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Sentic Computing

Part of the book series: SpringerBriefs in Cognitive Computation ((BRIEFSCC,volume 2))

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Abstract

Providing a machine with physical knowledge of how objects behave, social knowledge of how people interact, sensory knowledge of how things look and taste and psychological knowledge about the way people think, is not enough to make it intelligent. Having a database of millions of concepts is not very useful for a computer, unless it is able to conveniently use such knowledge base. Our ability to use common sense knowledge, in fact, highly depends on being able to do common sense reasoning. Machines need to be taught not just common sense knowledge itself but also strategies for handling it, retrieving it when necessary, and learning from experience.

A perfect intelligence would not confine itself to one order ofthought, but would simultaneously regard a group of objectsas classified in all the ways of which they are capableStanley Jevons.

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References

  1. Liu, H., Singh, P.: ConceptNet: A practical commonsense reasoning toolkit. BT Technol. J. 22(4), 211–226 (2004)

    Article  CAS  Google Scholar 

  2. Mueller, E.: Commonsense Reasoning. Morgan Kaufmann, San Francisco (2006)

    Google Scholar 

  3. Havasi, C., Speer, R., Alonso, J.: ConceptNet 3: a flexible, multilingual semantic network for common sense knowledge. RANLP, Borovets, In (2007)

    Google Scholar 

  4. Speer, R.: Open mind commons: an inquisitive approach to learning common sense. Workshop on Common Sense and Interactive Applications, Honolulu, In (2007)

    Google Scholar 

  5. Speer, R., Havasi, C.: Representing general relational knowledge in conceptnet 5. LREC, Istanbul, In (2012)

    Google Scholar 

  6. Plutchik, R.: The nature of emotions. Am. Sci. 89(4), 344–350 (2001)

    Google Scholar 

  7. Frijda, N.: The laws of emotions. Am. Psychol. 43(5), 249–358 (1988)

    Article  Google Scholar 

  8. Neisser, U.: Cognitive Psychology. Appleton Century Crofts, New York (1967)

    Google Scholar 

  9. Strapparava, C., Valitutti, A.: WordNet-affect: an affective extension of WordNet. LREC, Lisbon, In (2004)

    Google Scholar 

  10. Cambria, E., Hussain, A., Havasi, C., Eckl, C.: SenticSpace: visualizing opinions and sentiments in a multi-dimensional vector space. In: Setchi, R., Jordanov, I., Howlett, R., Jain, L. (eds.) Knowledge-Based and Intelligent Information and Engineering Systems. Lecture Notes in Artificial Intelligence, vol. 6279, pp. 385–393. Springer, Berlin (2010).

    Google Scholar 

  11. Minsky, M.: The Society of Mind. Simon and Schuster, New York (1986)

    Google Scholar 

  12. Cambria, E., Hussain, A., Havasi, C., Eckl, C.: AffectiveSpace: blending common sense and affective knowledge to perform emotive reasoning. In: CAEPIA, pp. 32–41. Seville (2009).

    Google Scholar 

  13. Fauconnier, G., Turner, M.: The Way We Think: Conceptual Blending and the Mind’s Hidden Complexities. Basic Books, New York (2003)

    Google Scholar 

  14. Lanczos, C.: An iteration method for the solution of the eigenvalue problem of linear differential and integral operators. J. Res. Natl. Bureau Stand. 45(4), 255–282 (1950)

    Article  Google Scholar 

  15. Osgood, C., May, W., Miron, M.: Cross-Cultural Universals of Affective Meaning. University of Illinois Press, Urbana (1975)

    Google Scholar 

  16. Eckart, C., Young, G.: The approximation of one matrix by another of lower rank. Psychometrika 1(3), 211–218 (1936)

    Article  Google Scholar 

  17. Cambria, E., Hussain, A., Durrani, T., Havasi, C., Eckl, C., Munro, J.: Sentic computing for patient centered application. In: IEEE ICSP, pp. 1279–1282. Beijing (2010).

    Google Scholar 

  18. Cambria, E., Livingstone, A., Hussain, A.: The hourglass of emotions. In: Cognitive Behavioral Systems, Lecture Notes in Computer Science. Springer, Berlin Heidelberg (2012).

    Google Scholar 

  19. Minsky, M.: The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind. Simon& Schuster, New York (2006)

    Google Scholar 

  20. James, W.: What is an emotion? Mind 34, 188–205 (1884)

    Article  Google Scholar 

  21. Dalgleish, T.: The emotional brain. Nat. Perspectives 5, 582–589 (2004)

    CAS  Google Scholar 

  22. Broca, P.: Anatomie comparée des circonvolutions cérébrales: Le grand lobe limbique. Rev. Anthropol 1, 385–498 (1878)

    Google Scholar 

  23. Papez, J.: A proposed mechanism of emotion. Neuropsychiatry Clin. Neurosci. 7, 103–112 (1937)

    Google Scholar 

  24. Maclean, P.: Psychiatric implications of physiological studies on frontotemporal portion of limbic system (visceral brain). Electroencephalogr. Clin. Neurophysiol. Suppl. 4, 407–18 (1952)

    Article  CAS  Google Scholar 

  25. Ledoux, J.: Synaptic Self. Penguin Books, London (2003)

    Google Scholar 

  26. Charles, D.: The Expression of the Emotions in Man and Animals. John Murray, London (1872)

    Google Scholar 

  27. Ekman, P., Dalgleish, T., Power, M.: Handbook of Cognition and Emotion. Wiley, Chichester (1999)

    Google Scholar 

  28. Scherer, K.: Psychological models of emotion. In: Borod, J.C. (ed.) The Neuropsychology of Emotion Pages, pp. 137–162. Oxford University, New york (2000)

    Google Scholar 

  29. Parrott, W.: Emotions in Social Psychology. Psychology Press, Philadelphia (2001)

    Google Scholar 

  30. Prinz, J.: Gut Reactions: A Perceptual Theory of Emotion. Oxford University Press, Oxford (2004)

    Google Scholar 

  31. Douglas-Cowie, E.: Humaine deliverable d5g: Mid term report on database exemplar progress. Technical report, Information Society Technologies, In (2006)

    Google Scholar 

  32. Kapoor, A., Burleson, W., Picard, R.: Automatic prediction of frustration. Int. J. Human Comput. Stud. 65, 724–736 (2007)

    Article  Google Scholar 

  33. Castellano, G., Kessous, L., Caridakis, G.: Multimodal emotion recognition from expressive faces, body gestures and speech. Doctoral Consortium of ACII, Lisbon, In (2007)

    Google Scholar 

  34. Averill, J.: A constructivist view of emotion. In: Plutchik, R., Kellerman, H. (eds.) Emotion: Theory, Research and Experience, pp. 305–339. Academic Press, New York (1980)

    Google Scholar 

  35. Russell, J.: Core affect and the psychological construction of emotion. Psychol. Rev. 110, 145–172 (2003)

    Article  PubMed  Google Scholar 

  36. Osgood, C., Suci, G., Tannenbaum, P.: The Measurement of Meaning. University of Illinois Press, Urbana (1957)

    Google Scholar 

  37. Russell, J.: Affective space is bipolar. J. Pers. Soc. Psychol. 37, 345–356 (1979)

    Article  Google Scholar 

  38. Whissell, C.: The dictionary of affect in language. In: Plutchik, R., Kellerman, H. (eds.) Emotion: Theory, Research, and Experience, vol. 4, pp. 113–131. Academic Press, New York (1989)

    Google Scholar 

  39. Freitas, A., Castro, E.: Facial expression: the effect of the smile in the treatment of depression. empirical study with portuguese subjects. In: Emotional Expression: The Brain and The Face, pp. 127–140. University Fernando Pessoa Press, Oporto (2009).

    Google Scholar 

  40. Mehrabian, A.: Pleasure-arousal-dominance: a general framework for describing and measuring individual differences in temperament. Curr. Psychol. 14(4), 261–292 (1996)

    Article  Google Scholar 

  41. Fontaine, J., Scherer, K., Roesch, E., Ellsworth, P.: The world of emotions is not two-dimensional. Psychol. Sci. 18(12), 1050–1057 (2007)

    Article  PubMed  Google Scholar 

  42. Cochrane, T.: Eight dimensions for the emotions. Soc. Sci. Inform. 48(3), 379–420 (2009)

    Article  Google Scholar 

  43. Lazarus, R.: Emotion and Adaptation. Oxford University Press, New York (1991)

    Google Scholar 

  44. Lewis, M.: Self-conscious emotions: embarrassment, pride, shame, and guilt. In: Handbook of Cognition and Emotion, vol. 2, pp. 623–636. Guilford Press, New York (2000).

    Google Scholar 

  45. Scherer, K., Shorr, A., Johnstone, T.: Appraisal Processes in Emotion: Theory, Methods. Research. Oxford University Press, Canary (2001)

    Google Scholar 

  46. Tracy, J., Robins, R., Tangney, J.: The Self-Conscious Emotions: Theory and Research. The Guilford Press, New York (2007)

    Google Scholar 

  47. Zeki, S., Romaya, J.: Neural correlates of hate. PloS one 3(10), 35–56 (2008)

    Article  Google Scholar 

  48. Cahill, L., McGaugh, J.: A novel demonstration of enhanced memory associated with emotional arousal. Conscious. Cogn. 4(4), 410–421 (1995)

    Article  PubMed  CAS  Google Scholar 

  49. Bradford Cannon, W.: Bodily Changes in Pain, Hunger, Fear and Rage: An Account of Recent Researches into the Function of Emotional Excitement. Appleton Century Crofts, New York (1915)

    Google Scholar 

  50. Barrett, L.: Solving the emotion paradox: categorization and the experience of emotion. Pers. Soc. Psychol. Rev. 10(1), 20–46 (2006)

    Article  PubMed  Google Scholar 

  51. Krumhuber, E., Kappas, A.: Moving smiles: the role of dynamic components for the perception of the genuineness of smiles. J. Nonverbal Behav. 29(1), 3–24 (2005)

    Article  Google Scholar 

  52. Lewis, M., Granic, I.: Emotion, Development, and Self-Organization: Dynamic Systems Approaches to Emotional Development. Cambridge University Press, Cambridge (2002)

    Google Scholar 

  53. Csikszentmihalyi, M.: Flow: The Psychology of Optimal Experience. Harper Perennial, New York (1991)

    Google Scholar 

  54. Cambria, E., Mazzocco, T., Hussain, A., Eckl, C.: Sentic medoids: Organizing affective common sense knowledge in a multi-dimensional vector space. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds.) Advances in Neural Networks, Lecture Notes in Computer Science, vol. 6677, pp. 601–610. Springer-Verlag, Berlin (2011)

    Google Scholar 

  55. Kaufman, L., Rousseeuw, P.: Finding Groups in Data: An Introduction to Cluster Analysis. Wiley-Interscience, New York (1990)

    Book  Google Scholar 

  56. Hartigan, J., Wong, M.: Algorithm AS 136: a k-means clustering algorithm. J. Royal Stat. Soc. 28(1), 100–108 (1979)

    Google Scholar 

  57. Han, J., Kamber, M., Tung, A.: Spatial clustering methods in data mining: A survey. In: Francis, T. (ed.) Geographic. Data Mining and Knowledge Discovery. Springer Verlag, Berlin (2001)

    Google Scholar 

  58. MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Fifth Berkeley Symposium on Mathematical Statistics and Probability, pp. 281–297. University of California Press (1967).

    Google Scholar 

  59. Garey, M., Johnson, D.: Computers and Intractability: A Guide to the Theory of NP-Completeness. Freeman, New York (1979)

    Google Scholar 

  60. Park, H., Jun, C.: A simple and fast algorithm for k-medoids clustering. Expert Syst. Appl. 36(2), 3336–3341 (2009)

    Article  Google Scholar 

  61. Duda, R., Hart, P.: Pattern Classification and Scene Analysis. John Wiley, New York (1973)

    Google Scholar 

  62. Kirkpatrick, L., Epstein, S.: Cognitive experiential self-theory and subjective probability: further evidence for two conceptual systems. J. Pers. Soc. Psychol. 63, 534–544 (1992)

    Article  PubMed  CAS  Google Scholar 

  63. Chaiken, S., Trope, Y.: Dual-Process Theories in Social Psychology. Guilford, New York (1999)

    Google Scholar 

  64. Smith, E., DeCoster, J.: Dual-process models in social and cognitive psychology: conceptual integration and links to underlying memory systems. Pers. Soc. Psychol. Rev. 4(2), 108–131 (2000)

    Article  Google Scholar 

  65. Epstein, S.: Cognitive-experiential self-theory of personality. In: Millon, T., Lerner, M. (eds.) Comprehensive Handbook of Psychology, p. 184. Wiley, Hoboken (2003).

    Google Scholar 

  66. Lieberman, M.: Social cognitive neuroscience: a review of core processes. Ann. Rev. Psychol. 58, 259–89 (2007)

    Article  Google Scholar 

  67. Damasio, A.: Looking for Spinoza: Joy, Sorrow, and the Feeling Brain. Harcourt, Inc., Orlando (2003)

    Google Scholar 

  68. Dalgleish, T., Dunn, B., Mobbs, D.: Affective neuroscience: past, present, and future. Emot. Rev. 1(4), 355–368 (2009)

    Article  Google Scholar 

  69. Calvo, R., D’Mello, S.: Affect detection: an interdisciplinary review of models, methods, and their applications. IEEE Trans. Affect. Comput. 1(1), 18–37 (2010)

    Article  Google Scholar 

  70. Ohman, A., Soares, J.: Emotional conditioning to masked stimuli: expectancies for aversive outcomes following nonre- cognized fear-relevant stimuli. J. Experim. Psychol. Gen. 127(1), 69–82 (1998)

    Article  CAS  Google Scholar 

  71. Calvo, M., Nummenmaa, L.: Processing of unattended emotional visual scenes. J. Experim. Psychol. Gen. 136, 347–369 (2007)

    Article  Google Scholar 

  72. Westen, D.: Implications of developments in cognitive neuroscience for psychoanalytic psychotherapy. Harv. Rev. Psychiatry. 10(6), 369–373 (2002)

    Article  PubMed  Google Scholar 

  73. Cambria, E., Olsher, D., Kwok, K.: Sentic activation: A two-level affective common sense reasoning framework. AAAI, Toronto, In (2012)

    Google Scholar 

  74. Havasi, C., Speer, R., Holmgren, J.: Automated color selection using semantic knowledge. AAAI CSK, Arlington, In (2010)

    Google Scholar 

  75. Cambria, E., Mazzocco, T., Hussain, A., Durrani, T.: Switching between different ways to think: Multiple approaches to affective common sense reasoning. In: Esposito, A., Vinciarelli, A., Vicsi, K., Pelachaud, C., Nijholt, A. (eds.) Analysis of Verbal and Nonverbal Communication and Enactment: The Processing Issues, Lecture Notes in Computer Science, vol. 6800, pp. 56–69. Springer, Berlin Heidelberg (2011)

    Chapter  Google Scholar 

  76. Cambria, E., Olsher, D., Kwok, K.: Sentic panalogy: Swapping affective common sense reasoning strategies and foci. CogSci, Sapporo, In (2012)

    Google Scholar 

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Authors and Affiliations

  1. Media Laboratory, Massachusetts Institute of Technology, Cambridge, USA

    Erik Cambria

  2. Department of Computing Science, University of Stirling, Stirling, UK

    Amir Hussain

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  1. Erik Cambria
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  2. Amir Hussain
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Correspondence to Erik Cambria .

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Cambria, E., Hussain, A. (2012). Techniques. In: Sentic Computing. SpringerBriefs in Cognitive Computation, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5070-8_3

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