Bibliographic Citation
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| Title | Swarms, phase transitions, and collective intelligence |
| Creator/Author | Millonas, M.M. (Texas Univ., Austin, TX (United States). Dept. of Physics) |
| Publication Date | 1992 Jan 01 |
| OSTI Identifier | OSTI ID: 6998354; Legacy ID: DE93005455 |
| Report Number(s) | LA-UR-92-3980; CONF-9206329--1 |
| DOE Contract Number | W-7405-ENG-36 |
| Other Number(s) | Other: ON: DE93005455 |
| Resource Type | Conference |
| Specific Type | Technical Report |
| Resource Relation | Conference: 3. artificial life conference, Santa Fe, NM (United States), 15-19 Jun 1992 |
| Research Org | Los Alamos National Lab., NM (United States) |
| Sponsoring Org | DOE; USDOE, Washington, DC (United States) |
| Subject | 59 BASIC BIOLOGICAL SCIENCES; ANTS; BEHAVIOR; ARTIFICIAL INTELLIGENCE; LIFE CYCLE; PHASE TRANSFORMATIONS; SYMMETRY BREAKING; THERMODYNAMICS; ANIMALS; ARTHROPODS; HYMENOPTERA; INSECTS; INVERTEBRATES |
| Description/Abstract | A model of the collective behavior of a large number of locally acting organisms is proposed. The model is intended to be realistic, but turns out to fit naturally into the category of connectionist models, Like all connectionist models, its properties can be divided into the categories of structure, dynamics, and learning. The space in which the organisms move is discretized, and is modeled by a lattice of nodes, or cells. Each cell hag a specified volume, and is connected to other cells in the space in a definite way. Organisms move probabilistically between local cells in this space, but with weights dependent on local morphogenic substances, or morphogens. The morphogens are in turn are effected by the passage of an organism. The evolution of the morphogens, and the corresponding constitutes of the organisms constitutes the collective behavior of the group. The generic properties of such systems are analyzed, and a number of results are obtained. The model has various types of phase transitions and self-organizing properties controlled both by the level of the noise, and other parameters. It is hoped that the present mode; might serve as a paradigmatic example of a complex cooperative system in nature. In particular this model can be used to explore the relation of phase transitions to at least three important issues encountered in artificial life. Firstly, that of emergence as complex adaptive behavior. Secondly, as an exploration of second order phase transitions in biological systems. Lastly, to derive behavioral criteria for the evolution of collective behavior in social organisms. The model is then applied to the specific case of ants moving on a lattice. The local behavior of the ants is inspired by the actual behavior observed in the laboratory, and analytic results for the collective behavior are compared to the corresponding laboratory results. Monte carlo simulations are used as illustrations. |
| Country of Publication | United States |
| Language | English |
| Format | Medium: X; Size: Pages: (30 p) |
| Availability | OSTI; NTIS; GPO Dep. |
| System Entry Date | 2008 Feb 08 |
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