30,407 research outputs found

    Evolution, Consciousness, and the Internality of Mind

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    Contextual emergence of intentionality

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    By means of an intriguing physical example, magnetic surface swimmers, that can be described in terms of Dennett's intentional stance, I reconstruct a hierarchy of necessary and sufficient conditions for the applicability of the intentional strategy. It turns out that the different levels of the intentional hierarchy are contextually emergent from their respective subjacent levels by imposing stability constraints upon them. At the lowest level of the hierarchy, phenomenal physical laws emerge for the coarse-grained description of open, nonlinear, and dissipative nonequilibrium systems in critical states. One level higher, dynamic patterns, such as, e.g., magnetic surface swimmers, are contextually emergent as they are invariant under certain symmetry operations. Again one level up, these patterns behave apparently rational by selecting optimal pathways for the dissipation of energy that is delivered by external gradients. This is in accordance with the restated Second Law of thermodynamics as a stability criterion. At the highest level, true believers are intentional systems that are stable under exchanging their observation conditions.Comment: 27 pages; 4 figures (Fig 1. Copyright by American Physical Society); submitted to Journal of Consciousness Studie

    Affording Affordances

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    A striking feature of the latest version of Dennettā€™s ā€˜big pictureā€™ of the evolution of life and mind is frequent reference to ā€˜affordancesā€™. An affordance is, roughly, a possibility for action for a creature in an environment. Given more than one possibility for action, a good question is: what will the creature actually do? I argue that affordances pose a problem of selection, and that a good general solution to this problem of mind-design is to implement a system of preferences

    Evolving collective behavior in an artificial ecology

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    Collective behavior refers to coordinated group motion, common to many animals. The dynamics of a group can be seen as a distributed model, each ā€œanimalā€ applying the same rule set. This study investigates the use of evolved sensory controllers to produce schooling behavior. A set of artificial creatures ā€œliveā€ in an artificial world with hazards and food. Each creature has a simple artificial neural network brain that controls movement in different situations. A chromosome encodes the network structure and weights, which may be combined using artificial evolution with another chromosome, if a creature should choose to mate. Prey and predators coevolve without an explicit fitness function for schooling to produce sophisticated, nondeterministic, behavior. The work highlights the role of speciesā€™ physiology in understanding behavior and the role of the environment in encouraging the development of sensory systems

    Becoming plant and posthumanism in Jeff Noon's Pollen (1995)

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    This article examines Jeff Noonā€™s cyberpunk novel Pollen (1995), arguing for its innovative treatment of spatial and species identities. In addition to the challenging representations of gender and feminism identified by Val Gough, there are other kinds of decentering enacted, notably in the novelā€™s speculative treatment of ā€œbecoming plantā€ and the location of the action in the North of England

    How to Knit Your Own Markov Blanket

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    Hohwy (Hohwy 2016, Hohwy 2017) argues there is a tension between the free energy principle and leading depictions of mind as embodied, enactive, and extended (so-called ā€˜EEE1 cognitionā€™). The tension is traced to the importance, in free energy formulations, of a conception of mind and agency that depends upon the presence of a ā€˜Markov blanketā€™ demarcating the agent from the surrounding world. In what follows I show that the Markov blanket considerations do not, in fact, lead to the kinds of tension that Hohwy depicts. On the contrary, they actively favour the EEE story. This is because the Markov property, as exemplified in biological agents, picks out neither a unique nor a stationary boundary. It is this multiplicity and mutabilityā€“ rather than the absence of agent-environment boundaries as such - that EEE cognition celebrates

    Love and Structure

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    This is a preprint (author's original) version of the article published in Theory, Culture and Society 15:243-63. The final version of the article can be found at http://dx.doi.org/10.1177/0263276498015003011 (login required to access content). The version made available in Digital Common was supplied by the author.Author's Origina

    Integration of psychological models in the design of artificial creatures

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    Artificial creatures form an increasingly important component of interactive computer games. Examples of such creatures exist which can interact with each other and the game player and learn from their experiences. However, we argue, the design of the underlying architecture and algorithms has to a large extent overlooked knowledge from psychology and cognitive sciences. We explore the integration of observations from studies of motivational systems and emotional behaviour into the design of artificial creatures. An initial implementation of our ideas using the ā€œsim agentā€ toolkit illustrates that physiological models can be used as the basis for creatures with animal like behaviour attributes. The current aim of this research is to increase the ā€œrealismā€ of artificial creatures in interactive game-play, but it may have wider implications for the development of AI
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