T
Takayuki Ito
Researcher at Kyoto University
Publications - 510
Citations - 5433
Takayuki Ito is an academic researcher from Kyoto University. The author has contributed to research in topics: Negotiation & Combinatorial auction. The author has an hindex of 31, co-authored 492 publications receiving 4940 citations. Previous affiliations of Takayuki Ito include Nagoya Institute of Technology & Ochanomizu University.
Papers
More filters
Journal ArticleDOI
Neocognitron: A neural network model for a mechanism of visual pattern recognition
TL;DR: In this article, a large-scale network with a learning-with-a-teacher (L2Teacher) process is used for reinforcement of the modifiable synapses in the new large-size model, instead of the learning-without-a teacher process applied to a previous model.
Proceedings Article
Multi-issue negotiation protocol for agents: exploring nonlinear utility spaces
TL;DR: This paper proposes a negotiation protocol where agents employ adjusted sampling to generate proposals, and a bidding-based mechanism is used to find social-welfare maximizing deals that substantially outperforms existing methods in large non-linear utility spaces like those found in real world contexts.
Journal ArticleDOI
Evaluating practical negotiating agents: Results and analysis of the 2011 international competition
Tim Baarslag,Katsuhide Fujita,Enrico H. Gerding,Koen V. Hindriks,Takayuki Ito,Nicholas R. Jennings,Catholijn M. Jonker,Sarit Kraus,Raz Lin,Valentin Robu,Colin R. Williams +10 more
TL;DR: An in-depth analysis and the key insights gained from the Second International Automated Negotiating Agents Competition (ANAC 2011) show that the most adaptive negotiation strategies, while robust across different opponents, are not necessarily the ones that win the competition.
Book ChapterDOI
The first automated negotiating agents competition (ANAC 2010)
Katsuhide Fujita,Reyhan Aydoğan,Tim Baarslag,Koen V. Hindriks,Takayuki Ito,Catholijn M. Jonker +5 more
TL;DR: The Sixth International Automated Negotiating Agents Competition (ANAC 2015) as mentioned in this paper was organized in conjunction with AAMAS 2015 to encourage the design of generic negotiating agents that are able to operate in a variety of scenarios.
Book
Neocognitron: a neural network model for a mechanism of visual pattern recognition
TL;DR: A recognition with a large-scale network is simulated on a PDP-11/34 minicomputer and is shown to have a great capability for visual pattern recognition and can be trained to recognize handwritten Arabic numerals even with considerable deformations in shape.