A dempster-shafer theoretic approach to understanding indirect speech acts

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8864, Issue , 2014, Pages 141-153

  Williams, Tom ^a   Núñez, Rafael C ^b   Briggs, Gordon ^a   Scheutz, Matthias ^a   Premaratne, Kamal ^b   Murthi, Manohar N ^b  

^a TUFTS UNIVERSITY   (United States)

^b University of Miami College of Engineering   (United States)

Author keywords

Dempster Shafer theory; Intention understanding; Speech act theory

Indexed keywords

SEMANTICS;

DEMPSTER-SHAFER THEORY; DEMPSTER-SHAFER THEORY OF EVIDENCE; HUMAN UNDERSTANDING; INTEGRAL FUNCTION; INTENTION UNDERSTANDING; RULE-BASED APPROACH; SPEECH ACT THEORY; UNCERTAIN IMPLICATION RULES;

PROBABILISTIC LOGICS;

EID: 84921662849     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-12027-0_12     Document Type: Article

References (15)

1. Briggs, G., Scheutz, M.: A hybrid architectural approach to understanding and appropriately generating indirect speech acts. In: Proceedings of the 27th AAAI Conference on Artificial Intelligence (July 2013)
2. Brown, P.: Politeness: Some Universals in Language Usage, vol. 4. Cambridge University Press (1987)
3. Chien, A.Y.-H., Soo, V.-W.: Inferring pragmatics from dialogue contexts in simulated virtual agent games. In: Beer, M., Brom, C., Dignum, F., Soo, V.-W. (eds.) AEGS 2011. LNCS, vol. 7471, pp. 123-138. Springer, Heidelberg (2012)
4. Fagin, R., Halpern, J.Y.: A new approach to updating beliefs. In: Uncertainty in Artificial Intelligence. pp. 347-374. Elsevier Science Publishers (1991)
5. Hinkelman, E.A., Allen, J.F.: Two constraints on speech act ambiguity. In: Proceedings of the 27th annual meeting on Association for Computational Linguistics. pp. 212-219. Association for Computational Linguistics (1989)
6. Núñez, R.C., Dabarera, R., Scheutz, M., Briggs, G., Bueno, O., Premaratne, K., Murthi, M.N.: DS-Based Uncertain Implication Rules for Inference and Fusion Applications. In: 16th International Conference on Information Fusion (July 2013)
7. Núñez, R.C., Scheutz, M., Premaratne, K., Murthi, M.N.: Modeling Uncertainty in First-Order Logic: A Dempster-Shafer Theoretic Approach. In: Proceedings of the 8th Int. Symposium on Imprecise Probability: Theories and Applications (July 2013)
8. Pearl, J.: Probabilistic reasoning in intelligent systems: networks of plausible inference. Morgan Kaufmann Publishers Inc., San Francisco (1988)
9. Perrault, C.R., Allen, J.F.: A plan-based analysis of indirect speech acts. Computational Linguistics 6(3-4), 167-182 (1980)
10. Pinker, S., Nowak, M.A., Lee, J.J.: The logic of indirect speech. Proceedings of the National Academy of Sciences 105(3), 833-838 (2008)
11. Premaratne, K., Murthi, M.N., Zhang, J., Scheutz, M., Bauer, P.H.: A Dempster-Shafer theoretic conditional approach to evidence updating for fusion of hard and soft data. In: 12th Int. Conf. on Information Fusion, pp. 2122-2129 (July 2009)
12. Searle, J.R.: Indirect speech acts. Syntax and semantics 3, 59-82 (1975)
13. Shafer, G.: A Mathematical Theory of Evidence. Princeton University Press (1976)
14. Tang, Y., Hang, C.W., Parsons, S., Singh, M.P.: Towards argumentation with symbolic Dempster-Shafer evidence. In: COMMA, pp. 462-469 (2012)
15. Wilske, S., Kruijff, G.J.: Service robots dealing with indirect speech acts. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 4698-4703. IEEE (2006)