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Swarm is an open-source agent-based modeling simulation package, useful for simulating the interaction of agents (social or biological) and their emergent collective behavior. Swarm was initially developed at the Santa Fe Institute in the mid-1990s, and since 1999 has been maintained by the non-profit Swarm Development Group .
The scout bees are translated from a few employed bees, which abandon their food sources and search new ones. In the ABC algorithm, the first half of the swarm consists of employed bees, and the second half constitutes the onlooker bees. The number of employed bees or the onlooker bees is equal to the number of solutions in the swarm.
Other methods of describing agent-based models include code templates [24] and text-based methods such as the ODD (Overview, Design concepts, and Design Details) protocol. [ 25 ] The role of the environment where agents live, both macro and micro, [ 26 ] is also becoming an important factor in agent-based modelling and simulation work.
Examples of swarm intelligence in natural systems include ant colonies, bee colonies, bird flocking, hawks hunting, animal herding, bacterial growth, fish schooling and microbial intelligence. The application of swarm principles to robots is called swarm robotics while swarm intelligence refers to the more general set of algorithms.
This shows the typical layout of a simple computer's program memory with the text, various data, and stack and heap sections. Historically, BSS (from Block Started by Symbol) is a pseudo-operation in UA-SAP (United Aircraft Symbolic Assembly Program), the assembler developed in the mid-1950s for the IBM 704 by Roy Nutt, Walter Ramshaw, and others at United Aircraft Corporation.
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In the mid-1950s, when assembly language programming was the main way to program a computer, macro instruction features were developed to reduce source code (by generating multiple assembly statements from each macro instruction) and to enforce coding conventions (e.g. specifying input/output commands in standard ways). [31]
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