Neurobiological Plausibility as Part of Criteria for Highly Realistic Cognitive Architectures

Abstract In this paper we analyze neurobiologically inspired approaches to implement emotions in computational systems. We propose the criteria for realistic cognitive architectures and analyze current architectures using aforementioned criteria. The analysis indicated several interesting architectures H-CogAff, BICA that inspired us to start the development of our own based on biological realistic approaches.

[1]  M. Minsky.  The Society of Mind , 1986 .

[2]  J. Gregory Trafton,et al.  An Account of Associative Learning in Memory Recall , 2015, CogSci.

[3]  Max Talanov,et al.  Towards Anthropo-Inspired Computational Systems: The P3 Model , 2016, KES-AMSTA.

[4]  Marc D. Lewis.  Bridging emotion theory and neurobiology through dynamic systems modeling , 2005, Behavioral and Brain Sciences.

[5]  H. Lövheim.  A new three-dimensional model for emotions and monoamine neurotransmitters. , 2012, Medical hypotheses.

[6]  Darryl N. Davis,et al.  Linking perception and action through motivation and affect , 2008, J. Exp. Theor. Artif. Intell..

[7]  Max Talanov,et al.  Computational Emotional Thinking and Virtual Neurotransmitters , 2014, Int. J. Synth. Emot..

[8]  M. Marinelli.  Dopamine , 2018, Reactions Weekly.

[9]  John R. Anderson,et al.  Dopamine, Learning, and Production Rules: The Basal Ganglia and the Flexible Control of Information Transfer in the Brain , 2009, AAAI Fall Symposium: Biologically Inspired Cognitive Architectures.

[10]  K. Scherer,et al.  A blueprint for affective computing: A sourcebook , 2010 .

[11]  Etienne B. Roesch,et al.  A Blueprint for Affective Computing: A Sourcebook and Manual , 2010 .

[12]  Stacy Marsella,et al.  The Architectural Role of Emotion in Cognitive Systems , 2007, Integrated Models of Cognitive Systems.

[13]  Marc Spraragen,et al.  Computational Models of Emotion and Cognition , 2012 .

[14]  David Reitter.  Accountable Modeling in ACT-UP , a Scalable , Rapid-Prototyping ACT-R Implementation , 2010 .

[15]  John R. Anderson,et al.  Can Neural Imaging Investigate Learning in an Educational Task , 2009 .

[16]  Tom Ziemke,et al.  Exploring the relationship of reward and punishment in reinforcement learning , 2013, 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

[17]  Stacy Marsella,et al.  Evaluating a Computational Model of Emotion , 2005, Autonomous Agents and Multi-Agent Systems.

[18]  Darryl N. Davis,et al.  Computational architectures for intelligence and motivation , 2002, Proceedings of the IEEE Internatinal Symposium on Intelligent Control.

[19]  J. Fellous,et al.  Emotions: from brain to robot , 2004, Trends in Cognitive Sciences.

[20]  Max Talanov,et al.  Thinking Lifecycle as an Implementation of Machine Understanding in Software Maintenance Automation Domain , 2015, KES-AMSTA.

[21]  Jennifer Healey,et al.  Toward Machine Emotional Intelligence: Analysis of Affective Physiological State , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  P. Petta,et al.  Computational models of emotion , 2010 .