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Relevant bibliographies by topics / Imitative Behavior

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Journal articles

Academic literature on the topic 'Imitative Behavior'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 January 2023

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Journal articles on the topic "Imitative Behavior"

1

Possajennikov, Alex. "Imitation Dynamic and Nash Equilibrium in Cournot Oligopoly with Capacities." International Game Theory Review 05, no. 03 (2003): 291–305. http://dx.doi.org/10.1142/s0219198903001069.

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The paper considers an imitation dynamic in the context of Cournot oligopoly. The pure "imitate-the-best" behavior can lead to an outcome inconsistent with Cournot-Nash equilibrium. The paper extends purely imitative behavior to imperfect imitation in the two-stage model with capacities and prices. This variation in the imitative behavior improves efficiency and makes the Cournot-Nash equilibrium a possible outcome of the dynamic imitation process.

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2

Koski, Lisa, Marco Iacoboni, Marie-Charlotte Dubeau, Roger P. Woods, and John C. Mazziotta. "Modulation of Cortical Activity During Different Imitative Behaviors." Journal of Neurophysiology 89, no. 1 (2003): 460–71. http://dx.doi.org/10.1152/jn.00248.2002.

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Imitation is a basic form of motor learning during development. We have a preference to imitate the actions of others as if looking in a mirror (specular imitation: i.e., when the actor moves the left hand, the imitator moves the right hand) rather than with the anatomically congruent hand (anatomic imitation: i.e., actor and imitator both moving the right hand). We hypothesized that this preference reflects changes in activity in previously described frontoparietal cortical areas involved in directly matching observed and executed actions (mirror neuron areas). We used functional magnetic res

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3

Klapper, André, Richard Ramsey, Daniël Wigboldus, and Emily S. Cross. "The Control of Automatic Imitation Based on Bottom–Up and Top–Down Cues to Animacy: Insights from Brain and Behavior." Journal of Cognitive Neuroscience 26, no. 11 (2014): 2503–13. http://dx.doi.org/10.1162/jocn_a_00651.

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Humans automatically imitate other people's actions during social interactions, building rapport and social closeness in the process. Although the behavioral consequences and neural correlates of imitation have been studied extensively, little is known about the neural mechanisms that control imitative tendencies. For example, the degree to which an agent is perceived as human-like influences automatic imitation, but it is not known how perception of animacy influences brain circuits that control imitation. In the current fMRI study, we examined how the perception and belief of animacy influen

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4

Wyrwicka, Wanda. "Imitative behavior." Pavlovian Journal of Biological Science 23, no. 3 (1988): 125–31. http://dx.doi.org/10.1007/bf02701288.

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5

Gattis, Merideth, Harold Bekkering, and Andreas Wohlschläger. "When actions are carved at the joints." Behavioral and Brain Sciences 21, no. 5 (1998): 691–92. http://dx.doi.org/10.1017/s0140525x98301740.

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We focus on Byrne & Russon's argument that program-level imitation is driven by hierarchically organized goals, and the related claim that to establish whether observed behavior is evidence of program-level imitation, empirical studies of imitation must use multi-stage actions as imitative tasks. We agree that goals play an indispensable role in the generation of action and imitative behavior but argue that multi-goal tasks, not only multi-stage tasks, reveal program-level imitation.

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6

Breazeal, Cynthia, Daphna Buchsbaum, Jesse Gray, David Gatenby, and Bruce Blumberg. "Learning From and About Others: Towards Using Imitation to Bootstrap the Social Understanding of Others by Robots." Artificial Life 11, no. 1-2 (2005): 31–62. http://dx.doi.org/10.1162/1064546053278955.

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We want to build robots capable of rich social interactions with humans, including natural communication and cooperation. This work explores how imitation as a social learning and teaching process may be applied to building socially intelligent robots, and summarizes our progress toward building a robot capable of learning how to imitate facial expressions from simple imitative games played with a human, using biologically inspired mechanisms. It is possible for the robot to bootstrap from this imitative ability to infer the affective reaction of the human with whom it interacts and then use t

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7

Gellén, Kata, and David Buttelmann. "Fourteen-Month-Olds Adapt Their Imitative Behavior in Light of a Model’s Constraints." Child Development Research 2017 (January 9, 2017): 1–11. http://dx.doi.org/10.1155/2017/8080649.

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Rather than reenacting every action they observe, preverbal infants adapt their imitative behavior. Although previous studies have revealed the capability of preverbal infants to imitate selectively, the question about the adaptability of this behavior on an individual level did not attract considerable scientific attention until now. In the current study, we investigated whether 14-month-old infants flexibly alternate their imitative response in accordance with a model’s changing physical constraints in a body-part imitation paradigm. Participants were presented with two novel actions whereby

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8

Bourkha, Bilal, and Younes Belfellah. "Inter-organizational imitation: Definition and typology." Accounting and Financial Control 1, no. 1 (2017): 23–31. http://dx.doi.org/10.21511/afc.01(1).2017.03.

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The sustained idea of this article is that the concept of imitation has not been sufficiently developed in the field of strategic management and has often been confused with the notion of mimicry. Therefore, the objective of this research is to emphasize the distinction between different types of imitation unlike a lot of research on companies imitative behavior focused on one type as the perfect imitation. This will clarify ambiguities in the literature on imitation, and show that the mobilization of neo institutional theory is not sufficient to explain all the imitative behavior of organizat

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9

Ko, Kwang-Eun, and Kwee-Bo Sim. "Imitative Neural Mechanism-Based Behavior Intention Recognition System in Human–Robot Interaction." International Journal of Humanoid Robotics 11, no. 04 (2014): 1442008. http://dx.doi.org/10.1142/s0219843614420080.

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This paper is concerned with an imitative neural mechanism for recognizing behavior intention in human–robot interaction system. The intention recognition process is inspired by the neural mechanism of the mirror neurons in macaque monkey brain. We try to renovate a standard neural network with parametric biases as a reference model to imitate between sensory-motor data pair. The imitation process is primarily directed toward reproducing the goals of observed actions rather than the exact action trajectories. Several experiments and their results show that the proposed model allows to develop

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10

Morales, Antonio J. "Absolutely expedient imitative behavior." International Journal of Game Theory 31, no. 4 (2003): 475–92. http://dx.doi.org/10.1007/s001820300131.

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