Logic Negation with Spiking Neural P Systems
暂无分享,去创建一个
Joaquín Borrego-Díaz | Miguel A. Gutiérrez-Naranjo | Daniel Rodríguez-Chavarría | J. Borrego-Díaz | M. A. Gutiérrez-Naranjo | Daniel Rodríguez-Chavarría
[1] Danny De Schreye,et al. Answer Set Planning , 1999 .
[2] Saratha Sathasivam,et al. Kernel machine to doing logic programming in Hopfield network for solve non horn problem-3sat , 2017 .
[3] Gadi Pinkas,et al. Symmetric Neural Networks and Propositional Logic Satisfiability , 1991, Neural Computation.
[4] Gheorghe Paun,et al. The Oxford Handbook of Membrane Computing , 2010 .
[5] Linqiang Pan,et al. Cell-like spiking neural P systems , 2016, Theor. Comput. Sci..
[6] Henry N. Adorna,et al. Spiking neural P systems with structural plasticity , 2015, Neural Computing and Applications.
[7] Son N. Tran,et al. Deep Logic Networks: Inserting and Extracting Knowledge From Deep Belief Networks , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[8] Takashi Ikegami,et al. Reactive, Proactive, and Inductive Agents: An Evolutionary Path for Biological and Artificial Spiking Networks , 2019, Frontiers in Computational Neuroscience.
[9] Zhengyou He,et al. Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems , 2015, IEEE Transactions on Power Systems.
[10] Alexander Binder,et al. Evaluating the Visualization of What a Deep Neural Network Has Learned , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[11] Xiangxiang Zeng,et al. Spiking Neural P Systems with Thresholds , 2014, Neural Computation.
[12] Anthony Kulis,et al. Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies , 2009, Scalable Comput. Pract. Exp..
[13] Pascal Hitzler,et al. Mathematical Aspects of Logic Programming Semantics , 2010, Chapman and Hall / CRC studies in informatics series.
[14] Amina Adadi,et al. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) , 2018, IEEE Access.
[15] Linqiang Pan,et al. Spiking neural P systems with request rules , 2016, Neurocomputing.
[16] Lalana Kagal,et al. J un 2 01 8 Explaining Explanations : An Approach to Evaluating Interpretability of Machine Learning , 2018 .
[17] Robert A. Kowalski,et al. The Semantics of Predicate Logic as a Programming Language , 1976, JACM.
[18] Feng Yang. Duality in Logic Programming , 1991 .
[19] Richard J. Duro,et al. Open-Ended Learning: A Conceptual Framework Based on Representational Redescription , 2018, Front. Neurorobot..
[20] Pascal Hitzler,et al. Perspectives of Neural-Symbolic Integration , 2007, Studies in Computational Intelligence.
[21] Tao Wang,et al. Fault Classification of Power Transmission Lines Using Fuzzy Reasoning Spiking Neural P Systems , 2016, BIC-TA.
[22] Raymond Reiter. On Closed World Data Bases , 1977, Logic and Data Bases.
[23] Alexander Binder,et al. Explaining nonlinear classification decisions with deep Taylor decomposition , 2015, Pattern Recognit..
[24] Wulfram Gerstner,et al. SPIKING NEURON MODELS Single Neurons , Populations , Plasticity , 2002 .
[25] Linqiang Pan,et al. Spiking Neural P Systems With Communication on Request and Mute Rules , 2017, IEEE Transactions on Parallel and Distributed Systems.
[26] Oscar H. Ibarra,et al. On spiking neural P systems , 2006, Natural Computing.
[27] Daniel Díaz-Pernil,et al. Semantics of deductive databases with spiking neural P systems , 2018, Neurocomputing.
[28] Krzysztof R. Apt,et al. Logic Programming and Negation: A Survey , 1994, The Journal of Logic Programming.
[29] Alois Knoll,et al. A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks , 2018, Front. Neurorobot..
[30] Kai-Uwe Kühnberger,et al. Towards integrated neural–symbolic systems for human-level AI: Two research programs helping to bridge the gaps , 2015, BICA 2015.
[31] Kai-Uwe Kühnberger,et al. Neural-Symbolic Learning and Reasoning: A Survey and Interpretation , 2017, Neuro-Symbolic Artificial Intelligence.
[32] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[33] Miguel A. Gutiérrez-Naranjo,et al. Deductive databases and P systems , 2004, Comput. Sci. J. Moldova.
[34] Antonis C. Kakas,et al. Default Reasoning via Negation as Failure , 1992, ECAI Workshop on Knowledge Representation and Reasoning.
[35] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[36] Artiom Alhazov,et al. Forward and Backward Chaining with P Systems , 2011, Int. J. Nat. Comput. Res..
[37] J. Lloyd. Foundations of Logic Programming , 1984, Symbolic Computation.
[38] Xiangrong Liu,et al. Asynchronous spiking neural P systems with rules on synapses , 2015, Neurocomputing.
[39] Wolfgang Maass,et al. Networks of Spiking Neurons: The Third Generation of Neural Network Models , 1996, Electron. Colloquium Comput. Complex..
[40] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[41] Keith L. Clark,et al. Negation as Failure , 1987, Logic and Data Bases.
[42] Joxan Jaffar,et al. Completeness of the Negation as Failure Rule , 1983, IJCAI.
[43] Wofgang Maas,et al. Networks of spiking neurons: the third generation of neural network models , 1997 .