Search Results for author: Rafik Hadfi

Found 7 papers, 5 papers with code

Best-Answer Prediction in Q&A Sites Using User Information

no code implementations15 Dec 2022 Rafik Hadfi, Ahmed Moustafa, Kai Yoshino, Takayuki Ito

We address this limitation using a novel method for predicting the best answers using the questioner's background information and other features, such as the textual content or the relationships with other participants.

Community Question Answering

Solving Tree Problems with Category Theory

1 code implementation16 Oct 2018 Rafik Hadfi

Most importantly, we adopt a category-theoretic approach in formalising tree problems as categories, and in proving the existence of equivalences across apparently unrelated problem domains.

Investigating Enactive Learning for Autonomous Intelligent Agents

no code implementations9 Oct 2018 Rafik Hadfi

The enactive approach to cognition is typically proposed as a viable alternative to traditional cognitive science.

Reinforcement Learning (RL)

Holonic Multiagent Simulation of Complex Adaptive Systems

1 code implementation1 Jun 2016 Rafik Hadfi, Takayuki Ito

We propose a holonic multiagent simulator that can simulate any complex urban environment.

Traffic Simulation in Urban Networks Using Stochastic Cell Transmission Model

1 code implementation15 Oct 2015 Rafik Hadfi, Sho Tokuda, Takayuki Ito

One of its advantages is that it can represent the uncertainty of the traffic states and the changing travel demand and supply conditions.

Complex Multi-Issue Negotiation Using Utility Hyper-Graphs

1 code implementation1 Jul 2015 Rafik Hadfi, Takayuki Ito

We evaluate the model experimentally using parameterized nonlinear utility spaces, showing that it can handle a large family of complex utility spaces by finding optimal contracts, outperforming previous sampling-based approaches.

Approximating Constraint-Based Utility Spaces Using Generalized Gaussian Mixture Models

1 code implementation1 Dec 2014 Rafik Hadfi, Takayuki Ito

Additionally, it leads us to a potential parametric model that could be used for opponent modeling in complex non-linear negotiations.

Cannot find the paper you are looking for? You can Submit a new open access paper.