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• W2087433218 startingPage "263" @default.
• W2087433218 abstract "Inventions – concepts, devices, procedures – are often created by networks of interacting agents in which the agents can be individuals (as in a scientific discipline) or they can themselves be collectives (as in firms interacting in a market). Different collectives create and invent at different rates. It is plausible that the rate of invention is jointly determined by properties of the agents (e.g., their cognitive capacity) and by properties of the network of interactions (e.g., the density of the communication links), but little is known about such two-level interactions. We present an agent-based model of social creativity in which the individual agent captures key features of the human cognitive architecture derived from cognitive psychology, and the interactions are modeled by agents exchanging partial results of their symbolic processing of task information. We investigated the effect of agent and network properties on rates of invention and diffusion in the network via systematic parameter variations. Simulation runs show, among other results, that (a) the simulation exhibits network effects, i.e., the model captures the beneficial effect of collaboration; (b) the density of connections produces diminishing returns in term of the benefits on the invention rate; and (c) limits on the cognitive capacity of the individual agents have the counterintuitive consequence of focusing their efforts. Limitations and relations to other computer simulation models of creative collectives are discussed." @default.
• W2087433218 created "2016-06-24" @default.
• W2087433218 creator A5005258575 @default.
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• W2087433218 date "2010-10-01" @default.
• W2087433218 modified "2023-10-16" @default.
• W2087433218 title "Social creativity as a function of agent cognition and network properties: A computer model" @default.
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• W2087433218 doi "https://doi.org/10.1016/j.socnet.2010.04.001" @default.
• W2087433218 hasPublicationYear "2010" @default.
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