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We use an agent-based NK model to explore the conditions under which standard platforms emerge among competing products. Our findings were inconclusive. We find that the usual Darwinian conditions needed for the emergence of complexity are sufficient to yield a limited reliance upon platforms with a core of common components, simply because evolution causes the population to converge on a set of products...
The problem of evolving and maintaining cooperation in both ecological and artificial multi-agent systems has intrigued scientists for decades. In this paper, we present an evolutionary game model that combines direct and spatial reciprocity to investigate the effectiveness of two different learning mechanisms used to promote cooperative behaviour in a social dilemma game - the N-player Iterated Prisoner's...
As a kind of applied AI systems in the fault diagnosis domain, an intelligent fault diagnosis system has obtained much good effect in the practice, but, with the gradual complication from modern industry equipments and systems, it is more difficult to accurately and quickly diagnose complicated or exceptional faults. For improving the accurate rate of fault diagnosis methods, and overcoming the diagnosis...
With management theory, life science and information science as the guiding ideology and based on theories and methods of immunology, multi-Agent modeling and simulation as well as emergency management, this paper constructs immunology-based emergency preplan multi-Agent theoretical framework, put forwards the generation of emergency preplan multi-Agent and its interaction mechanism with outburst...
An intelligent fault diagnosis system has obtained much good effect in the practice, but, with the gradual complication in modern industry equipments and systems, it is more hard to quickly diagnose complicated or exceptional faults. For overcoming the diagnosis weakness of traditional fault diagnosis methods in the dynamic environment, a peculiar immune cooperative evolution is analyzed and researched,...
This article the technology system, and analyzes factors of technology system, the ecosystem evolution theory applied technology system. Constructed model of the evolution of technology systems, and finally the use of A model and system to promote the evolution of the A model, aims to improve the speed of evolution of technology systems, promoting technological development.
The game model of prisonerpsilas dilemma is applied to describe the survival game of altruistic behaviors and selfish behaviors. The game model is extended to an evolutionary game. The learning strategies of altruistic and selfish agents, and their survival, update and movement rules are described in detail. Simulation results show that altruists can outperform selfish agents under certain conditions...
Urban problems caused by fast urbanization become more and more complex, bringing new challenges to urban planning and its education. Therefor, proposition of artificial cities is put forward in this paper, based on which artificial urban planning research can be carried out. By adopting multi-agent system (MAS) method and according to features of Swarm simulation, the spatial evolution system model...
This brief survey gives an introduction on agent-based computational finance (ABCF), focusing on features of heterogeneity and interaction among agents. In contrast to traditional deductive asset pricing theory with strictly defined representative investors, ABCF is characteristic of multi heterogeneous agents, making their own trading decisions in a virtual market respectively and interacting with...
This paper argues the dynamic evolution issue of investor sentiment based on the small world network theory, by reviewing the micro-mechanism of financial network. On the stochastic multi-agent platform of Nagurney's financial market, it takes the relative wealth and habit formation utility functions as the motive mechanism of this network structure evolution. With the degree distributions, mean geodetic...
This paper proposes a multi-agent model to simulate cooperative and competitive behavior between companies at the same level in the supply chain within a single market. We analyze the networks generated by our model and find interesting findings about the evolution of cooperation through time. These results suggest that strictly competitive strategies are more effective at generating multiple cooperative...
Supervision issues exist among almost every industry of this world. Based on a multi-agent modeling and simulation approach, this paper, which is different from the existing researches, designs the interaction rules of supervision and violation, builds the evolving mechanism using genetic algorithm, and simulates the evolving process on the swarm platform. On the basis of the results of the simulation,...
This research effort seeks to address the problem of limited communication in multi-agent systems by the use biologically-inspired implementations of intelligent control systems. A detailed simulation platform is built and tested. The platform contains many user-configurable parameters and is intended to be used as a general purpose research tool for the study of the evolution of communication in...
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