Are Robots Autistic?

International Journal of Synthetic Emotions ◽

10.4018/jse.2010070104 ◽

2010 ◽

Vol 1 (2) ◽

pp. 53-60

Author(s):

Neha Khetrapal

Keyword(s):

Cognitive Science ◽

Emotional Processing ◽

Cognitive Robotics ◽

Integration Of Disciplines

This paper discusses the implications of the embodied approach for understanding emotional processing in autism and the consequent application of this approach for robotics. In this pursuit, author contrasts the embodied approach with the traditional amodal approach in cognitive science and highlights the gaps in understanding. Other important issues on intentionality, intelligence and autonomy are also raised. The paper also advocates a better integration of disciplines for advancing the understanding of emotional processing in autism and deploying cognitive robotics for the purpose of developing the embodied approach further.

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Building and Understanding the Minimal Self

Frontiers in Psychology ◽

10.3389/fpsyg.2021.716982 ◽

2021 ◽

Vol 12 ◽

Author(s):

Valentin Forch ◽

Fred H. Hamker

Keyword(s):

Cognitive Science ◽

Cognitive Robotics ◽

Levels Of Analysis ◽

Developmental Robotics ◽

Embodied Learning ◽

Human Infants ◽

Minimal Self ◽

Learning Machines ◽

The One ◽

Different Levels

Within the methodologically diverse interdisciplinary research on the minimal self, we identify two movements with seemingly disparate research agendas – cognitive science and cognitive (developmental) robotics. Cognitive science, on the one hand, devises rather abstract models which can predict and explain human experimental data related to the minimal self. Incorporating the established models of cognitive science and ideas from artificial intelligence, cognitive robotics, on the other hand, aims to build embodied learning machines capable of developing a self “from scratch” similar to human infants. The epistemic promise of the latter approach is that, at some point, robotic models can serve as a testbed for directly investigating the mechanisms that lead to the emergence of the minimal self. While both approaches can be productive for creating causal mechanistic models of the minimal self, we argue that building a minimal self is different from understanding the human minimal self. Thus, one should be cautious when drawing conclusions about the human minimal self based on robotic model implementations and vice versa. We further point out that incorporating constraints arising from different levels of analysis will be crucial for creating models that can predict, generate, and causally explain behavior in the real world.

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Cognitive Robotics. Analogy between cognitive science and robotics: Robots as a tool for hypothesis construction.

Journal of the Robotics Society of Japan ◽

10.7210/jrsj.17.11 ◽

1999 ◽

Vol 17 (1) ◽

pp. 11-15

Author(s):

Kazuo Hiraki

Keyword(s):

Cognitive Science ◽

Cognitive Robotics ◽

And Robotics

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Language as a mental travel guide

Behavioral and Brain Sciences ◽

10.1017/s0140525x19003182 ◽

2020 ◽

Vol 43 ◽

Author(s):

Charles P. Davis ◽

Gerry T. M. Altmann ◽

Eiling Yee

Keyword(s):

Cognitive Science ◽

Human Cognition ◽

Travel Guide

Abstract Gilead et al.'s approach to human cognition places abstraction and prediction at the heart of “mental travel” under a “representational diversity” perspective that embraces foundational concepts in cognitive science. But, it gives insufficient credit to the possibility that the process of abstraction produces a gradient, and underestimates the importance of a highly influential domain in predictive cognition: language, and related, the emergence of experientially based structure through time.

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Cognitive Science and Ancient Israelite Religion

10.1017/9781108767972 ◽

2020 ◽

Author(s):

Brett E. Maiden

Keyword(s):

Cognitive Science ◽

Israelite Religion

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Embodiment and Cognitive Science

10.1017/cbo9780511805844 ◽

2005 ◽

Cited By ~ 276

Author(s):

Raymond W. Gibbs, Jr

Keyword(s):

Cognitive Science

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Application of Information Introduced to Dynamic Message Processing and Enjoyment

Journal of Media Psychology Theories Methods and Applications ◽

10.1027/1864-1105/a000195 ◽

2018 ◽

Vol 30 (4) ◽

pp. 196-206 ◽

Cited By ~ 4

Author(s):

Byungho Park ◽

Rachel L. Bailey

Keyword(s):

Resource Allocation ◽

Recognition Memory ◽

Emotional Processing ◽

Orienting Response ◽

Structural Features ◽

Cognitive Resources ◽

Coding System ◽

Message Complexity ◽

Cognitive Resource ◽

Cognitive Overload

Abstract. In an effort to quantify message complexity in such a way that predictions regarding the moment-to-moment cognitive and emotional processing of viewers would be made, Lang and her colleagues devised the coding system information introduced (or ii). This coding system quantifies the number of structural features that are known to consume cognitive resources and considers it in combination with the number of camera changes (cc) in the video, which supply additional cognitive resources owing to their elicitation of an orienting response. This study further validates ii using psychophysiological responses that index cognitive resource allocation and recognition memory. We also pose two novel hypotheses regarding the confluence of controlled and automatic processing and the effect of cognitive overload on enjoyment of messages. Thirty television advertisements were selected from a pool of 172 (all 20 s in length) based on their ii/cc ratio and ratings for their arousing content. Heart rate change over time showed significant deceleration (indicative of increased cognitive resource allocation) for messages with greater ii/cc ratios. Further, recognition memory worsened as ii/cc increased. It was also found that message complexity increases both automatic and controlled allocations to processing, and that the most complex messages may have created a state of cognitive overload, which was received as enjoyable by the participants in this television context.

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