{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T10:26:54Z","timestamp":1749205614835},"reference-count":80,"publisher":"Informa UK Limited","issue":"8","license":[{"start":{"date-parts":[[2022,5,18]],"date-time":"2022-05-18T00:00:00Z","timestamp":1652832000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Journal of Experimental &amp; Theoretical Artificial Intelligence"],"published-print":{"date-parts":[[2023,11,17]]},"DOI":"10.1080\/0952813x.2022.2078889","type":"journal-article","created":{"date-parts":[[2022,5,19]],"date-time":"2022-05-19T02:23:10Z","timestamp":1652926990000},"page":"1269-1293","update-policy":"http:\/\/dx.doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":2,"title":["Projection: a mechanism for human-like reasoning in Artificial Intelligence"],"prefix":"10.1080","volume":"35","author":[{"given":"F.","family":"Guerin","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Surrey, Guildford, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","published-online":{"date-parts":[[2022,5,18]]},"reference":[{"key":"e_1_3_4_2_1","article-title":"Transfer of tool affordance and manipulation cues with 3d vision data","author":"Abelha P.","year":"2017","unstructured":"Abelha, P., & Guerin, F. (2017). Transfer of tool affordance and manipulation cues with 3d vision data. CoRR, abs\/1710.04970R. https:\/\/arxiv.org\/abs\/1710.04970","journal-title":"CoRR"},{"key":"e_1_3_4_3_1","volume-title":"Natural language understanding","author":"Allen J","year":"1995","unstructured":"Allen, J. (1995). Natural language understanding (2nd ed.) Benjamin-Cummings Publishing Co., Inc.","edition":"2"},{"key":"e_1_3_4_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00636"},{"key":"e_1_3_4_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrn1476"},{"key":"e_1_3_4_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/Humanoids.2011.6100855"},{"key":"e_1_3_4_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cognition.2017.10.006"},{"key":"e_1_3_4_8_1","doi-asserted-by":"publisher","DOI":"10.1098\/rsfs.2018.0020"},{"key":"e_1_3_4_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(91)90053-M"},{"key":"e_1_3_4_10_1","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2019.XV.015"},{"key":"e_1_3_4_11_1","volume-title":"Deep learning with Python","author":"Chollet F","year":"2017","unstructured":"Chollet, F. (2017). Deep learning with Python. Manning."},{"key":"e_1_3_4_12_1","article-title":"Lessons from the Amazon picking challenge","author":"Correll N.","year":"2016","unstructured":"Correll, N., Bekris, K. E., Berenson, D., Brock, O., Causo, A., Hauser, K., Okada, K., Rodriguez, A., Romano, J. M., & Wurman, P. R. (2016). Lessons from the Amazon picking challenge. CoRR, abs\/1601.05484. http:\/\/arxiv.org\/abs\/1601.05484","journal-title":"CoRR"},{"key":"e_1_3_4_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2701413"},{"key":"e_1_3_4_14_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0269888906000646"},{"key":"e_1_3_4_15_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511635465.002"},{"key":"e_1_3_4_16_1","unstructured":"Dreifus C. (1998). A conversation: With Dr. Marvin Minsky: Why isn't artificial intelligence more like the real thing?. The New York Times July 28 1998 Section F Page 3."},{"key":"e_1_3_4_17_1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.4395"},{"key":"e_1_3_4_18_1","article-title":"CAN: Creative adversarial networks, generating \u201dart\u201d by learning about styles and deviating from style norms","author":"Elgammal A. M.","year":"2017","unstructured":"Elgammal, A. M., Liu, B., Elhoseiny, M., & Mazzone, M. (2017). CAN: Creative adversarial networks, generating \u201dart\u201d by learning about styles and deviating from style norms. CoRR, abs\/1706.07068. https:\/\/arxiv.org\/abs\/1706.07068","journal-title":"CoRR"},{"key":"e_1_3_4_19_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0800968105"},{"key":"e_1_3_4_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2016.2616538"},{"key":"e_1_3_4_21_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0140525X15000965"},{"key":"e_1_3_4_22_1","volume-title":"International conf. on computational creativity (ICCC)","author":"Fitzgerald T.","year":"2017","unstructured":"Fitzgerald, T., Thomaz, A. L., & Goel, A. K. (2017). Human-robot co-creativity: Task transfer on a spectrum of similarity. In A. Goel, & A. Jordanous, A. Pease (Eds.), International conf. on computational creativity (ICCC). Association for Computational Creativity."},{"key":"e_1_3_4_23_1","first-page":"3","volume-title":"Proceedings of the eleventh international workshop on qualitative reasoning","author":"Forbus K.","year":"1997","unstructured":"Forbus, K., & Gentner, D. (1997). Qualitative mental models: Simulations or memories. In Proceedings of the eleventh international workshop on qualitative reasoning, 3\u20136. Citeseer."},{"key":"e_1_3_4_24_1","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v27i2.1882"},{"key":"e_1_3_4_25_1","first-page":"54","volume-title":"AAAI fall symposium: Naturally-inspired Artificial Intelligence","author":"Forbus K. D.","year":"2008","unstructured":"Forbus, K. D., Klenk, M., & Hinrichs, T. (2008). Companion cognitive systems: Design goals and some lessons learned. In AAAI fall symposium: Naturally-inspired Artificial Intelligence, 54\u201360."},{"key":"e_1_3_4_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793590"},{"key":"e_1_3_4_27_1","volume-title":"CoRR abs\/1811.12231","author":"Geirhos R.","year":"2019","unstructured":"Geirhos, R., Rubisch, P., Michaelis, C., Bethge, M., Wichmann, F. A., & Brendel, W. (2019). ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. CoRR abs\/1811.12231. http:\/\/arxiv.org\/abs\/1811.12231"},{"key":"e_1_3_4_28_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.aag2612"},{"key":"e_1_3_4_29_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1808.03766"},{"key":"e_1_3_4_30_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1807.10066"},{"key":"e_1_3_4_31_1","volume-title":"Neural production systems","author":"Goyal A.","year":"2021","unstructured":"Goyal, A., Didolkar, A., Ke, N. R., Blundell, C., Beaudoin, P., Heess, N., Mozer, M., & Bengio, Y. (2021a). Neural production systems. https:\/\/arxiv.org\/abs\/2103.01937"},{"key":"e_1_3_4_32_1","volume-title":"Coordination among neural modules through a shared global workspace","author":"Goyal A.","year":"2021","unstructured":"Goyal, A., Didolkar, A., Lamb, A., Badola, K., Ke, N. R., Rahaman, N., Binas, J., Blundell, C., Mozer, M., & Bengio, Y. (2021b). Coordination among neural modules through a shared global workspace. arXiv:2103.01197."},{"key":"e_1_3_4_33_1","doi-asserted-by":"publisher","DOI":"10.1098\/rstb.1997.0095"},{"key":"e_1_3_4_34_1","article-title":"AVA: A video dataset of spatiotemporally localized atomic visual actions","author":"Gu C.","year":"2017","unstructured":"Gu, C., Sun, C., Vijayanarasimhan, S., Pantofaru, C., Ross, D. A., Toderici, G., Li, Y., Ricco, S., Sukthankar, R., Schmid, C., & Malik, J. (2017). AVA: A video dataset of spatiotemporally localized atomic visual actions. CoRR, abs\/1705.08421. https:\/\/arxiv.org\/abs\/1705.08421","journal-title":"CoRR"},{"key":"e_1_3_4_35_1","first-page":"1","volume-title":"IEEE transactions on cognitive and developmental systems","author":"Guerin F.","year":"2019","unstructured":"Guerin, F., & Ferreira, P. (2019). Robot manipulation in open environments: New perspectives. In IEEE transactions on cognitive and developmental systems, 1."},{"key":"e_1_3_4_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2007.900150"},{"key":"e_1_3_4_37_1","doi-asserted-by":"publisher","DOI":"10.2307\/1416950"},{"key":"e_1_3_4_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298698"},{"key":"e_1_3_4_39_1","article-title":"Learning to make analogies by contrasting abstract relational structure","author":"Hill F.","year":"2019","unstructured":"Hill, F., Santoro, A., Barrett, D. G. T., Morcos, A. S., & Lillicrap, T. P. (2019). Learning to make analogies by contrasting abstract relational structure. CoRR, abs\/1902.00120. https:\/\/arxiv.org\/abs\/1902.00120","journal-title":"CoRR"},{"key":"e_1_3_4_40_1","article-title":"How to represent part-whole hierarchies in a neural network","author":"Hinton G. E","year":"2021","unstructured":"Hinton, G. E. (2021). How to represent part-whole hierarchies in a neural network. CoRR, abs\/2102.12627. https:\/\/arxiv.org\/abs\/2102.12627","journal-title":"CoRR"},{"key":"e_1_3_4_41_1","volume-title":"Fluid concepts and creative analogies: Computer Models of the fundamental mechanisms of thought","author":"Hofstadter D.","year":"1995","unstructured":"Hofstadter, D., & FARG. (1995). Fluid concepts and creative analogies: Computer Models of the fundamental mechanisms of thought. Basic Books."},{"key":"e_1_3_4_42_1","doi-asserted-by":"crossref","first-page":"499","DOI":"10.7551\/mitpress\/1251.003.0020","volume-title":"The Analogical Mind: Perspectives from Cognitive Science","author":"Hofstadter D. R","year":"2001","unstructured":"Hofstadter, D. R. (2001). Analogy as the core of cognition. In D. Gentner, K. J. Holyoak, & B. N. Kokinov (Eds.), The Analogical Mind: Perspectives from Cognitive Science (pp. 499\u2013538). Publisher MIT Press. http:\/\/cognet.mit.edu\/book\/analogical-mind"},{"key":"e_1_3_4_43_1","volume-title":"Surfaces and essences: Analogy as the fuel and fire of thinking","author":"Hofstadter D.","year":"2013","unstructured":"Hofstadter, D., & Sander, E. (2013). Surfaces and essences: Analogy as the fuel and fire of thinking. Basic Books."},{"key":"e_1_3_4_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00876"},{"key":"e_1_3_4_45_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-017-2252-0"},{"key":"e_1_3_4_46_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.newideapsych.2006.07.004"},{"key":"e_1_3_4_47_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.newideapsych.2006.10.006"},{"key":"e_1_3_4_48_1","doi-asserted-by":"publisher","DOI":"10.1075\/milcc.5.07ind"},{"key":"e_1_3_4_49_1","article-title":"Perceiver: General perception with iterative attention","author":"Jaegle A.","year":"2021","unstructured":"Jaegle, A., Gimeno, F., Brock, A., Zisserman, A., Vinyals, O., & Carreira, J. (2021). Perceiver: General perception with iterative attention. CoRR, abs\/2103.03206. https:\/\/arxiv.org\/abs\/2103.03206","journal-title":"CoRR"},{"key":"e_1_3_4_51_1","article-title":"An analysis of visual question answering algorithms","author":"Kafle K.","year":"2017","unstructured":"Kafle, K., & Kanan, C. (2017). An analysis of visual question answering algorithms. CoRR, abs\/1703.09684. https:\/\/arxiv.org\/abs\/1703.09684","journal-title":"CoRR"},{"key":"e_1_3_4_52_1","doi-asserted-by":"publisher","DOI":"10.1086\/psaprocbienmeetp.1982.1.192682"},{"key":"e_1_3_4_53_1","doi-asserted-by":"publisher","DOI":"10.4324\/9781315009292"},{"key":"e_1_3_4_54_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00422382"},{"key":"e_1_3_4_55_1","article-title":"Building machines that learn and think like people","author":"Lake B. M.","year":"2016","unstructured":"Lake, B. M., Ullman, T. D., Tenenbaum, J. B., & Gershman, S. J. (2016). Building machines that learn and think like people. CoRR, abs\/1604.00289. https:\/\/arxiv.org\/abs\/1604.00289","journal-title":"CoRR"},{"key":"e_1_3_4_56_1","volume-title":"Metaphors we live by Phoenix books","author":"Lakoff G.","year":"1980","unstructured":"Lakoff, G., & Johnson, M. (1980). Metaphors we live by Phoenix books. University of Chicago Press."},{"key":"e_1_3_4_57_1","doi-asserted-by":"publisher","DOI":"10.1080\/08956308.2018.1516928"},{"key":"e_1_3_4_58_1","unstructured":"LeCun Y. & Misra I. (2021). Self-supervised learning: The dark matter of intelligence . Facebook AI Blog https:\/\/ai.facebook.com\/blog\/self-supervised-learning-the-dark-matterof-intelligence"},{"key":"e_1_3_4_59_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0095-3"},{"key":"e_1_3_4_60_1","first-page":"405","volume-title":"Advances in neural information processing systems","author":"Ma L.","year":"2017","unstructured":"Ma, L., Jia, X., Sun, Q., Schiele, B., Tuytelaars, T., & Van Gool, L. (2017). Pose guided person image generation. In I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, & R. Garnett (Eds.), Advances in neural information processing systems (Vol. 30, pp. 405\u2013415). Curran Associates, Inc."},{"key":"e_1_3_4_61_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2016.01.019"},{"key":"e_1_3_4_62_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1113"},{"key":"e_1_3_4_63_1","first-page":"403","volume-title":"Semantic information processing","author":"McCarthy J","year":"1968","unstructured":"McCarthy, J. (1968). Programs with common sense. In M. Minsky (Ed.), Semantic information processing (pp. 403\u2013418). MIT Press."},{"key":"e_1_3_4_64_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1910416117"},{"key":"e_1_3_4_65_1","doi-asserted-by":"publisher","DOI":"10.4324\/9781315519050"},{"key":"e_1_3_4_66_1","doi-asserted-by":"publisher","DOI":"10.1177\/0278364911430417"},{"key":"e_1_3_4_67_1","volume-title":"7 DeepDream: How Alexander Mordvintsev excavated the computer\u2019s hidden layers","author":"Miller A. I","year":"2019","unstructured":"Miller, A. I. (2019). 7 DeepDream: How Alexander Mordvintsev excavated the computer\u2019s hidden layers 59\u201370. MIT Press."},{"key":"e_1_3_4_68_1","first-page":"6972","volume-title":"Proceedings of the 37th international conference on machine learning","volume":"119","author":"Mittal S.","year":"2020","unstructured":"Mittal, S., Lamb, A., Goyal, A., Voleti, V., Shanahan, M., Lajoie, G., Mozer, M., & Bengio, Y. (2020). Learning to combine top-down and bottom-up signals in recurrent neural networks with attention over modules. In Proceedings of the 37th international conference on machine learning, volume 119, 6972\u20136986."},{"key":"e_1_3_4_69_1","volume-title":"Inceptionism: Going deeper into neural networks","author":"Mordvintsev A.","year":"2015","unstructured":"Mordvintsev, A., Olah, C., & Tyka, M. (2015). Inceptionism: Going deeper into neural networks. https:\/\/research.googleblog.com \/2015\/06\/inceptionism-going-deeper-into-neural.html"},{"key":"e_1_3_4_70_1","doi-asserted-by":"publisher","DOI":"10.1037\/h0084327"},{"key":"e_1_3_4_71_1","article-title":"Imagenet large scale visual recognition challenge","author":"Russakovsky O.","year":"2014","unstructured":"Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M. S., Berg, A. C., & Li, F. (2014). Imagenet large scale visual recognition challenge. CoRR, abs\/1409.0575. https:\/\/arxiv.org\/abs\/1409.0575","journal-title":"CoRR"},{"key":"e_1_3_4_72_1","doi-asserted-by":"publisher","DOI":"10.1037\/0096-3445.110.4.474"},{"key":"e_1_3_4_73_1","first-page":"339","volume-title":"Proceedings of ICAART","author":"Schwering A.","year":"2009","unstructured":"Schwering, A., Kehnberger, K.-U., Krumnack, U., Gust, H., Wandmacher, T., Indurkhya, B., & Ojha, A. (2009). A computational model for visual metaphors - interpreting creative visual advertisements. In Proceedings of ICAART, 339\u2013344. INSTICC, SciTePress."},{"key":"e_1_3_4_74_1","doi-asserted-by":"publisher","DOI":"10.1207\/s15516709cog2901_5"},{"key":"e_1_3_4_75_1","article-title":"Commonsense reasoning for natural language understanding: A survey of benchmarks, resources, and approaches","author":"Storks S.","year":"2019","unstructured":"Storks, S., Gao, Q., & Chai, J. Y. (2019). Commonsense reasoning for natural language understanding: A survey of benchmarks, resources, and approaches. CoRR, abs\/1904.01172. https:\/\/arxiv.org\/abs\/1904.01172","journal-title":"CoRR"},{"key":"e_1_3_4_76_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1023052124951"},{"key":"e_1_3_4_77_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1513198113"},{"key":"e_1_3_4_78_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.conb.2020.11.009"},{"key":"e_1_3_4_79_1","doi-asserted-by":"publisher","DOI":"10.1037\/11496-005"},{"key":"e_1_3_4_80_1","article-title":"Deep nets: What have they ever done for vision?","author":"Yuille A. L.","year":"2018","unstructured":"Yuille, A. L., & Liu, C. (2018). Deep nets: What have they ever done for vision? CoRR, abs\/1805.04025. https:\/\/arxiv.org\/abs\/1805.04025","journal-title":"CoRR"},{"key":"e_1_3_4_81_1","volume-title":"Auto-conditioned recurrent mixture density networks for learning generalizable robot skills","author":"Zhang H.","year":"2018","unstructured":"Zhang, H., Heiden, E., Nikolaidis, S., Lim, J. J., & Sukhatme, G. S. (2018). Auto-conditioned recurrent mixture density networks for learning generalizable robot skills .arXiv preprint arXiv:1810.00146.https:\/\/arxiv.org\/abs\/1810.00146"},{"key":"e_1_3_4_82_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2020.01.011"}],"container-title":["Journal of Experimental &amp; Theoretical Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/0952813X.2022.2078889","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,21]],"date-time":"2023-11-21T20:48:34Z","timestamp":1700599714000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/0952813X.2022.2078889"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,18]]},"references-count":80,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2023,11,17]]}},"alternative-id":["10.1080\/0952813X.2022.2078889"],"URL":"https:\/\/doi.org\/10.1080\/0952813x.2022.2078889","relation":{},"ISSN":["0952-813X","1362-3079"],"issn-type":[{"value":"0952-813X","type":"print"},{"value":"1362-3079","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,18]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=teta20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=teta20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2021-03-25","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-05-11","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-05-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}