Formalising abilities and opportunities of agents
Fundamenta Informaticae
Extracting Context-Sensitive Models in Inductive Logic Programming
Machine Learning
Machine learning and inductive logic programming for multi-agent systems
Mutli-agents systems and applications
Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
Abduction in Logic Programming
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part I
Logical Foundations of Agent-Based Computing
EASSS '01 Selected Tutorial Papers from the 9th ECCAI Advanced Course ACAI 2001 and Agent Link's 3rd European Agent Systems Summer School on Multi-Agent Systems and Applications
Distributed Computing
Distributed interactive learning in multi-agent systems
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Collaborative inductive logic programming for path planning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
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In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itself. Instead, many systems frequently employ multiple instances of induction separately. The paper's main contribution is a new approach that tightly integrates processes of induction between distributed agents, based on inductive logic programming techniques, for a wider class of problem solving tasks. The approach combines inverse entailment with an epistemic approach to reasoning about knowledge, facilitating a systematic approach to the sharing of knowledge and invention of predicates only when required. We illustrate the approach for learning declarative program fragments and for a well-known path planning problem and compare results empirically to (multiple instances of) single agent-based induction over varying distributions of data. Given a chosen path planning algorithm, our algorithm enables agents to combine their local knowledge in an effective way to avoid central control while significantly reducing communication costs.