Motivations , Values and Emotions : Three Sides of the same Coin

This position paper speaks to the interrelationships between the three concepts of motivations, values, and emotion. Motivations prime actions, values serve to choose between motivations, emotions provide a common currency for values, and emotions implement motivations. While conceptually distinct, the three are so pragmatically intertwined as to differ primarily from our taking different points of view. To make these points more transparent, we briefly describe the three in the context a cognitive architecture, the LIDA model, for software agents and robots that models human cognition, including a developmental period. We also compare the LIDA model with other models of cognition, some involving learning and emotions. Finally, we conclude that artificial emotions will prove most valuable as implementers of motivations in situations requiring learning and development.

[1]  B. Baars,et al.  How conscious experience and working memory interact , 2003, Trends in Cognitive Sciences.

[2]  Arthur C. Graesser,et al.  Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents , 1996, ATAL.

[3]  D. Moffat,et al.  Analysis of a computer model of emotions , 1993 .

[4]  Feelings and Emotions as Motivators and Learning Facilitators , 2004 .

[5]  B. Baars The conscious access hypothesis: origins and recent evidence , 2002, Trends in Cognitive Sciences.

[6]  Stacy Marsella,et al.  A step toward irrationality: using emotion to change belief , 2002, AAMAS '02.

[7]  Sidney K. D'Mello,et al.  Encoding and Retrieval Efficiency of Episodic Data in a Modified Sparse Distributed Memory System , 2005 .

[8]  James L. McGaugh,et al.  Memory and Emotion: The Making of Lasting Memories , 2003 .

[9]  A. Damasio The feeling of what happens , 2001 .

[10]  Rosalind W. Picard,et al.  Affective Cognitive Learning and Decision Making : The Role of Emotions , 2006 .

[11]  C. Lebiere,et al.  The Atomic Components of Thought , 1998 .

[12]  Stan Franklin,et al.  Consciousness and conceptual learning in a socially situated agent , 2000 .

[13]  Lola Cañamero,et al.  Hormonal Modulation of Perception in Motivation-Based Action Selection Architectures , 2005 .

[14]  John V. Jackson Idea for a mind , 1987, SGAR.

[15]  B. Baars,et al.  The Role of Consciousness in Memory , 2005 .

[16]  S. Franklin,et al.  An Architecture for Emotion , 1998 .

[17]  H. Penny Nii,et al.  Blackboard Systems, Part One: The Blackboard Model of Problem Solving and the Evolution of Blackboard Architectures , 1986, AI Mag..

[18]  Stan Franklin,et al.  Sparse distributed memory for ‘conscious’ software agents , 2003, Cognitive Systems Research.

[19]  Lee McCauley,et al.  A large-scale multi-agent system for navy personnel distribution , 2002, Connect. Sci..

[20]  Melanie Mitchell,et al.  The Copycat project: a model of mental fluidity and analogy-making , 1995 .

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

[22]  Aaron Sloman,et al.  What Sort of Architecture is Required for a Human-Like Agent? , 1999 .

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

[24]  J. Panksepp Affective consciousness: Core emotional feelings in animals and humans , 2005, Consciousness and Cognition.

[25]  K. A. Ericsson,et al.  Long-term working memory. , 1995, Psychological review.

[26]  Stan Franklin,et al.  Conscious software: a computational view of mind , 2002 .

[27]  Helder Coelho,et al.  Decisions Based upon Multiple Values: The BVG Agent Architecture , 1999, EPIA.

[28]  U. Alon,et al.  Robustness in bacterial chemotaxis , 2022 .

[29]  Arthur C. Graesser,et al.  Natural language sensing for autonomous agents , 1998, Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174).

[30]  Victor S. Johnston Why We Feel: The Science Of Human Emotions , 1999 .

[31]  Arpad Kelemen,et al.  A Comparative Study of Different Machine Learning Approaches for Decision Making , 2005 .

[32]  Stan Franklin,et al.  An action selection mechanism for "conscious" software agents , 2002 .

[33]  Pat Langley,et al.  A design for the ICARUS architecture , 1991, SGAR.

[34]  Stan Franklin,et al.  Deliberation and Voluntary Action in "Conscious" Software Agents , 2000 .

[35]  Lee McCauley,et al.  An Emotion-Based "Conscious" Software Agent Architecture , 1999, IWAI.

[36]  Stan Franklin,et al.  Modeling Consciousness and Cognition in Software Agents , 2000 .

[37]  Mattias Wahde A method for behavioural organization for autonomous robots based on evolutionary optimization of utility functions , 2003 .

[38]  Penny Nii The blackboard model of problem solving , 1986 .

[39]  T. Kellam,et al.  Artificial Minds , 1996, Inf. Process. Manag..

[40]  P. Maes How to Do the Right Thing , 1989 .

[41]  Stan Franklin,et al.  Automating human information agents , 2002 .

[42]  T. Dalgleish,et al.  Handbook of cognition and emotion , 1999 .

[43]  S. Reiss A sensitivity theory of end motivation: implications for mental retardation , 2001 .

[44]  Richard Reviewer-Granger Unified Theories of Cognition , 1991, Journal of Cognitive Neuroscience.

[45]  A. Baddeley The episodic buffer: a new component of working memory? , 2000, Trends in Cognitive Sciences.

[46]  Allen Newell,et al.  SOAR: An Architecture for General Intelligence , 1987, Artif. Intell..

[47]  Gary L. Drescher,et al.  Made-up minds - a constructivist approach to artificial intelligence , 1991 .

[48]  M. Shanahan,et al.  Consciousness, emotion, and imagination a brain-inspired architecture for cognitive robotics , 2005 .

[49]  Pentti Kanerva,et al.  Sparse Distributed Memory , 1988 .