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Facets of Artificial General Intelligence

Kai-Uwe Kühnberger, Pascal Hitzler
2009 Künstliche Intelligenz  
This positive assessment of the very possibility of AGI has partially its roots in the development of new methodological achievements in the AI area, like new learning paradigms and new integration techniques  ...  The article sketches some of these methods as prototypical examples for approaches towards AGI.  ...  Markov and Bayesian Techniques A boost of arousing interest can be traced back to new developments in understanding the behavior of Markov decision processes (MDP) and Bayesian techniques for learning  ... 
dblp:journals/ki/KuhnbergerH09 fatcat:zjd5sq6mx5hdtiquj5lmgni3pq

Integrating Defeasible Argumentation and Machine Learning Techniques [article]

Sergio Alejandro Gomez, Carlos Ivan Chesñevar
2004 arXiv   pre-print
In this paper we outline different alternatives for combining defeasible argumentation and machine learning techniques.  ...  Although ML algorithms allow the detection and extraction of interesting patterns of data for several kinds of problems, most of these algorithms are based on quantitative reasoning, as they rely on training  ...  First, we briefly introduce the components of most argument-based framework and then outline possible directions for the integration of ML techniques and defeasible argumentation.  ... 
arXiv:cs/0402057v2 fatcat:gcxzssyoa5at3jbo2rgfxa4zqm

CAMOU: A Simple Integrated eLearning and Planning Techniques Tool

David Camacho, María Dolores Rodríguez-Moreno, Unai Obieta
2007 International and Interdisciplinary Conference on Modeling and Using Context  
This system, which integrates Artificial Intelligence Planning and Scheduling, analyzes and detects problems in the current tested course, providing new solutions in form of new learning designs that can  ...  In the tool, only some essential learning knowledge will be translated (mapped) and provided to an automatic reasoning system, named ipss.  ...  Acknowledgements This work has been funded by the research projects: CYCIT project TSI 2006-12085 and Junta de Castilla-La Mancha project PAI07-0054-4397.  ... 
dblp:conf/context/CamachoRO07 fatcat:g33voyeonzagrcuo5nl5d2sf2a

TOWARDS INTELLIGENTT SYSTEMS FOR INTEGRATED WESTERN AND EASTERN MEDICINE BY SOFT COMPUTING

Nguyen Hoang Phuong
2002 Journal of Japan Society for Fuzzy Theory and Systems  
Our research is to apply soft computing techniques such as fuzzy logic, neural networks, probabilistic reasoning together with genetic algorithms, chaotic sy$tems and parts of learning  ...  Probabilistic reasoning uses probabilistic technique$ to perform uncertain reasoning in intelligent systems.  ... 
doi:10.3156/jfuzzy.14.3_259 fatcat:xdiongj4vrbdbdk4rv52turtje

IRI 2019 Panel II

2019 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI)  
The main reason behind the success of these AI systems is due to the developments in data science and high-performance computing.  ...  This interest resulted in substantial developments in areas such as expert systems, machine learning, planning systems, reasoning systems and robotics.  ...  AI and Security are being integrated. For example, machine learning techniques are being applied to solve security problems such as malware analysis, intrusion detection and insider threat detection.  ... 
doi:10.1109/iri.2019.00014 fatcat:lzfg7enzmfh6rbjzqg6jpj3fmi

Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning [article]

Artur d'Avila Garcez, Marco Gori, Luis C. Lamb, Luciano Serafini, Michael Spranger, Son N. Tran
2019 arXiv   pre-print
In this paper, we survey recent accomplishments of neural-symbolic computing as a principled methodology for integrated machine learning and reasoning.  ...  We illustrate the effectiveness of the approach by outlining the main characteristics of the methodology: principled integration of neural learning with symbolic knowledge representation and reasoning  ...  CILP allowed for the integration of learning, reasoning and knowledge extraction in recurrent networks.  ... 
arXiv:1905.06088v1 fatcat:gm4f3ncukrbevpd7nq5yr75ar4

The Development of Grade 8 Student Analytical Thinking and Learning Achievement Using the Integrated Problem-Based Learning and Think-Pair-Share Technique

Pitchayakorn Theabthueng, Jatuporn Khamsong, Wittaya Worapun
2022 Journal of Educational Issues  
2) to examine the effect of integrated problem-based learning and Think-Pair-Share technique on the development of grade 8 students' science learning achievement.  ...  The purposes of the current study include (1) to examine the effect of integrated problem-based learning and Think-Pair-Share technique on the development of grade 8 students' analytical thinking and (  ...  the effect of integrated problem-based learning and Think-Pair-Share technique on the development of grade 8 students' science learning achievement.  ... 
doi:10.5296/jei.v8i1.19711 fatcat:jtqwnntayzde5hkpn276z6lxj4

Debriefing methods and techniques used in nursing simulation

Juliana da Silva Garcia Nascimento, Jordana Luiza Gouvêa de Oliveira, Mateus Goulart Alves, Fernanda Titareli Merizio Martins Braga, Fernanda dos Santos Nogueira de Góes, Maria Celia Barcellos Dalri
2020 Revista Gaúcha de Enfermagem  
Results: The identified meaningful learning methods were based on principles of transfer of learning; model of clinical reasoning, interprofessional, with good judgment and structured and self-debriefing  ...  Objective: To identify in the literature methods and techniques of debriefing used in teaching and learning in nursing simulation.  ...  Thus, the objective of this integrative review is to identify in the literature debriefing methods and techniques used for teaching and learning in nursing simulation.  ... 
doi:10.1590/1983-1447.2020.20190182 pmid:32294726 fatcat:2z65jkyi45hxtkcgj5es43yjbm

Chapter 6 Reasoning in Knowledge Graphs: An Embeddings Spotlight [chapter]

Luigi Bellomarini, Emanuel Sallinger, Sahar Vahdati
2020 Lecture Notes in Computer Science  
Complementing these dimensions, we will structure our exploration based on a pragmatic view of reasoning tasks and families of reasoning tasks: reasoning for knowledge integration, knowledge discovery  ...  As in Chap. 2, we will give a broad overview focusing on the multitude of reasoning techniques: spanning logic-based reasoning, embedding-based reasoning, neural network-based reasoning, etc.  ...  Sallinger acknowledges the support of the Vienna Science  ... 
doi:10.1007/978-3-030-53199-7_6 fatcat:ec5n4aednvbwplxgfkcmq3crpq

Modelling and Reasoning Techniques for Context Aware Computing in Intelligent Transportation System [article]

Swarnamugi.M, Chinnaiyan.R
2021 arXiv   pre-print
The objective of this research paper is to highlight context and its features in ITS and to address the applicability of modelling techniques and reasoning approaches in Intelligent Transportation System  ...  Also to shed light on impact of Internet of Things and machine learning in Intelligent Transportation System development.  ...  It is also identified, in recent years, machine learning and deep learning techniques are widely used in the reasoning phase of ITS.  ... 
arXiv:2107.14374v1 fatcat:whe2kjexingwvnacpw7iz7ecrm

Artificial Intelligence for Long-Term Robot Autonomy: A Survey

Lars Kunze, Nick Hawes, Tom Duckett, Marc Hanheide, Tomas Krajnik
2018 IEEE Robotics and Automation Letters  
Some of these have been investigated by sub-disciplines of Artificial Intelligence (AI) including navigation & mapping, perception, knowledge representation & reasoning, planning, interaction, and learning  ...  In this paper, we survey and discuss AI techniques as 'enablers' for long-term robot autonomy, current progress in integrating these techniques within long-running robotic systems, and the future challenges  ...  This aspect of KR and reasoning is strongly linked to work in adaptation and learning (Sec. III-F) as it can trigger learning in LTA systems. D.  ... 
doi:10.1109/lra.2018.2860628 dblp:journals/ral/KunzeHDHK18 fatcat:7unhzdtaiffsdpkgywhl4c63oq

Effective Teaching Methods

Swinton Hudson
2015 Journal of Instructional Research  
Faculty should integrate new techniques, offer new forms of feedback, and make efforts to improve the quality of teaching and learning.  ...  The techniques the learning model with integrated tools (Wesiak, In Steadman's (1998) research, she contended that the purpose of CATs is to "to obtain feedback on teaching and classroom activities, to  ... 
doi:10.9743/jir.2015.12 fatcat:dsxunycdqnhh3na2qp67wwof7i

Case-Based Reasoning Approach to Adaptive Web-Based Educational Systems

Paulo Alves, Luis Amaral, José Pires
2008 2008 Eighth IEEE International Conference on Advanced Learning Technologies  
In this paper, we present a case-based reasoning approach to Adaptive Web-based Educational Systems using fuzzy logic to adapt e-learning contents and contexts according to the student learning style and  ...  The adaptation of past cases to solve new problems is one of the features of case-based reasoning methodology, which can provide an effective knowledge transmission, based on learning activities.  ...  The integration of agents with case-based reasoning methodology permits a more effective learning experience, adapting and personalizing the contents and contexts to the students needs.  ... 
doi:10.1109/icalt.2008.197 dblp:conf/icalt/AlvesAP08 fatcat:m6dymu5ldjbevm3uxk4ninggbi

Improving Study Skills using Program Integrating Reflection Seminars [article]

Björn Hedin, Viggo Kann
2016 arXiv   pre-print
No significant change was found in how satisfied the students were with their overall study technique immediately after the initial module, but in the long term 78% of the students believed the course  ...  had promoted their ability to analyze and adapt their study habits.  ...  If you tried X, what is your perception of the effects on your learning of trying X? (related to RQ4) • Which were the top 3 reasons for not using such a good study technique that you planned?  ... 
arXiv:1608.00633v1 fatcat:yenaixjw4rfrblqr4na7f65l5a

INNOVATION OF INTEGRATIVE-INTERCONNECTIVE ISLAMIC EDUCATION BASED ON DIRECT EXPERIENCE IN UNIVERSITAS BRAWIJAYA MALANG

Nur Chanifah
2020 International Journal of Educational Management and Innovation  
Currently, the implementation of religious education is faced with various problems both internally such as its learning methodology, and externals such as the strengthening of the culture of materialism  ...  The learning paradigm is changed from dichotomous to integrative-interconnective, the learning approach is oriented towards student-centered with focus, namely problem, spiritual-scientific, and philosophical-normative  ...  While the techniques of checking the validity of data include: (1) credibility by using triangulation technique in methods and sources and member check done by confirming data to informants or  ... 
doi:10.12928/ijemi.v1i3.2593 fatcat:pg3lztn6nnh47hzxftarizpmma
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