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Normative Systems Represented as Hybrid Knowledge Bases [chapter]

Marco Alberti, Ana Sofia Gomes, Ricardo Gonçalves, João Leite, Martin Slota
2011 Lecture Notes in Computer Science  
Normative systems have been advocated as an effective tool to regulate interaction in multi-agent systems.  ...  We define a normative scenario as the pair of a set of facts and a set of norms, and give it a formal semantics by translation into an MKNF knowledge base.  ...  Acknowledgments The authors would like to thank Ana Leite for all her advice on the Portuguese Penal Code and Matthias Knorr for discussions on the well-founded semantics for Hybrid MKNF.  ... 
doi:10.1007/978-3-642-22359-4_23 fatcat:ugp6u4ooq5crjae43fnmg65rky

Predicting Purchase Intention of Hybrid Electric Vehicles: Evidence from an Emerging Economy

Nurul Syafiqah Tanwir, Muhammad Iskandar Hamzah
2020 World Electric Vehicle Journal  
with environmental knowledge as an additional variable.  ...  This study aims to investigate the determinants that influence individuals' intention to purchase hybrid vehicles, through the development of a research model based on the Theory of Planned Behavior, integrated  ...  As represented in Table 3 , one item is deleted from the structure of environmental knowledge, as the factor loading exhibited is lower than the significant loading value.  ... 
doi:10.3390/wevj11020035 fatcat:ye42psc3tngzbpyupubhj7mbya

Rule-induction and case-based reasoning: hybrid architectures appear advantageous

N. Cercone, Aijun An, C. Chan
1999 IEEE Transactions on Knowledge and Data Engineering  
We then examine some interesting hybrid combinations of these systems, and explain their strengths and weaknesses as learning systems.  ...  We briefly survey several major rule-induction and case-based reasoning ML systems.  ...  ACKNOWLEDGMENTS The authors are members of the Institute for Robotics and Intelligent Systems (IRIS) and wish to acknowledge the support of the Networks of Centers of Excellence Program of the government  ... 
doi:10.1109/69.755625 fatcat:luxt5gg325b7xmfezwjjym53ju

Boosting Intelligent Data Analysis in Smart Sensors by Integrating Knowledge and Machine Learning

Piotr Łuczak, Przemysław Kucharski, Tomasz Jaworski, Izabela Perenc, Krzysztof Ślot, Jacek Kucharski
2021 Sensors  
The first module, referred to as the knowledge sub-network, implements knowledge in the Conjunctive Normal Form through a three-layer structure composed of novel types of learnable units, called L-neurons  ...  We show that the proposed hybrid structure successfully combines knowledge and learning, providing high recognition performance even for very limited training datasets, while also benefiting from an abundance  ...  This approach can be seen as a gradual construction of a knowledge base.  ... 
doi:10.3390/s21186168 pmid:34577375 pmcid:PMC8473127 fatcat:ltyovpqv5ngwfcaw2t7lc7pu7y

MKNF Knowledge Bases in Multi-Context Systems [chapter]

Martin Homola, Matthias Knorr, João Leite, Martin Slota
2012 Lecture Notes in Computer Science  
In this paper we investigate the relationship between Multi-Context Systems and Hybrid MKNF Knowledge Bases.  ...  In this paper, we not only show that Hybrid MKNF Knowledge Bases can be used as particular contexts in Multi-Context Systems, but we also provide transformations from the former into the latter, without  ...  Recently, it has been shown in [2, 1] that realistic norms and policies that mimic the real world require a more complex knowledge representation formalism, such as Hybrid MKNF [15] -based on the Logic  ... 
doi:10.1007/978-3-642-32897-8_11 fatcat:mmu7inqpobdidhf2wzdp72lesa

Using a Functional Ontology Of Reputation to interoperate different agent reputation models

Sara Casare, Jaime Simão Sichman
2005 Journal of the Brazilian Computer Society  
This paper presents a Functional Ontology of Reputation that could be used as a common shared reputation knowledge by agents.  ...  We claim that the reputation knowledge structured as an ontology could be used to enable the semantic integration level involved in the interoperation of software agents using different reputation models  ...  ACKNOWLEDGMENTS This work has been developed as part of the projecẗ A proposal for a Functional Ontology of Reputation for normative agents¨, supported by FAPESP, Brazil, grant number 04/15055-6.  ... 
doi:10.1007/bf03192377 fatcat:ts7qq5mx6jb3lf35ena33cjtyi

Using a functional ontology of reputation to interoperate different agent reputation models

Sara Casare, Jaime Simão Sichman
2005 Journal of the Brazilian Computer Society  
This paper presents a Functional Ontology of Reputation that could be used as a common shared reputation knowledge by agents.  ...  We claim that the reputation knowledge structured as an ontology could be used to enable the semantic integration level involved in the interoperation of software agents using different reputation models  ...  ACKNOWLEDGMENTS This work has been developed as part of the project ¨A proposal for a Functional Ontology of Reputation for normative agents¨, supported by FAPESP, Brazil, grant number 04/15055-6.  ... 
doi:10.1590/s0104-65002005000300006 fatcat:kyro7aa4mrflllwykaev5imv7m

Extreme Learning for Evolving Hybrid Neural Networks

Fernando Bordignon, Fernando Gomide
2012 2012 Brazilian Symposium on Neural Networks  
This paper addresses a structure and introduces an evolving learning approach to train uninorm-based hybrid neural networks using extreme learning concepts.  ...  Uninorms bring flexibility and generality to fuzzy neuron models as they can behave like triangular norms, triangular conorms, or in between by adjusting identity elements.  ...  Evolving systems are an alternative and innovative way of adapt, learn and represent knowledge about changing environments [1] .  ... 
doi:10.1109/sbrn.2012.14 dblp:conf/sbrn/BordignonG12 fatcat:t3qbi4b4h5gnfjxlux76tvcib4

How much evidence is in evidence-based policymaking: a case study of an expert group of the European Commission

Jean Philippe Pierre Décieux
2018 Evidence & Policy: A Journal of Research, Debate and Practice  
Thus national experts do not feel invited as expert representing specific knowledge of a discipline.  ...  Evidence-based policy-making as an application of co-produced Knowledge A popular example of knowledge application is evidence-based policy-making (European-Commission, 2001; Krick, 2014) .  ... 
doi:10.1332/174426418x15337551315717 fatcat:djuhwe4nivh3jjppvy34mpgchi

Transdisciplinary Scientific Strategies for Soft Computing Development: Towards an Era of Data and Business Analytics

Rafael A. Espin-Andrade, Witold Pedrycz, Efrain Solares, Laura Cruz-Reyes
2021 Axioms  
They are all integrated into a master strategy called wide knowledge discovery, which offers a way towards the augmented analytics paradigm.  ...  Wide knowledge discovery should be implemented as hybrid systems of three elements: Scientific Strategies of Soft Computing towards Wide Knowledge Discovery A way to represent, a way to evaluate and  ...  knowledge represented 2.  ... 
doi:10.3390/axioms10020093 fatcat:uwsjhk62nnfktf6lwh4ocabwou

Intelligent Systems: Architectures and Perspectives [chapter]

Ajith Abraham
2003 Studies in Fuzziness and Soft Computing  
free optimization techniques such as Evolutionary Computation (EC).  ...  Probabilistic reasoning such as Bayesian belief networks [20] and the Dempster-Shafer theory of belief [36] [86], gives us a mechanism for evaluating the outcome of systems affected by randomness or other  ...  Transformational Hybrid Intelligent System In a transformational hybrid model, the system begins as one type and ends up as the other.  ... 
doi:10.1007/978-3-7908-1770-6_1 fatcat:u7g7qckslzcyxnxghenpzuwpma

Knowledge Refinement Using Fuzzy Compositional Neural Networks [chapter]

Vassilis Tzouvaras, Giorgos Stamou, Stefanos Kollias
2003 Lecture Notes in Computer Science  
Fuzzy relations as representational tools and fuzzy compositional operators as reasoning components, are user in this paper in order to represent knowledge expressed in semantic rules.  ...  Furthermore, neural representation and resolution of composite fuzzy relation equations provides knowledge refinement and adaptation to a specific context.  ...  Introduction Machine learning systems, fuzzy rule based systems and hybrid neurofuzzy systems are widely used for the representation and adaptation of semantic descriptions [5] , [3] , [1] , [8] .  ... 
doi:10.1007/3-540-44989-2_111 fatcat:tbx2geseczby5fyrtzcadpxi6e

Monitoring AI systems: A Problem Analysis, Framework and Outlook [article]

Annet Onnes
2022 arXiv   pre-print
Knowledge-based systems have been used to monitor machines and processes in the real world. In this paper we propose the use of knowledge-based systems to monitor other AI systems in operation.  ...  Scientific Research, https://hybrid-intelligence-centre.nl.  ...  Acknowledgements This research was funded by the Hybrid Intelligence Center, a 10-year programme funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organisation for  ... 
arXiv:2205.02562v1 fatcat:acpskr377zewdmj75bvyt7o3iy

IDENTIFICATION OF HYBRID SYSTEMS USING A PRIORI KNOWLEDGE

Eberhard Münz, Volker Krebs
2002 IFAC Proceedings Volumes  
The identification problem for hybrid systems is formulated as an optimization problem and two possible ways for an approximative solution of the problem are discussed.  ...  An approach for the identification of a class of hybrid systems is presented.  ...  As the simulation results demonstrate, the identification of hybrid systems with non-affine nonlinearities is also possible with the proposed algorithm since the hybrid two-tank system is an example where  ... 
doi:10.3182/20020721-6-es-1901.00563 fatcat:hp6wm7mv5bahtevohxl46dugpi

Modeling Normative Multi-Agent Systems from a Kelsenian Perspective [article]

Christiano Braga, Edward Hermann Haeusler, Jéssica S. Santos
2018 arXiv   pre-print
Standard Deontic Logic (SDL) has been used as the underlying logic to model and reason over Multi-Agent Systems governed by norms (NorMAS).  ...  Due to the autonomy of the software agents of a NorMAS, norms may be violated and the underlying logic used to model the NorMAS should be able to represent violation scenarios.  ...  We chose a different approach, based on Intuitionistic Hybrid Logics (IHL), where norms are nominals, as discussed in Section 3.  ... 
arXiv:1709.02018v2 fatcat:gxrmnbbe5bertjkxjqvs3ojog4
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