EVOLVABLE ARCHITECTURES FOR HUMAN-LIKE MINDS

There are many approaches to the study of mind, and much ambiguity in the use of words like ‘emotion’ and ‘consciousness’. This paper adopts the design stance and attempts to understand human minds as information processing virtual machines with a complex multi-level architecture whose components evolved at different times and perform different sorts of functions. A multi-disciplinary perspective combining ideas from engineering as well as several sciences helps to constrain the proposed architecture. Variations in the architecture should accommodate infants and adults, normal and pathological cases, and also animals. An analysis of states and processes that each architecture supports provides a new framework for systematically generating concepts of various kinds of mental phenomena. This framework can be used to refine and extend familiar concepts of mind, providing a new, richer, more precise theory-based collection of concepts. Within this unifying framework we hope to explain the diversity of definitions and theories and move towards deeper explanatory theories and more powerful and realistic artificial models, for use in many applications, including education and entertainment.

[1]  Nils J. Nilsson,et al.  Artificial Intelligence: A New Synthesis , 1997 .

[2]  Aaron Sloman,et al.  Why Robots Will Have Emotions , 1981, IJCAI.

[3]  W. Arthur.  The Origins of Life: From the Birth of Life to the Origin of Language , 1999, Heredity.

[4]  A. Sloman,et al.  A Study of Motive Processing and Attention , 1993 .

[5]  Aaron Sloman,et al.  Damasio, Descartes, alarms and meta-management , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[6]  G. Reeke.  The society of mind , 1991 .

[7]  Aaron Sloman,et al.  What Sort of Control System Is Able to Have a Personality? , 1997, Creating Personalities for Synthetic Actors.

[8]  Sean A. Spence,et al.  Descartes' Error: Emotion, Reason and the Human Brain , 1995 .

[9]  Aaron Sloman,et al.  Building cognitively rich agents using the SIM_Agent toolkit , 1999, CACM.

[10]  J. Gibson.  The Ecological Approach to Visual Perception , 1979 .

[11]  Aaron Slomon,et al.  On designing a visual system# (towards a Gibsonian computational model of vision) , 1990 .

[12]  Tsutomu Endo,et al.  STORY GENERATION BASED ON DYNAMICS OF THE MIND , 1992, Comput. Intell..

[13]  Luc Beaudoin.  Goal Processing in Autonomous Agents , 1994 .

[14]  A. Damasio.  Descartes’ Error. Emotion, Reason and the Human Brain. New York (Grosset/Putnam) 1994. , 1994 .

[15]  W. Köhler.  The Mentality of Apes. , 2018, Nature.

[16]  R. A. Brooks,et al.  Intelligence without Representation , 1991, Artif. Intell..

[17]  J. Stainer,et al.  The Emotions , 1922, Nature.

[18]  N. Wetherick.  The Computer and the Mind: An Introduction to Cognitive Science. By Philip N. Johnson‐Laird. Pp. 444. (Harvard University Press, 1988.) £23.50. (Also available from Fontana (1988), £6.95.) , 1988 .

[19]  E. Vesterinen,et al.  Affective Computing , 2009, Encyclopedia of Biometrics.

[20]  H. Simon,et al.  Motivational and emotional controls of cognition. , 1967, Psychological review.

[21]  Aaron Sloman.  On designing a visual system (Towards a Gibsonian computational model of vision) , 1989, J. Exp. Theor. Artif. Intell..

[22]  J. Eccles.  The emotional brain. , 1980, Bulletin et memoires de l'Academie royale de medecine de Belgique.

[23]  M. Goodale,et al.  Separate visual pathways for perception and action , 1992, Trends in Neurosciences.

[24]  Aaron Sloman,et al.  Architectural requirements for human-like agents both natural and artificial , 1998 .

[25]  G. Humphreys,et al.  Explorations in Design Space , 1994 .

[26]  B. Baars.  A cognitive theory of consciousness , 1988 .

[27]  P. Petta,et al.  Creating Personalities for Synthetic Actors: Towards Autonomous Personality Agents , 1997 .

[28]  Aaron Sloman,et al.  7. Architectural Requirements for Human-Like Agents Both Natural and Artificial: What sorts of machines can love? , 2000 .

[29]  A. Sloman,et al.  Towards a Design-Based Analysis of Emotional Episodes , 1996 .

[30]  Riccardo Poli,et al.  SIM_AGENT: A Toolkit for Exploring Agent Designs , 1995, ATAL.