Abstract
This paper makes a case for the challenge of an inductive approach to research in economics and management science focused on the use of a natural language interface for action-based applications tailored to business-specific functions. Natural language is a highly dynamical and dialectical process drawing on human cognition and, reflexively, on economic behaviour. The use of natural language is ubiquitous to human interaction and, among others, permeates every facet of companies’ decision-making. Therefore, we take up this challenge by designing and conducting a lab experiment – conceived and named by us as NLIDB game – based on an inductive method using a novel natural language user interface to database (NLIDB) query application system. This interface has been designed and developed by us in order both (i) to enable managers or practitioners to make complex queries as well as ease their decision-making process in certain business areas, and thus (ii) to be used by experimental economists exploring the role of managers and business professionals. The long-term goal is to look for patterns in the experimental data, working to develop a possible research hypothesis that might explain them. Our preliminary findings suggest that experimental subjects are able to use this novel interface more effectively with respect to the more commons graphical interfaces company-wide. Most importantly, subjects make use of cognitive heuristics during the treatments, achieving pragmatic and satisficing rather than theoretically oriented optimal solutions, especially with incomplete or imperfect information or limited computation capabilities. Furthermore, the implementation of our NLIDB roughly translates into savings of transaction costs, because managers can make queries without recurring to technical support, thus reducing both the time needed to have effective results from business decisions and operating practices, and the costs associated with each outcome.
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References
Schwitter, R.: Controlled natural languages for knowledge representation. In: Proceedings of the 23rd International Conference on Computational Linguistics, pp. 1113–1121. Association for Computational Linguistics, Beijing (2010)
Huijsen, W.-O.: controlled language – an introduction. In: Proceedings of the Second International Workshop on Controlled Language Applications, pp. 1–15. Language Technologies Institute, Carnegie Mellon University, Pittsburgh (1998)
Pool, J.: Can controlled languages scale to the web?. In: Proceedings of the 5th International Workshop on Controlled Language Applications, pp. pp. 1–12. Association for Machine Translation in the Americas, Cambridge (2006)
Kuhn, T.: A survey and classification of controlled natural languages. Comput. Linguist. 40(1), 121–170 (2014)
Newell, A., Simon, H.A.: Human Problem Solving. Prentice-Hall Inc., Englewood Cliffs (1972)
Dascal, M.: Interpretation and Understanding. J. Benjamins BV, Philadelphia (2003)
Yngve, V.H.: COMIT, Programmer’s Reference Manual and Introduction to COMIT programming. MIT Press, Cambridge (1961)
Bobrow, D.G.: Natural language input for a computer problem solving system. In: Minsky, M.L. (ed.) Semantic Information Processing, pp. 146–226. MIT Press, Cambridge (1964, 1968)
Chesñevar, C.I., Maguitman, A.G., Loui, R.P.: Logical models of argument. ACM Comput. Surv. 32(4), 337–383 (2000)
Wegner, P.: Why interaction is more powerful than algorithms. Commun. ACM 40(5), 80–91 (1997)
West, D.: Hermeneutic computer science. Commun. ACM 40(4), 115–116 (1997)
Androutsopoulos, I., Ritchie, G., Thanisch, P.: Natural language interfaces to databases – an introduction. J. Lang. Eng. 1(1), 29–81 (1995)
Newell, A., Simon, H.A.: Computer science as empirical enquiry: symbols and search. Commun. ACM 19(3), 113–126 (1976)
Winograd, T.: Procedures as a representation for data in a computer program for understanding natural languages. Technical report MAC-TR-84, MIT, Boston, MA (1971). Published as a full issue of Cogn. Psychol. 3(1), 1–191 (1972)
Nelken, R., Francez, N.: Querying temporal databases using controlled natural language. In: Kay, M. (ed.) Proceedings of the 18th International Conference on Computational Linguistics, vol. 1. Morgan Kaufmann Publishers, San Francisco (2000)
Grin, F., Sfreddo, C., Vaillancourt, F.: The Economics of the Multilingual Workplace. Routledge, New York (2010)
Ginsburgh, V., Weber, S.: How Many Languages Do We Need? The Economics of Linguistic Diversity. Princeton University Press, Princeton (2011)
Rubinstein, A.: Why are certain properties of binary relations relatively more common in natural language? Econometrica 64(2), 343–355 (1996)
Rubinstein, A.: Economics and Language. Cambridge University Press, Cambridge (2000)
Blume, A.: Coordination and learning with a partial language. J. Econ. Theory 95(1), 1–36 (2000)
Blume, A., Board, O.: Language barriers. Econometrica 81(2), 781–812 (2013)
Weber, R.A., Camerer, C.F.: Cultural conflict and merger failure: an experimental approach. Manag. Sci. 49(4), 400–415 (2003)
Selten, R., Warglien, M.: The emergence of simple languages in an experimental coordination game. PNAS 104(18), 7361–7366 (2007)
Houser, D., Xiao, E.: Classification of natural language messages using a coordination game. Exp. Econ. 14(1), 1–14 (2011)
Fodor, J.A.: The Language of Thought. Crowell, New York (1975)
Pylyshyn, Z.W.: Computation and Cognition. MIT Press, Cambridge (1984)
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Dell’Aversana, R., Bucciarelli, E. (2020). A Lab Experiment Using a Natural Language Interface to Extract Information from Data: The NLIDB Game. In: Bucciarelli, E., Chen, SH., Corchado, J. (eds) Decision Economics: Complexity of Decisions and Decisions for Complexity. DECON 2019. Advances in Intelligent Systems and Computing, vol 1009. Springer, Cham. https://doi.org/10.1007/978-3-030-38227-8_12
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