activity
20172021
most citedPrivacy Information Classification: A Hybrid Approach

3 citations · 10 across the 8 of their papers we have counts for

collaborators
Showing cs.AIShow all

7 papers · 1 filter

cs.AI2021

Relational Argumentation Semantics

Ryuta Arisaka, Takayuki Ito

In this paper, we propose a fresh perspective on argumentation semantics, to view them as a relational database. It offers encapsulation of the underlying argumentation graph, and…

cs.AI2021

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

Qin Liang, Minjie Zhang, Fenghui Ren +1

Trust evaluation is an important topic in both research and applications in sociable environments. This paper presents a model for trust evaluation between agents by the combinatio…

cs.AI20213 cited

Privacy Information Classification: A Hybrid Approach

Jiaqi Wu, Weihua Li, Quan Bai +2

A large amount of information has been published to online social networks every day. Individual privacy-related information is also possibly disclosed unconsciously by the end-use…

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…