Microslip as a Simulated Artificial Mind

Ogai, Yuta; Ikegami, Takashi

doi:10.1177/1059712308089182

Cited by 12 publications

(5 citation statements)

References 15 publications

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“…It should be emphasized that the autonomy observed in the behaviors of these coupled agent are immanent because it self-manifests as a result of the evolutionary pressure that poses conflictive requirements for the agents to establish complementary actions. The micro-slip phenomenon modeled by Ogai and Ikegami (2008), again using an evolutionary scheme, might be explainable in the similar way. When agents are required to conduct two alternative actions with equal probabilities, the evolved behaviors of the agents show wandering trajectories between the two possible actions.…”

Section: Autonomy Of Selvesmentioning

confidence: 88%

Autonomy of Self at Criticality: The Perspective from Synthetic Neuro-Robotics

Tani

2009

Adaptive Behavior

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This article investigates the phenomenological aspects of selves in relation to autonomous agents. Through a review of a series of neuro-robotics experiments conducted by the author's group, we elucidate three different aspects of selves, namely, minimal selves, social selves and self-referential selves. Upon integrative discussions of these selves, it is suggested that genuine constructs of "authentic" selves may appear with criticality, which is self-organized in the iterative interplay between regression of past experience and lookahead prediction of future outcomes. It is concluded that genuine autonomy of agents likely originates from genuine autonomy of authentic selves.

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Section: Autonomy Of Selvesmentioning

confidence: 88%

Autonomy of Self at Criticality: The Perspective from Synthetic Neuro-Robotics

Tani

2009

Adaptive Behavior

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“…So in the case of task 3, we can determine the autonomous choice of the agent. A similar setting can be found in [14].…”

Section: Genetic Algorithmmentioning

confidence: 90%

Dynamics Underneath Symbols: A Case Study in Autonomous Agents

Nakajima¹

2014

Preprint

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Our cognition is structuring the informational layer, consisting of perception, anticipation, and action, and it should also be sustained on a physical basis. In this paper, we aim to explore the relationship between the informational layer and the physical layer from a dynamical systems point of view. As an example, the fluctuation of choice is investigated by using a simulated agent. By setting a T-maze, the agent should choose one arm of the maze if a corresponding token is presented. We prepared two types of tokens, corresponding to the left and right arm of the maze. After training the network of the agent to successfully choose the corresponding arm, we presented two tokens simultaneously to the agent and observed its behavior. As a result, we found several behaviors, which are difficult to speculate on from a case in which only a single token is presented to the agent. Detailed analyses and the implications of the model are discussed.

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“…In ecological psychology, hesitation belongs to a type of micro movements called microslip -nonverbal stutters during execution of low level action primitives -and has only recently gained interest from Manuscript [3]. In humans, hesitations manifest themselves as abrupt pauses or jerky motions of the limb or the whole body as a reaction to an unexpectedly encountered conflict.…”

Section: Introductionmentioning

confidence: 99%

Did you see it hesitate? - Empirically grounded design of hesitation trajectories for collaborative robots

Moon

Parker

Croft

2011

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems

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Unwanted conflicts are inevitable between collaborating agents that share spaces and resources. Motivated by the use of nonverbal communications as a conflict resolution mechanism by humans, this study investigates the communicative capabilities reflected in the trajectory characteristics of hesitation gestures during human-robot collaboration. Hesitation gestures and non-hesitation human arm motions were recorded from a series of reach-and-retract tasks and embodied on a 6-DOF robot arm. A total of 86 survey respondents watched and scored recordings of these motions according to whether they recognized hesitation gestures as exhibited by both the human and the robot. Using the survey's statistical evidence indicating that hesitation trajectories embodied in an articulated robot arm can be recognized by human observers, we identified trajectory characteristics of hesitation gestures. The contribution of our work is an empirically grounded robot trajectory specification that provides communicative cues for conflict resolution during collaborative reaching scenarios.

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Microslip as a Simulated Artificial Mind

Cited by 12 publications

References 15 publications

Autonomy of Self at Criticality: The Perspective from Synthetic Neuro-Robotics

Autonomy of Self at Criticality: The Perspective from Synthetic Neuro-Robotics

Dynamics Underneath Symbols: A Case Study in Autonomous Agents

Did you see it hesitate? - Empirically grounded design of hesitation trajectories for collaborative robots

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