A cognitive architecture for inner speech

Abstract A cognitive architecture for inner speech is presented. It is based on the Standard Model of Mind, integrated with modules for self-talking. Briefly, the working memory of the proposed architecture includes the phonological loop as a component which manages the exchanging information between the phonological store and the articulatory control system. The inner dialogue is modeled as a loop where the phonological store hears the inner voice produced by the hidden articulator process. A central executive module drives the whole system, and contributes to the generation of conscious thoughts by retrieving information from long-term memory. The surface form of thoughts thus emerges by the phonological loop. Once a conscious thought is elicited by inner speech, the perception of new context takes place and then repeating the cognitive loop. A preliminary formalization of some of the described processes by event calculus, and early results of their implementation on the humanoid robot Pepper by SoftBank Robotics are discussed.

[1]  Ben Alderson-Day,et al.  Inner Speech: Development, Cognitive Functions, Phenomenology, and Neurobiology , 2015, Psychological bulletin.

[2]  Anthony F. Morse,et al.  Scaffolding Cognition with Words , 2005 .

[3]  M. D’Esposito Working memory. , 2008, Handbook of clinical neurology.

[4]  Valeria Seidita,et al.  Inner Speech for a Self-Conscious Robot , 2019, AAAI Spring Symposium: Towards Conscious AI Systems.

[5]  A. Morin,et al.  Possible links between self-awareness and inner speech: Theoretical background, underlying mechanisms, and empirical evidence , 2004 .

[6]  Michael Wooldridge,et al.  Artificial Intelligence Today , 1999, Lecture Notes in Computer Science.

[7]  Irene Macaluso,et al.  The perception loop in CiceRobot, a museum guide robot , 2009, Neurocomputing.

[8]  S. Engel Thought and Language , 1964 .

[9]  John E. Laird,et al.  A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics , 2017, AI Mag..

[10]  R. Jackendoff How language helps us think , 1996 .

[11]  Luc Steels,et al.  Language re-entrance and the 'inner voice'. , 2003 .

[12]  Peter Carruthers,et al.  Conscious thinking : Language or elimination? , 1998 .

[13]  Antonio Chella,et al.  The inner speech of the IDyOT: Comment on "Creativity, information, and consciousness: The information dynamics of thinking" by Geraint A. Wiggins. , 2019, Physics of life reviews.

[14]  Murray Shanahan,et al.  The Event Calculus Explained , 1999, Artificial Intelligence Today.