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1. Luc de Raedt and Kristian Kersting. Probabilistic Inductive Logic Programming. In Luc De Raedt, Paolo Frasconi, Kristian Kersting, and Stephen Muggleton, editors,Probabilistic Inductive Logic Programming - Theory and Applications, Lecture Notes in Computer Science, pages 1--27. Springer, 2008.
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6. Alejandro Guerra-Hernandez, Amal El Fallah-Seghrouchni, and Henry Soldano. Learning in BDI Multi-Agent Systems. Lecture Notes in Computer Science, 3259:218--233, 2004.
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7. A. Srinivasan. Extracting context-sensitive models in inductive logic programming. Machine Learning, 44(3):301--324, 2001.
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8. Peter A. Flach. On the Logic of Hypothesis Generation. In Peter A. Flach and Antonis C. Kakas, editors,Abduction and Induction: Essays on Their Relation and Integration, pages 89--106. Kluwer Academic Publishers, 2000.
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9. Peter A. Flach and Antonis C. Kakas. Abductive and Inductive Reasoning: Background and Issues. In Peter A. Flach and Antonis C. Kakas, editors,Abduction and Induction: Essays on Their Relation and Integration, pages 1--27. Kluwer Academic Publishers, 2000.
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11. Evelina Lamma, Paola Mello, Michela Milano, and Fabrizio Riguzzi. Integrating Induction and Abduction in Logic Programming. Information Sciences, 116(1):25--54, 1999.
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13. Chiaki Sakama. Some Properties of Inverse Resolution in Normal Logic Programs. Lecture Notes in Computer Science, 1634(1999):279--290, 1999.
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14. Sandip Sen and Gerhard Weiss. Learning in Multiagent Systems. In Gerhard Weiss, editor,Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, pages 259--298. MIT Press, Cambridge, MA, USA, 1999.
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15. Gerhard Weiss and Pierre Dillenbourg. What is 'multi' in Multiagent Learning?. In Pierre Dillenbourg, editor,Collaborative learning. Cognitive and computational approaches, pages 64--80. Pergamon Press, 1999.
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16. David Carmel and Shaul Markovitch. Model-based Learning of Interaction Strategies in Multiagent Systems. Journal of Experimental and Theoretical Artificial Intelligence, 10(3):309--332, 1998.
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18. A. R. Pearce and T. Caelli. Relational Evidence Theory and Schematic Interpretation. In T. Caelli and W. F. Bischof, editors,Machine Learning and Image Interpretation, pages 67--118. New York, USA, 1997.
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19. Stephen Muggleton. Inverse Entailment and Progol. New Generation Computing, Special issue on Inductive Logic Programming, 13:245--286, 1995.
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21. Yves Deville and Kung-Kiu Lau. Logic Program Synthesis. Journal of Logic Programming, 19/20:321--350, 1994.
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1. Jian Huang and Adrian R. Pearce. Collaborative inductive logic programming for path planning. In Manuela M. Veloso, editor, Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07), volume 1, Hyderabad, India, pages 1327--1332, 2007. IJCAI.
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2. Jian Huang and Adrian R. Pearce. Toward inductive logic programming for collaborative problem solving. In Silvia Ceballos, editor, IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT-06), Hong Kong, pages 284--290, 2006. IEEE Computer Society Press.
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3. Jian Huang and Adrian R. Pearce. Distributed Interactive Learning in Multi-Agent Systems. In National Conference on Artificial Intelligence (AAAI-06), Boston, pages 666--671, 2006. AAAI.
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4. U. Endriss, P. Mancarella, F. Sadri, G. Terreni, and F. Toni. The CIFF Proof Procedure for Abductive Logic Programming with Constraints. In José Júlio Alferes and João Leite, editors, Logics in Artificial Intelligence: 9th European Conference, JELIA 2004,, Lisbon, Portugal, pages 266--278, 2004. Springer Verlag.
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5. D. Kazakov and D. Kudenko. Machine learning and inductive logic programming for multi-agent systems. In Multi-Agent Systems and Applications, 9th ECCAI Advanced Course ACAI 2001 and Agent Link's 3rd European Agent Systems Summer School, EASSS 2001, , Lecture Notes in Artificial Intelligence, Volume 2086, Prague, Czech Republic, pages 246--270, 2001. Springer Verlag.
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6. A. R. Pearce and T. Caelli. The CLARET Algorithm. In Research and Development in Knowledge Discovery and Data Mining, Lecture Notes in Artificial Intelligence, volume 1394, pages 407--408, 1998. Springer-Verlag.
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7. Adrian Pearce, Terry Caelli, and Walter Bischof. CLARET: A new Relational Learning Algorithm for Interpretation in Spatial Domains. In Proceedings of the Fourth International Conference on Control, Automation, Robotics and Vision (ICARV'96), Singapore, pages 650--654, 1996.
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1. John Bell. A Pragmatic Theory of Induction. Technical report July 28, Department of Computer Science, Queen Mary, University of London, July 2003.
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2. John W. Lloyd. Knowledge Representation, Computation, and Learning in Higher-order Logic. Technical report draft 10/2/02, Computer Sciences Laboratory, Research School of Information Sciences and Engineering, Australian National University, 10/2/02 2002.
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1. Alejandro Guerra-Hernandez, Amal El Fallah-Seghrouchni, and Henry Soldano. Distributed Learning in Intentional BDI Multi-Agent Systems, 2004.
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