Papers

Unpublished

Thornton, C. J. (Unpublished). A Mathematical Theory of Conceptual Representation. pdf
2011
Thornton, C. J. (2011). Is there any need to mention induction? Proceedings of the Conference of the Cognitive Society. pdf
Thornton, C. J. (2011). Naive inference viewed as computation. Proceedings of the Conference of the Cognitive Society. pdf
Thornton, C. J. (2011). Generation of folk song melodies using Bayes transforms. Journal of New Music Research. pdf
2010
Thornton, C. (2010). Some puzzles relating to the free-energy principle: comment on friston. Trends in Cognitive Sciences, 14, No. 2 (pp. 53-54). pdf
Thornton, C. J. (2010). Gauging the value of good data: informational embodiment quantification. Adaptive Behavior, 18, No. 5 (pp. 389-399). pdf
2009
Thornton, C. (2009). Hierarchical markov modeling for generative music. In Scavone, Verfaille and Silva (Eds.), Proceedings of the International Computer Music Conference ICMC-09 (pp. 49-52). Montreal, Canada: The International Computer Music Association. pdf
Thornton, C. J. (2009). Self-redundancy in music. In McCormack, d'Inverno and Boden (Eds.), Proceedings of the 2009 Dagstuhl Seminar on Computational Creativity: An Interdisciplinary Approach. Schloss Dagstuhl, Germany http://drops.dagstuhl.de/opus/frontdoor.php?source_opus=2219. pdf
Thornton, C. J. (2009). Representation recovers information. Cognitive Science, 33, No. 8 (pp. 1-30). pdf
2008
Thornton, C. (2008). Discrete measurement of sensory information using bayesian networks. Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 2027). Austin, TX: Cognitive Science Society. pdf
Thornton, C. (2008). Analogy as exploration. Proceedings of the 5th International Joint Workshop on Computational Creativity. pdf
2007
Thornton, C. J. (2007). How thinking inside the box can become thinking outside the box. Proceedings of the 4th International Joint Workshop on Computational Creativity. pdf
2006
Thornton, C. J. (2006). Principled exploitation of behavioural coupling. Journal of Experimental and Theoretical Artificial Intelligence, 18, No. 3 (pp. 309-330). pdf
2003
Thornton, C. J. (2003). Quantitative abstraction theory. Journal of Artificial Intelligence and Simulation of Behaviour (AISBJ), 1, No. 3. pdf
Thornton, C. J. (2003). Indirect sensing through abstractive learning. Intelligent Data Analysis, 7, No. 3 (pp. 255-266). pdf
2002
Thornton, C. J. (2002). Creativity and runaway learning. In Dartnall (Ed.), Creativity, Cognition and Knowledge (pp. 239-250). London: Praeger. pdf
1999
Thornton, C. J. (1999). What do constructive learners really learn? Artificial Intelligence Review, 13, No. 4 (pp. 249-257). pdf
1998
Thornton, C. J. (1998). The building block fallacy. Complexity International, 4. pdf
Thornton, C. and Clark, A. (1998). Reading the Generalizer's mind. Behaviour and Brain Sciences. Cambridge University Press. pdf
1997
Thornton, C. J. (1997). Separability is a Learner's best friend. In Bullinaria, Glasspool and Houghton (Eds.), Proceedings of the Fourth Neural Computation and Psychology Workshop: Connectionist Representations (pp. 40-47). London: Springer-Verlag. pdf
Thornton, C. and Clark, A. (1997). Relational learning re-examined. Behaviour and Brain Sciences, 20 (pp. 83-90). Cambridge University Press. pdf
Clark, A. and Thornton, C. (1997). Trading spaces: computation, representation and the limits of uninformed learning. Behaviour and Brain Sciences, 20 (pp. 57-90). Cambridge University Press. pdf
Thornton, C. J. (1997). Brave mobots use representation: emergence of representation in fight-or-flight learning. Minds and Machines, 7, No. 475-494. pdf
1996
Thornton, C. J. (1996). Re-presenting representation. In Peterson (Ed.), Forms of Representation: An Interdisciplinary Theme for Cognitive Science (pp. 152-162). Intellect. pdf
Thornton, C. J. (1996). Parity: the problem that won't go away. In McCalla (Ed.), Proceeding of AI-96 (Toronto, Canada) (pp. 362-374). Springer. pdf
Thornton, C. J. (1996). No-strings representationalism. AISB Quarterly, No. 96 (pp. 28-31). pdf
Thornton, C. (1996). Why concept learning is a good idea. In CLark and Millican (Eds.), Connectionism, Concepts, And Folk Psychology (The Legacy of Alan Turing), II (pp. 181-194). Oxford: Clarendon Press. pdf
1995
Thornton, C. J. (1995). Compression, dilation and the redescriptive role of explicitation. In Hoc (Ed.), Proceedings of the European Conference on Cognitive Science (pp. 19-30). pdf
Thornton, C. J. (1995). Measuring the difficulty of specific learning problems. Connection Science, 7, No. 1 (pp. 81-92). pdf
Stone, J. and Thornton, C. J. (1995). Can artificial neural networks discover useful regularities? Proceedings of ICANN-95. Cambridge. pdf
1994
Thornton, C. J. (1994). Statistical biases in backpropagation learning. Proceedings of the International Conference on Artificial Neural Networks (pp. 709-712). Sorrento, Italy. pdf
Thornton, C. J. (1994). Adaptation of obstacle-avoidance in the face of emerging environmental dynamics. Proceedings of AIRTC-94. pdf
Thornton, C. J. (1994). Unsupervised learning with the soft-means algorithm. Proceedings of the World Congress on Neural Networks, 4 (pp. 200-205). San Diego. pdf
Thornton, C. J. (1994). Connectionism, creativity and guided walks. In Dartnall (Ed.), Artificial Intelligence and Creativity (pp. 211-215). Kluwer Academic Publishers. pdf
Thornton, C. J. (1994). Emergent representation/green cognition. Proceedings of DRABC-94: On the Role of Dynamics and Representation in Adaptive Behaviour and Cognition (pp. 192-193). pdf
1993
Thornton, C. J. (1993). In Dartnall, Kim and Sudweeks (Eds.), Representational Redescription for Sea Slugs. pdf
Thornton, C. J. (1993). Computer Doodles Using Simulated Gravitational Fields. Loughborough. pdf
Thornton, C. J. (1993). Statistical factors in behaviour learning. Proceedings of European Conference on Artificial Life. pdf
Thornton, C. J. (1993). A definition of learner uncertainty. Proceedings of Information Technology and Programming (pp. 193-204). Sofia, Bulgaria. pdf
1992
Thornton, C. J. (1992). The howl effect in dynamic-network learning. Proceedings of the International Conference on Artificial Neural Networks (pp. 211-214). Brighton. pdf
1991
Thornton, C. J. (1991). Neural networks versus artificial intelligence: the phoney war. Proceedings of the First National Conference on Artificial Intelligence Technology and Applications (AITA '91) (pp. 1-15). Universiti Malaya. pdf
Thornton, C. J. (1991). An introduction to connectionist computing. Computer Aided Design, 23, No. 8 (pp. 530-538). pdf
Thornton, C. J. (1991). Why connectionist learning algorithms need to be more creative. Conference Preprints for the First Symposium on Artificial Intelligence, Reasoning and Creativity. Brisbane, Australia. pdf
1990
Thornton, C. J. (1990). The kink representation for exclusive-or. Proceedings of the International Neural Network Conference (pp. 982). Kluwer Academic. pdf
Thornton, C. J. (1990). The structure of extensions. Philosophy and the Computer. Westview Press. pdf
1989
Thornton, C. (1989). Learning mechanisms which construct neighbourhood representations. Connection Science, 1, No. 1 (pp. 69-85). pdf
Thornton, C. (1989). Defining higher-order classes. Proceedings of the Second Scandinavian Conference on Artificial Intelligence. pdf
Thornton, C. (1989). The factorial productivity of mark-raising generalization. In Plander (Ed.), Proceedings of the Fifth International Conference on Artificial Intelligence and Information-Control Systems of Robots (pp. 141-150). Amsterdam (North-Holland): Elsevier Science Publishers B.V. (North-Holland. pdf
Thornton, C. J. (1989). The emergence of higher levels of description. Proceedings of the Second Irish Conference on Artificial Intelligence and Cognitive Science (pp. 169-187). Dublin City University. pdf
Thornton, C. J. (1989). Analogical inference as generalised inductive inference. In Jantke (Ed.), Analogical and Inductive Inference (pp. 254-263). Springer-Verlag. pdf
1988
Thornton, C. (1988). Links between content and information-content. Proceedings of the Eighth European Conference on Artificial Intelligence (Munich, 1-5 August). Pitman. pdf
Thornton, C. J. (1988). A computational model for the data compression metaphor. In O'Shea and Sgurev (Eds.), Proceedings of the International Conference of AI Methodology Systems Applications (AIMSA-88, Varna, Bulgaria, 20-23 September). Elsevier Science Publishers. pdf
1987
Thornton, C. (1987). Hypercuboid-formation behaviour of two learning algorithms. Proceedings of the Tenth International Joint Conference on Artificial Intelligence (pp. 301-303). Los Altos: Morgan Kaufmann. pdf
1986
Thornton, C. J. (1986). Design principle for a graphical discourse language. Proceedings of the WWDU conference (Stockholm) (pp. 937-939). pdf
1984
Thornton, C. (1984). Coherent systems. In O'Shea (Ed.), Proceedings of the Sixth European Conference on Artificial Intelligence (pp. 460). Elsevier Science Publishers B.V. (North-Holland. pdf