Networks of multi-agent systems are considered to be heterogeneous if they include systems with different sets of APIs, running on different virtual machines. Developing an agent that can operate in this kind of a setting is a difficult task, because the process requires regeneration of the agent’s executable code, as well as modifications in the way it communicates with the environment. With t...

In this article, we investigate a constrained optimal coordination problem for class of heterogeneous nonlinear multi-agent systems described by high-order dynamics subject to both unknown nonlinearities and external disturbances. Each agent has private objective function steady-state constraint about its output. We develop composite distributed controller each combination internal model neural...

This paper investigates the problem of stochastically cooperative output regulation heterogeneous multi-agent systems (MASs) subject to hidden Markov jumps using observer-based distributed control. In order address a more realistic situation than prior studies, this focuses on following issues: (1) asynchronous phenomena in system mode’s transmission controller; (2) impact mode switching networ...

Axelrod’s [Axelrod, 1997] cultural dissemination model introduces an agent-based simulation where random agent interactions transmit culture through an agent population, and the system evolves over time to form multiple stable homogeneous cultural regions. We expand upon this work by introducing a quantum model. Agents are represented by quantum registers, and agent interactions are quantum ope...

Coordination mechanisms need the proper support if they are to function within large-scale, heterogeneous multi-agent systems. This paper presents a life cycle model for mobile agents in which a number of different states and transitions are defined. An agent’s state can be used to provide coordination mechanisms with useful status information, enabling these mechanisms to deal with realistic s...

Social behavior of animals can offer solution models for missions involving a large number of heterogeneous vehicles, such as light combat ships, unmanned aerial vehicles, and unmanned underwater vehicles. We draw inspiration from the foraging techniques of bottlenose dolphins to address the problem of heterogeneous multi-agent herding. We produce a hybrid automaton model of the entire foraging...

Distributed Data Mining (DDM) has become one of the promising areas of Data Mining. DDM techniques include classifier approach and agent-approach. Classifier approach plays a vital role in mining distributed data, having homogeneous and heterogeneous approaches depend on data sites. Homogeneous classifier approach involves ensemble learning, distributed association rule mining, meta-learning an...