Research

The goal of our research is to develop and use highly personalized agents to complement the cogitative limitations of the human mind to facilitate the decision making process (including the gathering of information and recommendation of actions). These agents shall work in a collaborative manner with a user to accomplish his or her goals. To work effectively and efficiently with a human user they have to learn their interests, habits, and preferences (as well as those of his or her communities) (Maes1994b). In an online shopping scenario advocate agents will be able to generate recommendations as to what to buy (product-brokering) and from whom to buy (merchant-brokering) based on customer criteria.

Research Profile

• Agent-Mediated Electronic Marketplaces
• Artificial Intelligence
• Auctions and Exchanges
• Dynamic Pricing
• Evolutionary Marketplaces
• Information and Decision Theory
• Intelligent Agents
• Machine Learning
• Market Forecasting
• Multi-Agent Systems
• Software Architecture
• Software Engineering
• Software Patterns
• Supply-Chain Management
• Electronic Commerce