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Takayuki Ito

Fairness based Multi-Preference Resource Allocation in Decentralised Open Markets


Sep 01, 2021
Pankaj Mishra, Ahmed Moustafa, Takayuki Ito

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Federated Learning Versus Classical Machine Learning: A Convergence Comparison


Jul 22, 2021
Muhammad Asad, Ahmed Moustafa, Takayuki Ito

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Relational Argumentation Semantics


Apr 26, 2021
Ryuta Arisaka, Takayuki Ito

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A Robust Model for Trust Evaluation during Interactions between Agents in a Sociable Environment


Apr 17, 2021
Qin Liang, Minjie Zhang, Fenghui Ren, Takayuki Ito

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* 13 pages, 5 figures 
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Privacy Information Classification: A Hybrid Approach


Jan 27, 2021
Jiaqi Wu, Weihua Li, Quan Bai, Takayuki Ito, Ahmed Moustafa

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* IJCAI 2019 Workshop. The 4th International Workshop on Smart Simulation and Modelling for Complex Systems 
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Abstract Interpretation in Formal Argumentation: with a Galois Connection for Abstract Dialectical Frameworks and May-Must Argumentation (First Report)


Jul 22, 2020
Ryuta Arisaka, Takayuki Ito


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Evaluating the Communication Efficiency in Federated Learning Algorithms


Apr 06, 2020
Muhammad Asad, Ahmed Moustafa, Takayuki Ito, Muhammad Aslam

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Broadening Label-based Argumentation Semantics with May-Must Scales


Feb 04, 2020
Ryuta Arisaka, Takayuki Ito

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* Changes made to the previous version. 1. Corrected the definition of a preferred labelling to be a complete labelling. (Definition 10) 2. Removed an incorrect illustration in Conclusion. Reference to Example 4 was instead made 
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Numerical Abstract Persuasion Argumentation for Expressing Concurrent Multi-Agent Negotiations


Jan 23, 2020
Ryuta Arisaka, Takayuki Ito


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Formulating Manipulable Argumentation with Intra-/Inter-Agent Preferences


Sep 15, 2019
Ryuta Arisaka, Makoto Hagiwara, Takayuki Ito

* No major change except for some stylistic change 
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An Ontology to support automated negotiation


Oct 28, 2017
Susel Fernandez, Takayuki Ito

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