| 1. |
- Lowe, Robert
(författare)
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Habit-Based and Goal-Directed Systems: Knowledge Transfer in Individual and Social Learning
- 2020
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Ingår i: Studies in Applied Philosophy, Epistemology and Rational Ethics book series (SAPERE, volume 52). - : Springer. ; , s. 153-167
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Bokkapitel (refereegranskat)abstract
- The present chapter discusses value-based habitual and goal-directed systems as studied in the animal and human learning literature. It focuses on the means by which these two systems might interact in knowledge transfer, particularly as it applies to social learning. Knowledge is conceived here in terms of types of logic computations as implemented by neural networks. A discussion of dual-process type structures in the brain is provided as well as neural-dynamic implementations thereof and considerations for how a perspective of the brain as carrying out logic computations might be useful for developing the general cognitive capacities of artificial agents.
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| 2. |
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| 3. |
- Lowe, Robert, 1975-, et al.
(författare)
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Predictive regulation in affective and adaptive behaviour : An allostatic-cybernetics perspective
- 2017
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Ingår i: Advanced Research on Biologically Inspired Cognitive Architectures. - Sweden : IGI Global. - 9781522519485 - 9781522519478 - 1522519475 ; , s. 149-176
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- In this chapter, different notions of allostasis (the process of achieving stability through change ) as they apply to adaptive behavior are presented. The authors discuss how notions of allostasis can be usefully applied to Cybernetics-based homeostatic systems. Particular emphasis is placed upon affective states - motivational and emotional - and, above all, the notion of 'predictive' regulation, as distinct from forms of 'reactive' regulation, in homeostatic systems. The authors focus here on Ashby's ultrastability concept that entails behavior change for correcting homeostatic errors (deviations from the healthy range of essential, physiological, variables). The authors consider how the ultrastability concept can be broadened to incorporate allostatic mechanisms and how they may enhance adaptive physiological and behavioral activity. Finally, this chapter references different Cybernetics frameworks that incorporate the notion of allostasis. The article then attempts to untangle how the given perspectives fit into the 'allostatic ultrastable systems' framework postulated.
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| 4. |
- Lowe, Robert, et al.
(författare)
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Predictive Regulation in Affective and Adaptive Behaviour: An Allostatic-Cybernetics Perspective
- 2017
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Ingår i: Advanced Research on Biologically Inspired Cognitive Architectures. A volume in the Advances in Computational Intelligence and Robotics (ACIR) Book Series.. - : IGI Global. ; , s. 148-177
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- In this chapter, different notions of allostasis (the process of achieving stability through change) as they apply to adaptive behavior are presented. The authors discuss how notions of allostasis can be usefully applied to Cybernetics-based homeostatic systems. Particular emphasis is placed upon affective states – motivational and emotional – and, above all, the notion of ‘predictive’ regulation, as distinct from forms of ‘reactive’ regulation, in homeostatic systems. The authors focus here on Ashby’s ultrastability concept that entails behavior change for correcting homeostatic errors (deviations from the healthy range of essential, physiological, variables). The authors consider how the ultrastability concept can be broadened to incorporate allostatic mechanisms and how they may enhance adaptive physiological and behavioral activity. Finally, this chapter references different (Cybernetics-based) theoretical frameworks that incorporate the notion of allostasis. The article then attempts to untangle how the given perspectives fit into the ‘allostatic ultrastable systems’ framework postulated by the authors.
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| 5. |
- Lowe, Robert, et al.
(författare)
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Utilizing Emotions in Autonomous Robots : An Enactive Approach
- 2014. - 1
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Ingår i: Emotion Modeling. - Cham : Springer International Publishing Switzerland. - 9783319129723 - 9783319129730 ; , s. 76-98
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Bokkapitel (refereegranskat)abstract
- In this chapter, we present a minimalist approach to utilizing the computational principles of affective processes and emotions for autonomous robotics applications. The focus of this paper is on the presentation of this framework in reference to preservation of agent autonomy across levels of cognitive-affective competences. This approach views autonomy in reference to (i) embodied (e.g. homeostatic), and (ii) dynamic (e.g. neural-dynamic) processes, required to render adaptive such cognitive-affective competences. We hereby focus on bridging bottom-up (standard autonomous robotics) and top-down (psychology-based dimensional theoretic) modelling approaches. Our enactive approach we characterize according to bi-directional grounding (inter-dependent bottom-up and top-down regulation). As such, from an emotions theory perspective, ‘enaction’ is best understood as an embodied and dynamic appraisal perspective. We attempt to clarify our approach with relevant case studies and comparison to other existing approaches in the modelling literature.
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| 6. |
- Montebelli, Alberto, et al.
(författare)
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More from the Body : Embodied anticipation for swift re-adaptation in neurocomputational cognitive architectures for robotic agents
- 2010
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Ingår i: Advances in Cognitive Systems. - Stevenage : Institution of Engineering and Technology. - 1849190755 - 1849190763 - 9781849190756 - 9781849190763 ; , s. 249-270
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Bokkapitel (refereegranskat)abstract
- The coupling between a body (in an extended sense that encompasses both neural and non-neural dynamics) and its environment is here conceived as a critical substrate for cognition. We propose and discuss the plan for a neurocomputational cognitive architecture for robotic agents, so far implemented in its minimal form for supporting the behavior of a simple simulated robotic agent. A non-neural internal bodily mechanism (crucially characterized by a time scale much slower than the normal sensory-motor interactions of the robot with its environment) extends the cognitive potential of a system composed of purely reactive parts with a dynamic action selection mechanism and the capacity to integrate information over time. The same non-neural mechanism is the foundation for a novel, minimalist anticipatory architecture, implementing our bodily-anticipation hypothesis and capable of swift re-adaptation to related yet novel tasks.
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| 7. |
- Montebelli, Alberto, et al.
(författare)
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The Cognitive Body : from Dynamic Modulation to Anticipation
- 2003
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Ingår i: Anticipatory Behavior in Adaptive Learning Systems. - : Springer. - 9783540404293 ; , s. 132-151
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Bokkapitel (refereegranskat)abstract
- Starting from the situated and embodied perspective on the study of cognition as a source of inspiration, this paper programmatically outlines a path towards an experimental exploration of the role of the body in a minimal anticipatory cognitive architecture. Cognition is here conceived and synthetically analyzed as a broadly extended and distributed dynamic process emerging from the interplay between a body, a nervous system and their environment. Firstly, we show how a non-neural internal state, crucially characterized by slowly changing dynamics, can modulate the activity of a simple neurocontroller. The result, emergent from the use of a standard evolutionary robotic simulation, is a selforganized, dynamic action selection mechanism, effectively operating in a context dependent way. Secondly, we show how these characteristics can be exploited by a novel minimalist anticipatory cognitive architecture. Rather than a direct causal connection between the anticipation process and the selection of the appropriate behavior, it implements a model for dynamic anticipation that operates via bodily mediation (bodily-anticipation hypothesis). This allows the system to swiftly scale up to more complex tasks never experienced before, achieving flexible and robust behavior with minimal adaptive cost.
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