
fatcat:d4ac2le54jbxjohbz6ri62ltba
An Expert System Structured in Paraconsistent Annotated Logic for Analysis and Monitoring of the Level of Sea Water Pollutants
[chapter]
2011
Expert Systems for Human, Materials and Automation
It was built a configuration of Paraconsistent Artificial Neural Network (PANN) composed of algorithms based on the principals of Paraconsistent Logic to compose the Expert System with the goal of simulating ...
With the due information, we will obtain the favorable evidence degree, one of the inputs of the Paraconsistent Neural network. ...
An Expert System Structured in Paraconsistent Annotated Logic for Analysis and Monitoring of the Level of Sea Water Pollutants, Expert Systems for Human, Materials and Automation, Prof. ...
doi:10.5772/17603
fatcat:gqtloujx2vcddfak3gzrg52mrq
Paraconsistent annotated logic applied to industry assets condition monitoring and failure prevention based on vibration signatures
2022
Research, Society and Development
In this study, we introduced an expert system (ESvbrPAL2v), responsible for monitoring assets based on vibration signature analysis through a set of algorithms based on the Paraconsistent Annotated Logic ...
The tests to confirm the efficiency of ESvbrPAL2v were performed in analyses initially carried out on small prototypes and, after the initial adjustments, tests were carried out on bearings of a group ...
Paraconsistent Artificial Neural Cell of Learning -(LPANCell) Paraconsistent Artificial Neural Cell of Learning (LPANCell) is basically an ordinary PANCell having its initials input values (𝛍𝟏𝐀 𝐚𝐧𝐝 ...
doi:10.33448/rsd-v11i1.25104
fatcat:rvzuyo2mufbzheabjdzgtlbp4e
The General Theory of General Intelligence: A Pragmatic Patternist Perspective
[article]
2021
arXiv
pre-print
logical reasoning, program learning, clustering and attention allocation in the context and language of this high level architecture is considered, as is the importance of a common (e.g. typed metagraph based ...
However, the standard approach to building probability distributions based on Boolean lattices is not the only relevant strategy from an AI point of view. ...
Metagraphs could be used as a conceptual model of AI systems built using conventional neural net architectures, biologically realistic neural net simulations, topological quantum computing based AI fabrics ...
arXiv:2103.15100v3
fatcat:mqomtbl53rfgbbdzqqvlexq4i4
An Approach to Human-Level Commonsense Reasoning
[chapter]
2012
Paraconsistency: Logic and Applications
paraconsistent logic that may be of some use in implementing commonsense reasoning. ...
This paper discusses some of the features of human reasoning that may account for this difficulty, surveys a number of reasoning systems and formalisms, and offers an outline of active logic, a non-classical ...
Figure 11 .1 shows an example of a SNePS semantic network. ...
doi:10.1007/978-94-007-4438-7_12
dblp:series/leus/AndersonGGP13
fatcat:ciggfpulmbdxbfvm5rzuan4eyi
Transhumanities as the Pinnacle and a Bridge
2022
Humanities
This approach turns out to be practical at the epoch of advanced AI. ...
Artificial Intelligence (AI leading to AGI). ...
comments on an earlier version; my Senior Seminar students at UIS for their input, as well as anonymous reviewers for this journal for their important recommendations. ...
doi:10.3390/h11010027
fatcat:d5qjgivblvei3d3vggygedd6ga
Computing Nature – A Network of Networks of Concurrent Information Processes
[chapter]
2013
Computing Nature
through his ideas about morphological computing, "unorganized" (neural-network type) machines and "oracle" machines. ...
Computational processes running in networks of networks (such as the internet) can be modeled as distributed, reactive, agent-based and concurrent computation. ...
vehicles -designed by an imitation based i.e. cultural approach. ...
doi:10.1007/978-3-642-37225-4_1
fatcat:yf7476oh25hobolz2jsmp6dn54
BICA AND BEYOND: HOW BIOLOGY AND ANOMALIES TOGETHER CONTRIBUTE TO FLEXIBLE COGNITION
2010
International Journal of Machine Consciousness
Ongoing investigations based on this approach are discussed, including hypotheses regarding its promise for robust versatile machines. ...
Evolutionary and cognitive examples are used to motivate an approach to the brittleness problem and automated°exible cognition, centering on the notion of an anomaly as the key focus of processing. ...
Acknowledgments This material is based upon work supported in part by NSF Grant #IIS0803739, AFOSR Grant #FA95500910144 and ONR Grant #N000140910328. ...
doi:10.1142/s1793843010000485
fatcat:lqs62tttk5gg5ja77m4rqdwi6y
AAAI 2008 Workshop Reports
2009
The AI Magazine
from AI Research and Applications; and Wikipedia and Artificial Intelligence: An Evolving Synergy. ...
; Human Implications of Human-Robot Interaction; Intelligent Techniques for Web Personalization and Recommender Systems; Metareasoning: Thinking about Thinking; Multidisciplinary Workshop on Advances in ...
Papers covered a wide range of topics, including regression, classification, reinforcement learning, planning, Markov logic networks, and neural networks. ...
doi:10.1609/aimag.v30i1.2196
fatcat:xsrhlc3tgzhzphg3wt57klqvqu
A Survey on the Evolution of the Notion of Context-Awareness
2017
Applied Artificial Intelligence
Based on this context and using a feed-forward neural network, they developed two applications. ...
Artificial Neural Networks Mozer et al. Mozer et al. (1995) and Chen et al. ...
doi:10.1080/08839514.2018.1428490
fatcat:suvchtim55dyxofquxf655fuwy
Resolving conflicts in knowledge for ambient intelligence
2015
Knowledge engineering review (Print)
As such, it is an interesting and challenging application area for many computer science fields and approaches. ...
We take a look at a number of KR approaches that may be applied: context modelling, multi-context systems, belief revision, ontology evolution and debugging, argumentation, preferences, and paraconsistent ...
Acknowledgements This work resulted from the Slovak-Greek bilateral project "Multi-context Reasoning in Heterogeneous environments", registered on the Slovak side under no. ...
doi:10.1017/s0269888915000132
fatcat:dsa3goyft5bfxezoaz7iwuuauu
Real Islamic Logic
[article]
2011
arXiv
pre-print
That approach to Islamic Logic should serve modern Islamic objectives in a way comparable to the functionality of Islamic Finance. ...
Four options for assigning a meaning to Islamic Logic are surveyed including a new proposal for an option named "Real Islamic Logic" (RIL). ...
LP's. 33 Neural network modeling may prove a more effective technique for predicting ICLPP outcomes. ...
arXiv:1103.4515v1
fatcat:rly4acmnn5bxng7tatmu42sjx4
Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review
2021
Diagnostics
The studies are compared based on their contributions, the methods used and the achieved results. ...
Recently, researchers have shown an increasing interest in developing computer-aided diagnosis systems. ...
Finally, an ensemble classifier network that combined fuzzy neural networks with backpropagation (BP) neural network was used to classify the lesions based on the extracted features. ...
doi:10.3390/diagnostics11081390
fatcat:r4gyqfwberfofhcbx2xsn7vpf4
A review on voice pathology: Taxonomy, diagnosis, medical procedures and detection techniques, open challenges, limitations, and recommendations for future directions
2022
Journal of Intelligent Systems
Speech is a primary means of human communication and one of the most basic features of human conduct. Voice is an important part of its subsystems. ...
Moreover, this study presents different applications, open challenges, and recommendations for future directions of IoT systems and artificial intelligence (AI) approaches in the voice pathology diagnosis ...
Neural networks and the hidden Markov model (HMM) are among the most popular nonlinear classifiers. ...
doi:10.1515/jisys-2022-0058
fatcat:dvh3krao6nfjzengdphvrqqdia
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