Skip to main content

Constructive Biology of Emotion Systems: First- and Second-Person Methods for Grounding Adaptation in a Biological and Social World

  • Chapter
  • First Online:
Cognitive Architectures

Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering ((ISCA,volume 94))

  • 917 Accesses

Abstract

We consider the interpretation of emotions and similiar phenomena as support for survival and coping in the world. Grounded in the first-person experience of an emotional agent, certain such emotions, drives or experiences are self-oriented (homeostasis, intake, outflow: hunger, pain, irritation), while others suggest a generalized or specific recognition of other agents or objects (curiosity, fear; or hatred, envy, yearning, greed). Other, more complex emotions are involved in relations to a second person (sympathy) or social regulation (shame, guilt, feelings of loyalty) or affective episodic structure (hope, regret). Considering complex emotions in relation to other ‘persons’ yields insight into the roles and possible design of various emotional phenomena in behavioral regulation in biological, software, and social contexts. Affective coloring of episodic memories of sequences of actions and experiences may suggest a mechanism for the grounding of behavioral adaptation. We explore channels of meaning for agents in interaction games as these relate to emotions, the temporal dynamics of affect in relation to behavior, remembering, and learning; and we outline how affective coloring of episodic memories might provide a mechanism for emergent spatial and social navigation, as well as considering the role of the temporal horizon in behavior selection.

This previously unpublished paper written in 1999 had been accepted for journal publication in the special issue guest-edited by L. Cañamero and P. Petta on Grounding Emotions in Adaptive Systems of Cybernetics and Systems: An International Journal, vol. 32(5–6), 2001, but was too long for inclusion in this full form and was not shortened by author. The references have not been updated.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Harré, R., & Gerrod Parrott, W. (Eds.). (1996). The emotions: Social, cultural and biological dimensions.

    Google Scholar 

  2. Maes, P. (Ed.). (1991). Designing autonomous agents: Theory and practice from biology to engineering and back. MIT Press.

    Google Scholar 

  3. Beynon, M. Empirical modelling and the foundations of artificial intelligence. In [28] (pp. 322–364).

    Google Scholar 

  4. Webb, B. (1994). Robotic experiments in cricket phonotaxis. In D. Cliff, P. Husbands, J.-A. Meyer, & S. W. Wilson (Eds.), From animals to animats 3: Proceedings of the third international conference on simulation of adaptive behavior, August 8–12, 1994 (pp. 45–54). Brighton, England.

    Google Scholar 

  5. Webb, B. (1995). Using robots to model animals: A cricket test. Robotics and Autonomous Systems, 16-117-134.

    Google Scholar 

  6. Braitenberg, V. (1986). Vehicles: Experiments in synthetic psychology. MIT Press.

    Google Scholar 

  7. Skinner, B. F. (1938). The behavior of organisms. New York: Appleton Century.

    Google Scholar 

  8. Arnold, M. B. (Ed.). (1968). The nature of emotion: Selected readings. Harmondsworth: Penguin.

    Google Scholar 

  9. James, W. (1884). What is emotion? Mind, 9, 118–205.

    Google Scholar 

  10. Dautenhahn, K. (1997). I could be you—the phenomenological dimension of social understanding. Cybernetics and Systems Journal, Special Issue on Epistemological Aspects of Embodied AI, 28(5), 417–453.

    Google Scholar 

  11. Dautenhahn, K. (1998). The art of designing socially intelligent agents—science, fiction, and the human in the loop. Special issue on socially intelligent agents. Applied Artificial Intelligence, 12(7–8), 513–617.

    Google Scholar 

  12. Dautenhahn, K. Embodiment and interaction in socially intelligent life-like agents. In [28] (pp. 102-142).

    Google Scholar 

  13. Wilson, E. O. (1974). The insect societies. Harvard University Press.

    Google Scholar 

  14. Nehaniv, C. L. The second person—meaning and metaphors. In [28].

    Google Scholar 

  15. Nehaniv, C. L. (1999). Meaning for observers and agents. In Proceedings IEEE international symposium on intelligent control intelligent systems and semiotics, ISIC/ISAS’99, 15–17 September 1999. Cambridge, Massachusetts.

    Google Scholar 

  16. Beckers, R., Holland, O. E., & Deneubourg, J. L. (1994). From local actions to global tasks. In R. A. Brooks & P. Maes (Eds.), Artificial Life IV (pp. 181–189). MIT Press.

    Google Scholar 

  17. Grassé, P. P. (1959). La reconstruction du nid et les coordinations inter-individuelles chez Bellicositermes natalensis et Cubitermes sp. La theorie de la stigmergie. Essai d’interpretation des termites constructeurs. Ins. Soc., 6, 41–48.

    Google Scholar 

  18. Shannon, C. E., & Weaver, W. (1963). The mathematical theory of communication. University of Illinois Press.

    Google Scholar 

  19. Maturana, H. R., & Varela, F. J. (1992). The tree of knowledge: The biological roots of human understanding (Revised edition). Shambala Publications, Inc.

    Google Scholar 

  20. Quick, T., Dautenhahn, K., Nehaniv, C., & Roberts, G. (1999, September). On bots and bacteria: Ontology-independent embodiment. In Proceedings fifth European conference on artificial life. Switzerland.

    Google Scholar 

  21. Wittgenstein, L. (1958). The blue and brown books. Harper & Brothers.

    Google Scholar 

  22. Wittgenstein, L. (1968). Philosophical investigations, (Philosophische Untersuchungen). German with English translation by G. E. M. Anscombe, 1964. Basil Blackwell, Oxford, reprinted 3rd edition.

    Google Scholar 

  23. Goguen, J. An introduction to algebraic semiotics, with application to user interface design. In [28] (pp. 242–291).

    Google Scholar 

  24. Peirce, C. S. (1965). Collected papers (Vol. 2). Elements of Logic: Harvard.

    Google Scholar 

  25. Nehaniv, C. L. (1997). Algebraic models for understanding: Coordinate systems and cognitive empowerment. In Proceedings of the second international conference on cognitive technology: Humanizing the information age (pp. 147–162). IEEE Computer Society Press.

    Google Scholar 

  26. Brooks, R. A. (1986, April). A robust layered control system for a mobile robot. IEEE Journal, Robotics and Automation, RA-2, 14–23.

    Google Scholar 

  27. Brooks, R. A., Breazeal, C., Marjanović, M., Scassellati, B., & Williamson, M. M. The Cog project: Building a humanoid robot. In [28] (pp. 52–87).

    Google Scholar 

  28. Nehaniv, C. L., & Dautenhahn, K. (1998). Embodiment and memories—algebras of time and history for autobiographic agents. In R. Trappl (Ed.), Cybernetics and systems ’98, proceedings of the 14th European meeting on cybernetics and systems research (Symposium on embodied cognition and artificial intelligence; co-organized by Maja Mataric and Eric Prem), Vienna, Austria, 14–17 April 1998 (Vol. 2, pp. 651–656). Austrian Society for Cybernetic Studies.

    Google Scholar 

  29. Nehaniv, C. L. (Ed.). (1999). Computation for metaphors, analogy and agents. Lecture notes in artificial intelligence (Vol. 1562). Springer.

    Google Scholar 

  30. Ortony, A. (1993). Metaphor and thought (2nd ed. (1st edition: 1979)). Cambridge University Press.

    Google Scholar 

  31. Turner, M. (1996). The literary mind. Oxford.

    Google Scholar 

  32. Turner, M. Forging connections (pp. 11–26). In [28].

    Google Scholar 

  33. Lakoff, G., & Johnson, M. (1980). Metaphors we live by. University of Chicago Press.

    Google Scholar 

  34. Dautenhahn, K., & Nehaniv, C. L. (Eds.). (1999). Proceedings AISB’99 symposium on imitation in animals and artifacts, April 6–9, 1999. Edinburgh, Scotland: Society for the Study of Artificial Intelligence and Simulation of Behaviour.

    Google Scholar 

  35. Nehaniv, C. L., & Dautenhahn, K. (in press). Of hummingbirds and helicopters: An algebraic framework for interdisciplinary studies of imitation and its applications. In J. Demiris & A. Birk (Eds.), Learning Robots: An Interdisciplinary Approach. World Scientific Press.

    Google Scholar 

  36. Scassellati, B. Imitation and mechanisms of joint attention: A developmental structure for building social skills on a humanoid robot (pp. 176–195). In [28].

    Google Scholar 

  37. Toda, M. (1982). Man, robot, and society. The Hague: Nijhoff.

    Google Scholar 

  38. Pfeifer, R. (1994). The Fungus Eater approach to emotion: A view from artificial intelligence. Cognitive Studies, 1, 42–57.

    Google Scholar 

  39. Grand, S., Cliff, D., & Malhorta, A. (1997, February). CREATURES: Artificial life autonomous agents for home entertainment. In Proceedings first international conference on autonomous agents (AGENTS’97—Marina del Rey). Association for Computing Machinery.

    Google Scholar 

  40. Zajonc, R. B. (1980). Feeling and thinking: Preferences need no inferences. American Psychologist, 35, 151–175.

    Article  Google Scholar 

  41. Damasio, A. R. (1994). Descartes’ error: emotion. New York: Reason and the Human Brain. G. P. Putnam & Sons.

    Google Scholar 

  42. Darwin, C. (1965). The expression of emotion, reason, and the human brain in man and animals, 1892. Reprinted by the University of Chicago Press.

    Google Scholar 

  43. Zajonc, R. B. (1984). On the primacy of affect. American Psychologist, 39-117-123.

    Google Scholar 

  44. Ortony, A., Clore, G. L., & Collins, A. (1998). The cognitive structure of emotions. Cambridge University Press.

    Google Scholar 

  45. Landman, J. Social control of ‘Negative’ emotions: The case of regret. In [1].

    Google Scholar 

  46. Rolls, E. T. (1999). The Brain and Emotion, Oxford.

    Google Scholar 

  47. Pavlov, I. P. (1928). Lectures on conditioned reflexes (W. H. Gantt, Trans.). New York: Liverwright.

    Google Scholar 

  48. Gray, J. A. (1975). Elements of a two-process theory of learning. Academic Press.

    Google Scholar 

  49. Roseman, I. J. (1991). Appraisal determinants of discrete emotions. Cognition and Emotion, 5(3), 161–200.

    Article  Google Scholar 

  50. Roseman, I. J., Antoniou, A. A., & Jose, P. E. (1996). Appraisal determinants of emotions: Constructing a more accurate and comprehensive theory. Cognition and Emotion, 10(3), 241–277.

    Article  Google Scholar 

  51. James, W., & Lange, C. G. (1922). The emotions.

    Google Scholar 

  52. Izard, C. E. (1993). Four systems for emotion activation: Cognitive and noncognitive processes. Psychological Review, 100(1), 68–90.

    Article  Google Scholar 

  53. Elliot, C. D. (1992). The affective reasoner: A process model of emotions in a multi-agent system. PhD thesis in computer science, Northwestern University.

    Google Scholar 

  54. Sloman, A., & Croucher, M. (1981, August). Why robots will have emotions. In Proceedings seventh international conference on AI (pp. 197–202).

    Google Scholar 

  55. Wright, L., Sloman, A., & Beaudoin, L. (1996). Towards a design based analysis of emotional episodes. Philosophy, Psychiatry and Psychology, 3(2), 101–126.

    Google Scholar 

  56. Billard, A. (1999). DRAMA, a connectionist model for robot learning: Experiments in grounding communication through imitation in autonomous robots. Ph.D. thesis in artificial intelligence, University of Edinburgh.

    Google Scholar 

  57. Billard, A., & Hayes, G. (1999, January). DRAMA, a connectionist architecture for control and learning in autonomous robots. Adaptive Behavior, 7(1).

    Google Scholar 

  58. Cohen, S. B. (1995). Mindblindness: An essay on autism and theory of mind, MIT Press.

    Google Scholar 

  59. Mowrer, O. H. (1960). Learning theory and behavior. Wiley.

    Google Scholar 

  60. Picard, R. (1997). Affective computing. MIT Press.

    Google Scholar 

  61. Hull, C. L. (1943). Principles of behavior. New York: Appleton Century Crofts.

    Google Scholar 

  62. Spence, K. W. (1956). Behavior theory and conditioning. Yale University Press.

    Google Scholar 

  63. Byrne, R. W., & Whiten, A. (1988). Machiavellian intelligence. Clarendon Press.

    Google Scholar 

  64. Heidegger, M. (1972). On time and being. Harper Torchlight Books.

    Google Scholar 

  65. Dautenhahn, K., & Nehaniv, C.L. (1998, January 19–21). Artificial life and natural stories. In: International symposium on artificial life and robotics—AROB III’98 (Vol. 2, pp. 435–439). Beppu, Oita, Japan.

    Google Scholar 

  66. Nehaniv, C. L. (1997, November). What’s your story?—Irreversibility, algebra, autobiographic agents. In K. Dautenhahn (Ed.), Socially intelligent agents: Papers from the 1997 AAAI fall symposium (Vol. FS-97-02, pp. 150–153). MIT, Cambridge, Massachusetts: American Association for Artificial Intelligence Press.

    Google Scholar 

  67. Nehaniv, C. L., & Dautenhahn, K. (1998). Semigroup expansions for autobiographic agents. In T. Imaoka & C. L. Nehaniv (Eds.), Proceedings of the first symposium on algebra, languages and computation, 30 October–1 November 1997 (pp. 77–84). University of Aizu, Japan.

    Google Scholar 

  68. Dautenhahn, K. (1996, November). Embodiment in animals and artifacts. In AAAI’96 Symposium on Embodied Action and Cognition. American Association for Artificial Intelligence Press, Technical Report FS-96-02, Boston.

    Google Scholar 

  69. Ridley, M. (1996). The origins of virtue: Human instincts and the evolution of cooperation. Viking Books.

    Google Scholar 

  70. Sigmund, K. (1999). The social life of automata. In C. L. Nehaniv (Ed.), Mathematical and computational biology. Lectures on mathematics in the life sciences series (Vol. 26, pp. 133–146). American Mathematical Society.

    Google Scholar 

  71. Dunbar, R. I. M. (1997). Grooming, gossip, and the evolution of language. Harvard University Press.

    Google Scholar 

  72. Gregor, J. A. (1997). Memory & remembering: Everyday memory in context. Addison Wesley Longman Limited.

    Google Scholar 

  73. Nehaniv, C. (1998). The first, second and third person emotions: Grounding adaptation in a biological and social world. In D. Canamero, C. Numaoka, & P. Petta (Eds.), From animals to animats: Fifth international conference of the society for adaptive behavior (SAB’98) workshop on grounding emotions in adaptive systems, 21 August 1998 (pp. 43–47). Zürich, Switzerland.

    Google Scholar 

Download references

Acknowledgements

A preliminary version of this work [73] was presented at the Simulation of Adaptive Behaviour (SAB’98) Workshop “Grounding Emotions in Adaptive Systems” organized by Dolores Cañamero, Chisato Numaoka, and Paulo Petta. The author gratefully acknowledges stimulating discussions with Kerstin Dautenhahn and Joseph Goguen on many of the topics treated here. The ideas expressed are nevertheless the author’s own.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chrystopher L. Nehaniv .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Nehaniv, C.L. (2019). Constructive Biology of Emotion Systems: First- and Second-Person Methods for Grounding Adaptation in a Biological and Social World. In: Aldinhas Ferreira, M., Silva Sequeira, J., Ventura, R. (eds) Cognitive Architectures. Intelligent Systems, Control and Automation: Science and Engineering, vol 94. Springer, Cham. https://doi.org/10.1007/978-3-319-97550-4_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-97550-4_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97549-8

  • Online ISBN: 978-3-319-97550-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics