activity
20172020
most citedAn Ontology to support automated negotiation

2 citations · 4 across the 3 of their papers we have counts for

collaborators

6 papers

cs.LO20201 cited

Abstract Interpretation in Formal Argumentation: with a Galois Connection for Abstract Dialectical Frameworks and May-Must Argumentation (First Report)

Ryuta Arisaka, Takayuki Ito

Labelling-based formal argumentation relies on labelling functions that typically assign one of 3 labels to indicate either acceptance, rejection, or else undecided-to-be-either, t…

cs.LG2020

Evaluating the Communication Efficiency in Federated Learning Algorithms

Muhammad Asad, Ahmed Moustafa, Takayuki Ito +1

In the era of advanced technologies, mobile devices are equipped with computing and sensing capabilities that gather excessive amounts of data. These amounts of data are suitable f…

cs.AI20201 cited

Numerical Abstract Persuasion Argumentation for Expressing Concurrent Multi-Agent Negotiations

Ryuta Arisaka, Takayuki Ito

A negotiation process by 2 agents e1 and e2 can be interleaved by another negotiation process between, say, e1 and e3. The interleaving may alter the resource allocation assumed at…

cs.AI2020

Broadening Label-based Argumentation Semantics with May-Must Scales (May-Must Argumentation)

Ryuta Arisaka, Takayuki Ito

The semantics as to which set of arguments in a given argumentation graph may be acceptable (acceptability semantics) can be characterised in a few different ways. Among them, labe…

cs.AI2019

Formulating Manipulable Argumentation with Intra-/Inter-Agent Preferences

Ryuta Arisaka, Makoto Hagiwara, Takayuki Ito

From marketing to politics, exploitation of incomplete information through selective communication of arguments is ubiquitous. In this work, we focus on development of an argumenta…

cs.AI20172 cited

An Ontology to support automated negotiation

Susel Fernandez, Takayuki Ito

In this work we propose an ontology to support automated negotiation in multiagent systems. The ontology can be connected with some domain-specific ontologies to facilitate the neg…