This chapter introduces the topic of this book by presenting the fields of supply chain
management, multiagent systems, and the merger of these two fields into multiagent-based …

Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes
the joint behaviors of agents with some degree of autonomy and the complexities arising …

The area of learning in multi-agent systems is today one of the most fertile grounds for
interaction between game theory and artificial intelligence. We focus on the foundational …

Word Wide Web intelligent agent technology has provided researchers and practitioners,
such as those involved in information technology, innovation, knowledge management, and …

E-commerce increasingly provides opportunities for autonomous bidding agents: computer
programs that bid in electronic markets without direct human intervention. Automated …

Computer automation has the potential, just starting to be realized, of transforming the
design and operation of markets, and the behaviors of agents trading in them. We discuss …

We present a general methodology to automate the search for equilibrium strategies in
games derived from computational experimentation. Our approach interleaves empirical …

The 2002 Trading Agent Competition (TAC) presents a challenging market game in the
domain of travel shop**. One of the pivotal issues in this domain is uncertainty about hotel …

Future market conditions can be a pivotal factor in making business decisions. We present
and evaluate methods used by our agent, Deep Maize, to forecast market prices in the …

To deal with exponential growth in the size of a game with the number of agents, we
propose an approximation based on a hierarchy of reduced games. The reduced game …