Using Methods of Declarative Logic Programming for Intelligent Information Agents

Title: Using Methods of Declarative Logic Programming for Intelligent Information Agents

Research Question: How can methods from declarative logic programming be used, extended, and further developed for the specific needs of intelligent information agents?

Methodology: The authors reviewed existing systems and frameworks that address information integration problems. They focused on declarative knowledge-representation methods and reviewed approaches and methods from logic programming and nonmonotonic reasoning for information agents.

Results: The authors discussed advantages and drawbacks of various methods. They pointed out possible extensions and open issues, including preference handling, revision and update, quantitative information, and temporal reasoning.

Implications: The use of declarative logic programming methods can significantly enhance the reasoning capabilities of intelligent information agents. This can lead to more efficient and effective information retrieval, integration, and presentation. The research also highlights the need for further development and exploration of these methods in the context of intelligent information agents.

Link to Article: https://arxiv.org/abs/0108008v1 Authors: arXiv ID: 0108008v1