7 research outputs found

    Inanimate Life

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    Inanimate Life is an open textbook covering a very traditional biological topic, botany, in a non-traditional way. Rather than a phylogenetic approach, going group by group, the book considers what defines organisms and examines four general areas of their biology: structure (their composition and how it comes to be), reproduction (including sex), energy and material needs, and their interactions with conditions and with other organisms. Although much of the text is devoted to vascular plants, the book comparatively considers ‘EBA = everything but animals’ (hence the title): plants, photosynthetic organisms that are not plants (‘algae’, as well as some bacteria and archaebacteria), fungi, and ‘fungal-like’ organisms. The book includes brief ‘fact sheets’ of over fifty organisms/groups that biologists should be aware of, ranging from the very familiar (corn, yeast) to the unfamiliar (bracket fungi, late-blight of potato). These groups reflect the diversity of inanimate life.https://knightscholar.geneseo.edu/oer-ost/1022/thumbnail.jp

    Slime mould games based on rough set theory

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    We define games on the medium of plasmodia of slime mould, unicellular organisms that look like giant amoebae. The plasmodia try to occupy all the food pieces they can detect. Thus, two different plasmodia can compete with each other. In particular, we consider game-theoretically how plasmodia of Physarum polycephalum and Badhamia utricularis fight for food. Placing food pieces at different locations determines the behavior of plasmodia. In this way, we can program the plasmodia of Physarum polycephalum and Badhamia utricularis by placing food, and we can examine their motion as a Physarum machine—an abstract machine where states are represented as food pieces and transitions among states are represented as movements of plasmodia from one piece to another. Hence, this machine is treated as a natural transition system. The behavior of the Physarum machine in the form of a transition system can be interpreted in terms of rough set theory that enables modeling some ambiguities in motions of plasmodia. The problem is that there is always an ambiguity which direction of plasmodium propagation is currently chosen: one or several concurrent ones, i.e., whether we deal with a sequential, concurrent or massively parallel motion. We propose to manage this ambiguity using rough set theory. Firstly, we define the region of plasmodium interest as a rough set; secondly, we consider concurrent transitions determined by these regions as a context-based game; thirdly, we define strategies in this game as a rough set; fourthly, we show how these results can be interpreted as a Go game

    Slime Mould Games Based on Rough Set Theory

    No full text
    We define games on the medium of plasmodia of slime mould, unicellular organisms that look like giant amoebae. The plasmodia try to occupy all the food pieces they can detect. Thus, two different plasmodia can compete with each other. In particular, we consider game-theoretically how plasmodia of Physarum polycephalum and Badhamia utricularis fight for food. Placing food pieces at different locations determines the behavior of plasmodia. In this way, we can program the plasmodia of Physarum polycephalum and Badhamia utricularis by placing food, and we can examine their motion as a Physarum machine-an abstract machine where states are represented as food pieces and transitions among states are represented as movements of plasmodia from one piece to another. Hence, this machine is treated as a natural transition system. The behavior of the Physarum machine in the form of a transition system can be interpreted in terms of rough set theory that enables modeling some ambiguities in motions of plasmodia. The problem is that there is always an ambiguity which direction of plasmodium propagation is currently chosen: one or several concurrent ones, i.e., whether we deal with a sequential, concurrent or massively parallel motion. We propose to manage this ambiguity using rough set theory. Firstly, we define the region of plasmodium interest as a rough set; secondly, we consider concurrent transitions determined by these regions as a context-based game; thirdly, we define strategies in this game as a rough set; fourthly, we show how these results can be interpreted as a Go game

    Proceedings of the Arkansas Academy of Science - Volume 40 1986

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