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  1.  11
    The Missing Link Between Memory and Reinforcement Learning.Christian Balkenius, Trond A. Tjøstheim, Birger Johansson, Annika Wallin & Peter Gärdenfors - 2020 - Frontiers in Psychology 11.
    Reinforcement learning systems usually assume that a value function is defined over all states that can immediately give the value of a particular state or action. These values are used by a selection mechanism to decide which action to take. In contrast, when humans and animals make decisions, they collect evidence for different alternatives over time and take action only when sufficient evidence has been accumulated. We have previously developed a model of memory processing that includes semantic, episodic and working (...)
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  2.  3
    A Dynamical Perspective on the Generality Problem.Andreas Stephens, Trond A. Tjøstheim, Maximilian Roszko & Erik J. Olsson - 2021 - Acta Analytica:1-14.
    The generality problem is commonly considered to be a critical difficulty for reliabilism. In this paper, we present a dynamical perspective on the problem in the spirit of naturalized epistemology. According to this outlook, it is worth investigating how token belief-forming processes instantiate specific types in the biological agent’s cognitive architecture and background experience, consisting in the process of attractor-guided neural activation. While our discussion of the generality problem assigns “scientific types” to token processes, it represents a unified account in (...)
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  3.  7
    Intelligence as Accurate Prediction.Trond A. Tjøstheim & Andreas Stephens - 2021 - Review of Philosophy and Psychology:1-25.
    This paper argues that intelligence can be approximated by the ability to produce accurate predictions. It is further argued that general intelligence can be approximated by context dependent predictive abilities combined with the ability to use working memory to abstract away contextual information. The flexibility associated with general intelligence can be understood as the ability to use selective attention to focus on specific aspects of sensory impressions to identify patterns, which can then be used to predict events in novel situations (...)
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  4.  4
    The Cognitive Philosophy of Communication.Trond A. Tjøstheim, Andreas Stephens, Andrey Anikin & Arthur Schwaninger - 2020 - Philosophies 5 (39):39-0.
    Numerous species use different forms of communication in order to successfully interact in their respective environment. This article seeks to elucidate limitations of the classical conduit metaphor by investigating communication from the perspectives of biology and artificial neural networks. First, communication is a biological natural phenomenon, found to be fruitfully grounded in an organism’s embodied structures and memory system, where specific abilities are tied to procedural, semantic, and episodic long-term memory as well as to working memory. Second, the account explicates (...)
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