Date: June 20 - July 18, 2022
Number of Student: 1-2
Duration of Project: 4 weeks
Project Supervisor: Dr. Reyhan Aydoğan
Daily Supervisor: Anıl Doğru (MSc. student) and other MSc students if necessary
Interactive Intelligent Systems Laboratory
We design, develop, and analyze agent technologies that integrate different aspects of intelligence, such as reasoning, decision-making, and learning. We aim to support human decision-makers in complex and dynamic environments, which also require the design of effective human-computer interaction.
Our primary expertise is designing and developing agent-based negotiation approaches. Recently, we have focused on human-agent negotiations where a robot or a Web bot negotiates with its human counterpart on a particular topic (e.g., resource allocation, travel arrangement, etc.). The main challenges are natural language processing, emotion recognition, argument generation, and designing bidding strategies. In addition, we are working on personalized food recommendation systems involving agent-human explainability.
You can find the research projects we worked on in the following link:
https://intelisys.ozyegin.edu.tr/projects
About the project: Human negotiations involve generating and reasoning arguments in natural language to convince the other party to reach an agreement. Agent-based automated negotiation systems mainly focus on generating offers rather than supporting those offers. Our research project designs intelligent software to create arguments and bids while negotiating with a human negotiator. Moreover, this agent should understand its human opponent’s arguments which are represented in natural language (e.g., English or Turkish).
During the internship, the intern is expected to perform the following tasks:
Collecting human negotiation data through human-agent experiments
Labeling participants’ s exchanged arguments/sentences (that will be used by a machine learning technique later),
Analyzing and verifying the accuracy of arguments generated by an AI program,
Running and testing the developed negotiating agent.
Requirements:
Fluently English
Advanced Grammar Knowledge
Basic Microsoft Excel Knowledge
Basic Python Programming Language knowledge