2006
DOI: 10.1016/j.neucom.2005.11.018
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Executive attention, task selection and attention-based learning in a neurally controlled simulated robot

Abstract: We describe the design and implementation of an integrated neural architecture, modelled on human executive attention, which is used to control both automatic (reactive) and willed action selection in a simulated robot. The model, based upon Norman and Shallice's supervisory attention system, incorporates important features of human attentional control: selection of an intended task over a more salient automatic task; priming of future tasks that are anticipated; and appropriate levels of persistence of focus … Show more

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Cited by 9 publications
(8 citation statements)
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References 37 publications
(45 reference statements)
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“…Cognitive control mechanisms have also been proposed within the the Intelligent Soft Arm Control (ISAC) architecture (Kawamura et al, 2008), where attention is mainly deployed to assign priority values to orient the focus of perception. More related to our approach, a neural SAS-based executive system for robot control in a simulated environment is proposed by Garforth et al (2006), where only simple foraging tasks are considered as a proof of concept. In contrast, we are interested in a practical framework that can scale the complexity of real-world robotic collaborative tasks in everyday scenarios.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Cognitive control mechanisms have also been proposed within the the Intelligent Soft Arm Control (ISAC) architecture (Kawamura et al, 2008), where attention is mainly deployed to assign priority values to orient the focus of perception. More related to our approach, a neural SAS-based executive system for robot control in a simulated environment is proposed by Garforth et al (2006), where only simple foraging tasks are considered as a proof of concept. In contrast, we are interested in a practical framework that can scale the complexity of real-world robotic collaborative tasks in everyday scenarios.…”
Section: Related Workmentioning
confidence: 99%
“…As far as human–robot collaboration is concerned, attention models are usually deployed for visual perception and exploited for implicit nonverbal communication (Breazeal, Kidd, Thomaz, Hoffman, & Berlin, 2005; Muller & Knoll, 2009), joint attention (Scassellati, 1999), anticipation (Hoffman & Breazeal, 2007), perspective taking (Trafton et al., 2005), active perception (Breazeal et al., 2001; Demiris & Khadhouri, 2006), etc. In contrast, we propose attention mechanisms for executive control, which are rarely considered in the robot literature (Broquère et al., 2014; Garforth et al., 2006; Kawamura et al., 2008) and usually not exploited for the orchestration of concurrent structured tasks in real‐world robotics systems.…”
Section: Related Workmentioning
confidence: 99%
“…The NS model has recently been reinvigorated in quantitative form by Garforth et al [16]. Here, key components of the NS scheme have been incorporated into a simulated autonomous robot model that 'forages for food'.…”
Section: Mechanisms and Models: Psychologicalmentioning
confidence: 99%
“…In terms of neural systems, one needs to start by considering what the events might be 3 . Events could range from arrival of an action potential at a synapse (one might start at a lower level, for example with the release of a vesicle from the presynaptic terminal, or the arrival of molecules of neurotransmitter from such a vesicle at a single post-synaptic ion channel), or with the detection of some percept in the auditory or visual cortex, or the execution of a motor command.…”
Section: Introduction: Events In Different Contextsmentioning
confidence: 99%
“…We clearly do have (first-person) mental events, and we believe that these are mediated by action potential/synaptic events: but the relationship between these two is not yet anything like fully elucidated. There are higher-level theories of mental function (such as those of [5] or [3]), but these are largely narrative models 5 rather than precise simulations. For natural environmental systems, the issues are perhaps easier, since we already have a large volume of physics, much of which is about the inter-relationship between events in the physical world.…”
Section: Introduction: Events In Different Contextsmentioning
confidence: 99%