Cumincad : CUMINCAD References : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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	Akin, Ö. (1978) How do architects design? In Artificial intelligence and pattern recognition in computer-aided design , ed. J. C. Latombe, 65-104. New York: North Holland

	Akin, Ö. (1978) How Do Architects Design? , Latombe (ed.), Artificial Intelligence and Pattern Recognition in Computer Aided Design, North-Holland Publishing Company, pp. 65-98

	Akiyama, H., Shintou, M. and Aramaki, S. (2013) Map Construction for Human Avoidance of Autonomous Mobile Robot , Japanese Society for Artificial Intelligence Technical Report SIG Challenge – B301 – 6 2013, pp. 32-37

	Al-Sayed, K, Dalton, R.C and HÃ¶lscher, C (2010) Discursive design thinking: The role of explicit knowledge in creative architectural design reasoning , Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 24, pp. 211-230

	Al-Sayed, K, Dalton, RC and Holscher, C (2010) Discursive design thinking: The role of explicit knowledge in creative architectural design reasoning , Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 24, pp. 211-230

	Albusac, J., Vallejo, D., Jimenez-Linares, L., Castro-Schez, J. J., & Rodriguez-Benitez, L. (2009) Intelligent surveillance based on normality analysis to detect abnormal behaviors , International Journal of Pattern Recognition and Artificial Intelligence, 23(07), 1223-1244

	Alem, L. and Maher, M.L. (1994) A model of creative design using a genetic metaphor , T. Dartnall (ed.) Artificial Intelligence and Creativity: An Interdisciplinary Approach, Kiuwer, pp. 281-291

	Ali, A. K., & Lee, O. J. (2023) Facade style mixing using artificial intelligence for urban infill , Architecture, 3(2), 258-269

	Aliseda-LLera, A. (1997) Seeking Explanations: Abduction in Logic Philosophy of Science and Artificial Intelligence , PhD Dissertation, University of Amsterdam, The Netherlands

	Amarnath A, Amudhan A.N. and Manoj K V (2023) Empowering Digital Twin Development: A Profound Exploration with Altair Tools , International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), Erode, India: IEEE, pp. 1146-1153

	Amirante, I., Burattini, E., and Cajati, C. (1990) Project of an Expert System for Architectural Recovering as a tutotial tool , EuropIA ’90, Proceedings of the Second European Conference on application of Artificial Intelligence and robotics to building architecture and civil engineering, Paris: LEMA and MSM, Hermes.

	Anderson, Barrett R and Adam, M. Smith (2021) The Undergraduate Games Corpus: A Dataset for Machine Perception of Interactive Media , Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)

	Anderson, J.R., Boyle, F.C., Corbett, A.T. and Lewis, M.W. (1990) Cognitive Modeling and Intelligent Tutoring , Artificial Intelligence 42 pp. 7-49

	Anderson, M. (2003) Embodied Cognition:A Field Guide , Artificial Intelligence, 2003, 149(1), 91-130

	Andrew Lim and Wang Ying (2001) A New Method for the Three- dimensional Container Packing Problem , IJCAI’01: Proceedings of the17th International Joint Conference Artificial Intelligence, vol. 1, 342–347

	Anvita Saxena, Ashish Khanna, and Deepak Gupta (2020) Emotion Recognition and Detection Methods: A Comprehensive Survey , Journal of Artificial Intelligence and Systems 2, no. 1: 53–79. https://doi.org/10.33969/AIS.2020.21005

	Arel, I, Rose, D and Karnowski, T (2010) Deep machine learning-A new frontier in artificial intelligence research , IEEE Computational Intelligence Magazine

	Arrieta, A.B. et al. (2019) Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI , arXiv:1910.10045 [cs] [Preprint]. Available at: http://arxiv.org/abs/1910.10045

	Artificial Intelligence: a Modern Approach (1995) RUSSELL, S. AND P. NORVIG , New Jersey, Prentice Hall

	As I, Pal S and Basu P (2018) Artificial intelligence in architecture: generating conceptual design via deep learning , Int J Architectural Comput 2018; 16(4).

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