Designing behaviors for information agents
AGENTS '97 Proceedings of the first international conference on Autonomous agents
BIG: a resource-bounded information gathering agent
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
BIG: an agent for resource-bounded information gathering and decision making
Artificial Intelligence - Special issue on Intelligent internet systems
Moving up the information food chain: deploying softbots on the world wide web
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Evolving real-time agent control for large-scale MAS
Proceedings of the fifth international conference on Autonomous agents
Establishing a Taxonomy of Quality for Use in Information Filtering
BNCOD 19 Proceedings of the 19th British National Conference on Databases: Advances in Databases
Acquiring an Optimal Amount of Information for Choosing from Alternatives
CIA '02 Proceedings of the 6th International Workshop on Cooperative Information Agents VI
Migrating and Specifying Services for Web Integration
EDO '00 Revised Papers from the Second International Workshop on Engineering Distributed Objects
Evolving Real-Time Local Agent Control for Large-Scale Multi-agent Systems
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
Web-based specification and integration of legacy services
CASCON '00 Proceedings of the 2000 conference of the Centre for Advanced Studies on Collaborative research
Design, implementation and run-time evolution of a mission-based multiagent system
Web Intelligence and Agent Systems
A multi-agent framework for distributed theorem proving
Expert Systems with Applications: An International Journal
The impact of available information on negotiation results
Annals of Mathematics and Artificial Intelligence
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Over the past five years, we have been developing a Web-based, resource-bounded, information-gathering agent-called BIG, for Bounded Information Gathering-to support a human decision process. Although its techniques are general enough to apply to a wide range of domains, BIG specifically helps clients pick software packages. For example, a client can instruct BIG to recommend a database package for Windows 98 and specify constraints on both the search process and the product characteristics. BIG will then formulate a plan, locate and extract relevant information from both structured and unstructured documents, and return a recommendation to the client, along with supporting data. Our focus is on a recently developed capability, namely, to schedule information-gathering activity in a way that controls the money spent on acquiring information from sites that charge a fee for access. This capability supports an information marketplace on the Web, which we feel will eventually supersede (but obviously not completely replace) the current model of free information access supported by advertising fees