An agent-based simulation model representing a theory of the dynamic processes involved in innovation in modern knowledge-based industries is described. The agent-based approach allows the representation of heterogeneous agents that have individual and varying stocks of knowledge. The simulation is able to model uncertainty, historical change, effect of failure on the agent population, and agen...

Traditionally, most literatures supposed that the interactions between heterogeneous individuals had relatively limited influence on explaining macroeconomic phenomena, hence simplified the whole economy into only representative agent, or even its multiple. For recent decades, notwithstanding the representative agent model has remarkably progressed in its theorem completeness and mathematics al...

In this paper, the mechanical behavior of three-phase inhomogeneous materials is modeled using the meso-scale model with lattice beams for static and dynamic analyses. The Timoshenko beam theory is applied instead of the classical Euler-Bernoulli beam theory and the mechanical properties of lattice beam connection are derived based on the continuum medium using the non-local continuum theory. T...

In this study, we propose a new approach to realize a reinforcement learning scheme for heterogeneous multiagent systems. In our approach, we treat the collective agents systems in which there are multiple autonomous mobile robots, and given tasks are achieved based on the collective behavior approach. Also, each agent organizes and refines its knowledge for executing its own behaviors by reinf...

This paper discusses the implementation and run-time support for Multi-Agent Systems (MAS). We start presenting MAS in the context of Open Distributed Processing (ODP). Next, a model of a cog-nitive agent being currently developed at LIFIA is detailed. Taking this model as reference, we examine alternatives for supporting cognitive agents in distributed and heterogeneous environments. Finally, ...

in the present study, a heterogeneous and homogeneous gas flow dispersion model for simulation and optimization of a large-scale catalytic slurry reactor for the direct synthesis of dimethyl ether (dme) from synthesis gas (syngas) and co2, using a churn-turbulent regime was developed. in the heterogeneous flow model, the gas phase was distributed into two bubble phases including small and large...

Synchronization among autonomous agents via local interactions is one of the benchmark problems in multi-agent control. Whereas synchronization algorithms for identical agents have been thoroughly studied, synchronization of heterogeneous networks still remains a challenging problem. The existing algorithms primarily use the internal model principle, assigning to each agent a local copy of some...

Abstract Market players in the energy sector transition are heterogeneous, have bounded rationality and influenced by their own past failures, as well imitating successes of competitors. However this agent heterogeneity complex behaviour investment choices is not taken into account traditional energy-economy models used to inform policies. By using BRAIN-Energy, an agent-based model electricity...

Web services requirements for means of automating the coordination of distributed heterogeneous applications have been addressed by a twopronged initiative. One has been driven by process management technologies, represented by the compositional language BPEL4WS, and the other by the Semantic Web technologies, represented by ontologies and agents. The framework presented in this paper integrate...

The rapid growth of the network-centered (Internet and Intranet) computing environments requires new architectures for information retrieval systems. Typically, in these environments, the information resources are dynamic, heterogeneous and distributed. In addition, these computing environments are open, where information resources may be connected or disconnected at any time. This paper presen...