1. Patrick Blackburn, Maarten de Rijke, and Yde Venema. Modal Logic. Cambridge University Press, 2001. Keyword(s): logics, modal logic. [bibtex-entry]



2. Gabriele Kern-Isberner. Conditionals in Nonmonotonic Reasoning and Belief Revision: Considering Conditionals As Agents. Springer-Verlag New York, Inc., 2001. Keyword(s): belief change, nonmonotonic logic. [bibtex-entry]

1. Phuong Nguyen. Inductive Logic Programming. PhD thesis, The University of New South Wales, 2001. Keyword(s): logic programming, inductive reasoning. [bibtex-entry]

1. Dimitar Kazakov and Daniel Kudenko. Machine Learning and Inductive Logic Programming for Multi-agent Systems. In M. Luck, V. Marik, and O. Stepankova, editors, Multi-Agent Systems and Applications, volume 2086, pages 246-270. Springer, 2001. Keyword(s): multi-agent system, machine learning, inductive logic programming, high relevance. [bibtex-entry]



2. Michael Wooldridge and Paolo Ciancarini. Agent-Oriented Software Engineering: The State of the Art. In Paolo Ciancarini and Michael Wooldridge, editors, Agent-Oriented Software Engineering, pages 55-82. Springer-Verlag, 2001. Keyword(s): software engineering, multi-agent system. [bibtex-entry]



3. Wiebe van der Hoek. Logical Foundations of Agent-Based Computing. In Mutli-agents Systems and Applications, pages 50-73. Springer-Verlag New York, Inc., 2001. Keyword(s): logics, epistemic logic, agent programming language, model theory. [bibtex-entry]



4. Eduardo Alonso, Mark D'Inverno, Daniel Kudenko, Michael Luck, and Jason Noble. Learning in Multi-Agent Systems. Knowledge Engineering Review, 16(3):277-284, 2001. Keyword(s): machine learning, multi-agent system, inductive logic programming, explanation-based reasoning, social learning, high relevance. [bibtex-entry]



5. Eduardo Alonso and Daniel Kudenko. Machine Learning for Logic-Based Multi-agent Systems. Lecture Notes in Computer Science, 1871, 2001. Keyword(s): multi-agent system, multi-agent learning, explanation-based learning, inductive logic programming. [bibtex-entry]



6. Evgeny Dantsin, Thomas Eiter, Georg Gottlob, and Andrei Voronkov. Complexity and Expressive Power of Logic Programming. ACM Computing Surveys, 33(3):374-425, 2001. Keyword(s): logic programming. [bibtex-entry]



7. José Hernández-Orallo and M. José Ramìrez-Quintana. Predictive Software. Automated Software Engineering, 8(2):139-166, 2001. Keyword(s): software engineering, inductive learning. [bibtex-entry]



8. Chiaki Sakama. Nonmonotonic Inductive Logic Programming. Lecture Notes in Computer Science, 2173:62-80, 2001. Keyword(s): inductive logic programming, nonmonotonic logic. [bibtex-entry]



9. Ashwin Srinivasan. Extracting Context-Sensitive Models in Inductive Logic Programming. Machine Learning, 44(3):301-324, 2001. Keyword(s): machine learning, inductive logic programming. [bibtex-entry]

1. Okan Arikan, Stephen Chenney, and D. A. Forsyth. Efficient Multi-Agent Path Planning. In Proceedings of the Eurographic Workshop on Computer Animation and Simulation, Manchester, UK, pages 151-162, 2001. Springer-Verlag. Keyword(s): multi-agent planning, path planning. [bibtex-entry]



2. U. Hustadt, C. Dixon, R. A. Schmidt, M. Fisher, J.-J. Ch. Meyer, and W. van der Hoek. Reasoning about Agents in the KARO Framework. In Proceedings. Eighth International Symposium on Temporal Representation and Reasoning, pages 206-213, 2001. Keyword(s): KARO framework, agent theory. [bibtex-entry]



3. Eric Martin, Arun Sharma, and Frank Stephan. A General Theory of Deduction, Induction, and Learning. In DS '01: Proceedings of the 4th International Conference on Discovery Science, pages 228-242, 2001. Springer-Verlag. Keyword(s): logic programming, inductive reasoning. [bibtex-entry]



4. Luis Farinas del Cerro, David Fauthoux, Olivier Gasquet, Andreas Herzig, Dominique Longin, and Fabio Massacci. Lotrec The Generic Tableau Prover for Modal and Description Logics. In International Joint Conference on Automated Reasoning, 2001. Keyword(s): modal logic, proof system. [bibtex-entry]

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