Problems for Structure Learning: Aggregation and Computational Complexity
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Alexander Clark & Shalom Lappin (2013). Complexity in Language Acquisition. Topics in Cognitive Science 5 (1):89-110.
David Danks, Clark Glymour & Peter Spirtes (2003). The Computational and Experimental Complexity of Gene Perturbations for Regulatory Network Search. In W. H. Hsu, R. Joehanes & C. D. Page (eds.), Proceedings of IJCAI-2003 workshop on learning graphical models for computational genomics.
Theodor Leiber (1999). Deterministic Chaos and Computational Complexity: The Case of Methodological Complexity Reductions. Journal for General Philosophy of Science 30 (1):87-101.
Sanjay Jain & Arun Sharma (1997). The Structure of Intrinsic Complexity of Learning. Journal of Symbolic Logic 62 (4):1187-1201.
Christian List (2012). The Theory of Judgment Aggregation: An Introductory Review. Synthese 187 (1):179-207.
Christian List (2005). Group Knowledge and Group Rationality: A Judgment Aggregation Perspective. Episteme 2 (1):25-38.
Gabriella Pigozzi (2005). Two Aggregation Paradoxes in Social Decision Making: The Ostrogorski Paradox and the Discursive Dilemma. Episteme 2 (2):119-128.
Jakub Szymanik (2009). The Computational Complexity of Quantified Reciprocals. In Peter Bosch, David Gabelaia & Jérôme Lang (eds.), Lecture Notes on Artificial Intelligence 5422, Logic, Language, and Computation 7th International Tbilisi Symposium on Logic, Language, and Computation. Springer.
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