Executive Attentional Control in Autonomous Robotic Agents

Garforth, Jason; Meehan, Anthony; McHale, Sue

doi:10.1142/9789812811042_0064

Cited by 1 publication

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“…This architecture extends the models described above, and our own previous models [28] [29], both in terms of scale of integration and by introducing a degree of autonomous operation and an attention-based learning mechanism that leads to increased task automaticity and reduced attentional burden.…”

Section: Functional Neural Architecturementioning

confidence: 69%

Executive attention, task selection and attention-based learning in a neurally controlled simulated robot

2006

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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 of attention. Recognising that attention-based learning, mediated by the limbic system, and the hippocampus in particular, plays an important role in adaptive learning, we extend the Norman and Shallice model, introducing an intrinsic, attention-based learning mechanism that enhances the automaticity of willed actions and reduces future need for attentional effort. These enhanced features support a new level of attentional autonomy in the operation of the simulated robot. Some properties of the model are explored using lesion studies, leading to the identification of a correspondence between the behavioural pathologies of the simulated robot and those seen in human patients suffering dysfunction of executive attention. We discuss briefly the question of how executive attention may have arisen due to selective pressure. LaBerge identifies three characteristics traditionally associated with executive attention and considers that they should be evident in any model [36]. Grounding these three properties in the domain of action selection, we have: Keywords1. selection of a willed action over a more salient, automatically selected, action. Here, the notion of salience is intimately connected to environmentally derived stimuli in the degree to which they accord with the relevance of contending actions. However, it may also derive from internal/innate drives. For example, the salience of feeding behaviour is determined both by the availability of food in the environment and by a sense of hunger/satiation. Willed action selection involves the application of an internally derived attentional signal which results in the (more likely) performance of a less salient act in preference to a more salient act. The attentional effort needed to will one familiar action in place of another is usually intermittent, or even momentary. The willing of wholly unfamiliar actions may require more persistent attention.2. priming of an anticipated future action. Priming, too, is associated with an internally derived attentional signal. On this occasion, the potentiation does not result in the immediate expression of the behaviour, rather it enhances the salience of the behaviour so that, when the appropriate anticipated circumstances arise, there is a greater likelihood that the anticipated task will be selected. Priming is associated with enhanced speed of task switching.3. use of memory for sustained task focus. Memory is particularly important when resumption of a suspended task requires recall of some past state or stimulus...

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Section: Functional Neural Architecturementioning

confidence: 69%