Learning Agents Research at Rotterdam School of Management, Erasmus University is an interdisciplinary research theme, spanning the fields of artificial intelligence, behavioural science, computer science, economics, information systems, operations research, and software engineering. The primary objective is to research, develop, and apply autonomous intelligent agents to support human decision making capabilities in the area of business networks, electronic markets, and supply-chain management.
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.
The Learning agent theme covers the following research criteria: Agent-Mediated Electronic Market places, Artificial Intelligence, Auctions and Exchanges, Dynamic Pricing, Evolutionary Market places, Information and Decision Theory, Intelligent Agents, Machine Learning, Market Forecasting, Multi-Agent Systems, Software Architecture, Software Engineering, Software Patterns, Supply-Chain Management, Electronic Commerce