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2016 | OriginalPaper | Buchkapitel

4. Toward Conscious-Like Conversational Agents

verfasst von : Milan Gnjatović, Branislav Borovac

Erschienen in: Toward Robotic Socially Believable Behaving Systems - Volume II

Verlag: Springer International Publishing

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Abstract

Although considerable effort has been already devoted to studying various aspects of human-machine interaction, we are still a long way from developing socially believable conversational agents. This paper identifies some of the main causes of the current state in the field: (i) socially believable behaviour of a technical system is misinterpreted as a functional requirement, rather than a qualitative, (ii) the currently prevalent statistical approaches cannot address research problems of managing human-machine interaction that require some sort of contextual analysis, and (iii) the structure of human-machine interaction is unjustifiably reduced to a task structure. In addition, we propose a way to address these pitfalls. We consider the capability of a technical system to simulate fundamental features of human consciousness as one of the key desiderata to perform socially believable behaviour. In line with this, the paper discusses the possibilities for the computational realization of (iv) unified interpretation, (v) learning through interaction, and (vi) context-dependent perception in the context of human-machine interaction.

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Vorheriges Kapitel Adaptive and Evolutive Algorithms: A Natural Logic for Artificial Mind

Nächstes Kapitel Communication Sequences and Survival Analysis

And possibly other contexts (e.g., the user’s electroencelographic activity, etc.).

Apart from the fact that the study of architecture to support intelligent behaviour may be one of the most ill-defined enterprises in the field of artificial intelligence [26].

In our previous work, we refer to these two groups as to focus stimuli and negative reinforcement stimuli. However, the terms stimuli and inhibitors reflect more appropriately the dichotomy between these groups.

The research question of short-term adaptation of the system’s dialogue strategy is addressed in [23, 24].

The practice of long-term collection of the user’s data opens many important ethical questions that are out of the scope of this paper. However, these questions still remain to be properly addressed.

Only for the purpose of illustration, the lower end of the range of significant retrieval costs for a given balanced focus tree can be estimated as the ratio of the height of the focus tree to the number of all nodes in the focus tree.

Alexandersson J, Reithinger N (1997) Learning dialogue structures from a corpus. In: Proceedings of EuroSpeech-97, Rhodes, pp 2231–2235

Bacchiani M, Rybach D (2014) Context dependent state tying for speech recognition using deep neural network acoustic models. In: IEEE international conference on acoustics, speech and signal processing (ICASSP 2014), Florence, pp 230–234

Bernsen NO, Dybkjær L (2010) Multimodal usability. Springer, London

Bilange E (2000) In: Néel F, Bouwhuis DG, Taylor MM (eds) The structure of multimodal dialoque II. An approach to oral dialogue modelling. John Benjamins Publishing Company, Amsterdam

Bledowski C, Kaiser J, Rahm B (2010) Basic operations in working memory: contributions from functional imaging studies. Behav Brain Res 214(2):172–179CrossRef

Boehm BW (1988) A spiral model of software development and enhancement. Computer 21(5):61–72CrossRef

Brouwer H, Fitz H, Hoeks J (2012) Getting real about semantic illusions: rethinking the functional role of the P600 in language comprehension. Brain Res 1446:127–143CrossRef

Casadio M, Giannoni P, Morasso PG, Sanguineti V (2009) A proof of concept study for the integration of robot therapy with physiotherapy in the treatment of stroke patients. Clin Rehabil 23(3):217–228CrossRef

Chomsky N (2000) New Horizons in the study of language and mind. Cambridge University Press, Cambridge

10.

Chomsky N (2002) Syntactic Structures. Walter De Gruyter

11.

Christensen HI, Sloman A, Kruijff G-J, Wyatt JL (2010) Cognitive systems introduction. In: Christensen HI, Kruijff G-J, Wyatt JL (eds) Cognitive systems. Springer, Berlin, pp 3–50CrossRef

12.

Clodic A, Alami R, Montreuil V, Li S, Wrede B, Swadzba A (2007) A study of interaction between dialog and decision for human-robot collaborative task achievement. In: Proceedings of the 16th IEEE international symposium on robot and human interactive communication, RO-MAN 2007, Jeju Island, Korea, pp 913–918

13.

Cortés U, Annicchiarico R, Urdiales C, Barrué C, Martínez A, Villar A, Caltagirone C (2008) Supported Human Autonomy for Recovery and Enhancement of Cognitive and Motor Abilities Using Agent Technologies. Agent Technology and e-Health. Whitestein Series in Software Agent Technologies and Autonomic Computing, Birkhäuser Basel, pp 117–140CrossRef

14.

Dahl G, Yu D, Deng L, Acero A (2012) Context-dependent pre-trained deep neural networks for large vocabulary speech recognition. IEEE Trans Audio Speech Lang Process 20(1):30–42CrossRef

15.

Douglas-Cowie E, Cowie R, Sneddon I, Cox C, Lowry O, McRorie M, Martin JC, Devillers L, Batliner A (2007) The humaine database: addressing the needs of the affective. In: Paiva A, Prada R, Picard R (eds) 2nd international conference on affective computing and intelligent interaction (ACII’, 2007), LNCS, 4738. Lisbon, Portugal, pp 488–500

16.

Esposito A, Vinciarelli A, Haykin S, Hussain A, Faundez-Zanuy M (2011) Cognitive behavioural systems. Cognit Comput 3(3):417–418CrossRef

17.

Esposito A, Fortunati L, Lugano G (2014) Modeling emotion, behavior and context in socially believable robots and ICT interfaces. Cognit Comput 6(4):623–627CrossRef

18.

Garlan D, Schmerl B (2007) The RADAR architecture for personal cognitive assistance. Int J Softw Eng Knowl Eng 17(2):171–190CrossRef

19.

Gnjatović M (2014) Therapist-centered design of a robot’s dialogue behavior. Cognit Comput 6(4):775–788CrossRef

20.

Gnjatović M (2014) Changing concepts of machine dialogue management. In: Proceedings of the 5th IEEE international conference on cognitive infocommunications, cogInfoCom 2014, Vietri sul Mare, Italy, pp 367–372

21.

Gnjatović M, Delić V (2012) A cognitively-inspired method for meaning representation in dialogue systems. In: Proceedings of the 3th IEEE international conference on cognitive infocommunications, cogInfoCom 2012, Košice, Slovakia, pp 383–388

22.

Gnjatović M, Delić V (2013) Electrophysiologically-inspired evaluation of dialogue act complexity. In: Proceedings of the 4th IEEE international conference on cognitive infocommunications, cogInfoCom 2013, Budapest, Hungary, pp 167–172

23.

Gnjatović M, Delić V (2014) Cognitively-inspired representational approach to meaning in machine dialogue. Knowl-Based Syst 71:25–33CrossRef

24.

Gnjatović M, Janev M, Delić V (2012) Focus tree: modeling attentional information in task-oriented human-machine interaction. Appl Intell 37(3):305–320CrossRef

25.

Grosz B, Sidner C (1986) Attention, intentions, and the structure of discourse. Comput Linguist 12(3):175–204

26.

Hawes N, Wyatt JL, Sridharan M, Jacobsson H, Dearden R, Sloman A, Kruijff G-J (2010) Architecture and representations. In: Christensen HI, Kruijff G-J, Wyatt JL (eds) Cognit Syst. Springer, Berlin, pp 51–93CrossRef

27.

Hermansky H (2006) A Brief description of DIRAC project. In: Proceedings of the euCognition inaugural meeting: the European network for the advancement of artificial cognitive systems, nice, France

28.

Karreman DE, van Dijk EMAG, Evers V (2012) Using the visitor experiences for mapping the possibilities of implementing a robotic guide in outdoor sites. In: Proceedings of the 21st IEEE international symposium on robot and human interactive communication, RO-MAN 2012. France, Paris, pp 1059–1065

29.

Kautz H, Fox D, Etzioni O, Borriello G, Arnstein L (2002) An Overview of the Assisted Cognition Project. In: Proc. of the AAAI (2002) workshop on Automation as Caregiver: The Role of Intelligent Technology in Elder Care. Edmonton, Alberta, Canada, pp 60–65

30.

Kutas M, Federmeier KD (2000) Electrophysiology reveals semantic memory use in language comprehension. Trends Cognit Sci 4(12):463–470CrossRef

31.

Leishman TR, Cook DA (2002) Requirements Risks Can Drown Software Projects. CrossTalk: The Journal of Defense Software Engineering (April 2002), pp 4–8

32.

MacLeod CM (2007) The concept of inhibition in cognition. In: Gorfein DS, MacLeod CM (eds) Inhibition in cognition. American Psychological Association, Washington, pp 3–23CrossRef

33.

Maheswaran R, Tambe M, Varakantham P, Myers K (2004) Adjustable autonomy challenges in personal assistant agents: a position paper. In: Nickles M, Rovatsos M, Weiss G (eds) Agents and computational autonomy. Lecture notes in computer science, vol 2969. Springer, Berlin, pp 187–194

34.

Reithinger N, Gebhard P, Löckelt M, Ndiaye A, Pfleger N, Klesen M (2006) VirtualHuman—dialogic and emotional interaction with virtual characters. In: Proceedings of the eighth international conference on multimodal interfaces, (ICMI, 2006), Banff, Canada

35.

Rickheit G, Wachsmuth I (1996) Collaborative research centre situated artificial communicators at the University of Bielefeld, Germany. In: Mc Kevitt P (ed) Integration of natural language and vision processing, Springer, Netherlands, pp 165–170

36.

Roulet E (1992) On the structure of conversation as negotiation. In: Parret H, Verschueren J (eds) (On) Searle on conversation. John Benjamins Publishing Company, Amsterdam, pp 91–99CrossRef

37.

Saffran JR (2003) Statistical language learning: mechanisms and constraints. Curr Direct Psychol Sci 12(4):110–114CrossRef

38.

Schegloff EA (1968) Sequencing in conversational openings. Am Anthropol 70:1075–1095CrossRef

39.

Searle J (1992) Conversation. In: Parret H, Verschueren J (eds) (On) Searle on conversation. John Benjamins Publishing Company, Amsterdam, pp 7–29CrossRef

40.

Searle J (2002) Consciousness. Consciousness and language. Cambridge University Press, Cambridge

41.

Searle J (2002) The problem of consciousness. Consciousness and language. Cambridge University Press, Cambridge

42.

Siekmann J, Crocker MW (2010) Resource-Adaptive Cognitive Processes. In: Crocker MW, Siekmann J (eds) Resource-adaptive cognitive processes. Springer-Verlag, Berlin Heidelberg, pp 1–10CrossRef

43.

Sinclair J (2005) Corpus and text—basic principles. In: Wynne M (ed) Developing linguistic corpora: a guide to good practice. Oxbow Books, Oxford, pp 1–16

44.

Tognini-Bonelli E (2001) Corpus linguistics at work. John Benjamins, AmsterdamCrossRef

45.

Tomasello M (2003) Constructing a Language: A Usage-Based Theory of Language Acquisition. Harvard University Press, Cambridge

46.

Turkle S (2011) Alone together: why we expect more from technology and less from each other. Basic Books, New York

47.

Vergados D, Alevizos A, Mariolis A, Caragiozidis M (2008) Intelligent Services for Assisting Independent Living of Elderly People at Home. In: Proceedings of the international ACM conference on pervasive technologies related to assistive environments (PETRA’08), Athens, Greece, 79:1–4

48.

Wahlster W (2003) SmartKom: Symmetric multimodality in an adaptive and reusable dialogue shell. In: Krahl R, Günther D (eds) Proceedings of the human computer interaction status conference 2003, Berlin, Germany, pp 47–62

49.

Waibel A, Steusloff H, Stiefelhagen R, Watson K (2009) Computers in the human interaction loop. In: Waibel A, Stiefelhagen R (eds) Computers in the human interaction loop. Springer, London, pp 3–6CrossRef

50.

Wendemuth A, Biundo S (2012) A companion technology for cognitive technical systems. In: Esposito A, Esposito AM, Vinciarelli A, Hoffmann R, Müller VC (eds) Cognitive behavioural systems, LNCS 7403. Springer, Berlin, pp 89–103CrossRef

51.

Wendemuth A, Braun J, Michaelis B, Ohl F, Rösner D, Scheich H, Warnemünde R (2008) Neurobiologically inspired, multimodal intention recognition for technical communication systems (NIMITEK). In: Proceedings of the 4th IEEE tutorial and research workshop on perception and interactive technologies for speech-based systems, PIT 2008, Kloster Irsee, Germany, pp 141–144

52.

Wilks Y (2007) Is there progress on talking sensibly to machines? Science 318(5852):927–928CrossRef

53.

Wilks Y (2010) Introducing artificial companions. In: Wilks Y (ed) Close engagements with artificial companions. Key social, psychological, ethical and design issues. John Benjamins: Amsterdam, pp 11–20

54.

Winkler I, Denham SL, Nelken I (2009) Modeling the auditory scene: predictive regularity representations and perceptual objects. Trends Cognit Sci 13(12):532–540CrossRef

55.

Ziemke T (2008) On the role of emotion in biological and robotic autonomy. BioSystems 91:401–408CrossRef

Titel: Toward Conscious-Like Conversational Agents
verfasst von: Milan Gnjatović
Branislav Borovac
Verlag: Springer International Publishing
Buch: Toward Robotic Socially Believable Behaving Systems - Volume II
Print ISBN: 978-3-319-31052-7

Electronic ISBN: 978-3-319-31053-4

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-31053-4_4

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