A. R. Johnson. Evolution of a size-structured, predator-prey community. In C. G. Langton, editor, Artificial Life III, pages 105--129, Reading, MA, 1994. Addison-Wesley.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....of species distribution. The definition of species corresponds to equal number of instructions organism in the first case, and organisms with the same genotype in the second. Other simulations have also been created to specifically address diversity or any of the factors influencing it. Johnson s [15] and Lindgren Nordahl s [16] focus more in trophic relations in order to generate realistic food webs, and, in the case of Johnson, realistic mass sequences for the different trophic levels. Levchenko s model [17, 18] includes explicit spatial coordinates and trophic interactions among ....

Alan R. Johnson. Evolution of a size-structured, predator-prey community. In Artificial Life III, C. Langton (ed.), pages 105--129. Addison-Wesley, 1994.

....By modelling evolution in computers, we are given the opportunity to explore the complex processes taking place in an evolutionary simulation quickly and repeatedly. While still a relatively new field, much work has been done in computer modelling of evolution, ranging from biological modelling [5, 16, 29, 32] through to the development of artificial life ecosystems [1, 2, 9, 23] Following from the biological definitions, we will call the genetic material stored in a candidate solution the genotype, and the physical behavioural traits of this genetic material in its environment the phenotype. ....

Alan R. Johnson. Evolution of a size-structured, predator-prey community. In C. Langton, editor, Artificial Life III, SFI Studies in the Sciences of Complexity, pages 105--129. Addison-Wesley, 1994.

....of self organisation. The model, derived from the non uniform cellular automata model [1 4] is inspired by the idea of co evolving to a higher degree of specialisation with macrostructures in a single computational ecosystem. For other relevant work, we refer to the ecological models studied in [5 7]. Cellular automata (CAs) are discrete dynamical systems of simple locally connected interacting cells [8 10] They are simple, general, and computationally powerful [11, 12] The model is perhaps the simplest example of systems that are capable of emergent computation global information ....

....perform the synchronisation task. We were able to study a simple process of formation of multicellular organisms, each of which may differ from the other in size (the number of cells) A co evolutionary model of interacting organisms that differ from each other in size and mass has been studied by [7]. The author has studied the importance of body size for adaptation in heterogeneous ecological communities. Our investigation goes a little further. It suggests that the adaptation in an ecosystem is not only related to the size of an organism but also to the organism s ability to cooperate in a ....

A. R. Johnson. Evolution of a size-structured, predator-prey community. In C. G. Langton, editor, Artificial Life III, SFI Studies in the Sciences of Complexity, pages 105--129. Addison-Wesley, Reading, MA, 1994.

....interesting issues for further research. This paper leaves out much of the implementation details of the aegis world. For a more detailed description we refer to (Elia, 1997a) and (Elia, 1997b) Similar work has been done in (Bedau and Packard, 1991) Devine and Paton, 1997) Coderre, 1988) (Johnson, 1994) and (Skipper, 1991) 2 AEGIS The arti cial world can be seen as a two dimensional grid wrapped around at the edges (Figure 1) Each grid position corresponds with an area which can contain one animal and one plant. Area plant animal Figure 1: The Arti cial World structure. The world evolves ....

Johnson, A. R. (1994). Evolution of a size-structured, predator-prey community. In Langdon, C. G., editor, Articial Life III, volume XVII. AddisonWesley.

....we have the opportunity to explore and utilise the complex adaptive process taking place in an evolutionary simulation quickly and repeatedly. While this is still a relatively new field, much work has been done in the field of computer modelling of evolution, ranging from biological modelling [4, 14, 21, 26] through to the development of artificial life ecosystems [1, 2, 7, 19] Following the biological definitions, we call the genetic material stored in a candidate solution the genotype, and the physical behavioural traits of this genetic material in its environment the phenotype. Throughout this ....

Alan R. Johnson. Evolution of a size-structured, predator-prey community. In C. Langton, editor, Artificial Life III, SFI Studies in the Sciences of Complexity, pages 105--129. Addison-Wesley, 1994.

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A. R. Johnson. Evolution of a size-structured, predator-prey community. In C. G. Langton, editor, Artificial Life III, pages 105--129, Reading, MA, 1994. Addison-Wesley.

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