Service oriented architecture is applied to Grid computing in the form of OGSA. But the classical service mechanism is too sophisticated to build a large scale service oriented Grid because of varieties of homogeneous and heterogeneous services with different level of quality. On the other hand, agent communities successfully built multi-agent system theory and agent based software engineering ...

In all the existing literature on survival in heterogeneous economies, the rate at which an agent vanishes in the long run relative to another agent can be characterized by the difference of the so-called survival indices, where each survival index only depends on the preferences of the corresponding agent and the properties of the aggregate endowment. In particular, one agent experiences extin...

One of the main challenges faced by the multi-agent community is to ensure the coordination of autonomous agents in open heterogeneous multi-agent systems. In order to coordinate their behaviour, the agents should be able to interact with each other. Social commitments have been used in recent years as an answer to the challenges of enabling heterogeneous agents to communicate and interact succ...

Process monitoring using profile data remains an important and challenging problem in various manufacturing industries. Motivated by application case of motherboard testing processes, we develop a novel modeling framework for heterogeneous multivariate profiles. In this framework, graphical model is constructed to depict the complicated relationship among channels. Then channels can be reduced ...

Sahar, Madiha M.S.E.C.E., Purdue University, May 2014. A Framework for Synthesizing Agent-Based Heterogeneous Population Model for Epidemic Simulation. Major Professor: Arif Ghafoor. Social interactions play an important role in spread of a disease. In this thesis we propose a probabilistic approach to synthesize an agent-based heterogeneous population interaction model to study the spatio-temp...

In this paper, consensus problems of heterogeneous multi-agent systems based on sampled data with a small sampling delay are considered. First, a consensus protocol based on sampled data with a small sampling delay for heterogeneous multi-agent systems is proposed. Then, the algebra graph theory, the matrix method, the stability theory of linear systems, and some other techniques are employed t...

We study the mechanism design problem of a social planner for locating two facilities on line interval [0, 1], where set n strategic agents report their locations and determines facilities. consider requirement minimum distance 0 ≤ d 1 between Given are heterogeneous, we model cost/utility an agent as sum his distances to both In heterogeneous two-facility location game minimize cost, show that...

A novel approach to power scheduling is introduced, focusing on minimizing both economic and environmental impacts. This method utilizes deep contextual reinforcement learning (RL) within an agent-based simulation environment. Each generating unit treated as independent, heterogeneous agent, the dynamics are formulated Markov decision processes (MDPs). The MDPs then used train a RL model determ...

An administration of large doses of an antigen brings about immunological tolerance (unresponsiveness) to the next challenge with the same antigen. A hypothesis on the mechanism of tolerance to Human Serum Albumin (HSA) induced in chickens was formulated mathematically using compartmental models. By comparison of the modelled and experimental results, the presence of some additional mechanism w...

This paper presents a new agent-based financial market. It is designed to be both simple enough to gain insights into the nature and structure of what is going on at both the agent and macro levels, but remain rich enough to allow for many interesting evolutionary experiments. The model is driven by heterogeneous agents who put varying weights on past information as they design portfolio strate...