In a multiagent system where each agent has only an incomplete view of the world, optimal coalition formation is difficult. Coupling that with real-time and resource constraints often makes the rationalization process infeasible or costly. We propose a coalition formation approach that identifies and builds sub-optimal yet satisficing coalitions among agents to solve a problem detected in the e...

resource allocation techniques have recently appeared as a widely recognized feature in lte networks. most of existing approaches in resource allocation focus on maximizing network’s utility functions. the great potential of utility function in improving resource allocation and enhancing fairness and mean opinion score (mos) indexes has attracted large efforts over the last few years. in this p...

while conventional data envelopment analysis models set targets separately for each decision making unit, centralized recourse allocation model is presented where there is a centralized decision maker that supervises all the operating units. optimizing of total input consumption and total output production is the main aim of this model. in this paper, firstly the centralized output production m...

In this paper, we present a set of allocation algorithms for a dynamic, negotiation-based coalition formation model. The model is for a cooperative multiagent system in which each agent has incomplete information about its dynamic and uncertain world and must respond to sensed events within time constraints. With incomplete information and uncertain world parameters while lacking time, an agent...

The provision of medical care typically involves a number of individuals, located in a number of different institutions, whose decisions and actions need to be coordinated if the care is to be effective and efficient. To facilitate this decision making and to ensure the coordination process runs smoothly, the use of software support is becoming increasingly widespread. To this end, this paper d...

The paper analyzes the intensity of choice in an agent based financial optimization problem. Mean-variance optimizing agents choose among mutual funds of similar styles but varying performance. We specify a model for the allocation of new funds, switching between funds, and withdrawals and obtain statistically significant estimates of the intensity of choice parameter. This estimate is also giv...

While model-based testing is widely-used for function tests, testing the human-machine interface (HMI) remains a manual, demanding and time consuming task. Numerous research efforts have been addressing model-based HMI testing in the last years. However the existing approaches cannot serve our test purposes or needs. In the research project at AUDI AG a model-based testing approach is proposed ...

This paper extends the model developed in Egbetokun and Savin (2012) by emphasising the dynamic aspects of partnership formation. Networks emerge as a result of bilateral cooperations over time between firms occupying different locations in the knowledge space. Cognitive distance between two firms reflecting both understandability and novelty aspects of their knowledge stocks changes as a funct...

This paper models and analyzes task allocation methodologies for multiagent systems. The evaluation process was implemented as a collection of simulated soccer matches. A soccer-simulation software package was used as the test-bed as it provided the necessary features for implementing and testing the methodologies. The methodologies were tested through competitions with a number of available so...

in this research, both resource allocation and reactive resource allocation problems in multi-server dynamic pert networks are analytically modeled, where new projects are expected to arrive according to a poisson process, and activity durations are also known as independent random variables with exponential distributions. such system is represented as a queuing network, where multi servers at ...