The AgentSpeak type of languages are considered for decision making in autonomous control systems. To reduce the complexity and increase the verifiability of decision making, a limited instruction set agent (LISA) is introduced. The new decision method is structurally simpler than its predecessors and easily lends itself to both design time and runtime verification methods. The process of conve...

Previously, we showed that a minimally cognitive, visual agent demonstrated selective attention and reactive inhibition (Ward & Ward, in press). Surprisingly, we discovered the existence of an opponent-process architecture in our agent’s evolved, neural-network controller. Here, we investigate how opponent processes affect response control in the agent. We scale up cognitive problem solving by ...

Agent technology is critical in providing solutions to grid computing, including resource selection. Traditionally, agent deliberation offers a deductive process whose deliberation cost is very high and also difficult to measure. We consider the use of Multi-Agent Systems (MAS) for grid selection. Within this domain timing is an important index. Once the client applies for some service, the MAS...

In order to realize STEP-NC-oriented computer numerical control machining and achieve optimal performance in manufacturing, a multi-agent system for process planning in STEP-NC based manufacturing was designed. By analyzing the characteristic of STEP-NC data model, a manufacturing feature-oriented process planning method was proposed in this study and the distributed artificial intelligence met...

With the help of smart grid technologies, a lot electrical loads can provide demand response to support active power balance grid. Compared with centralized control methods, decentralized methods reduce computational burden center and enhance reliability communication. In this paper, novel second-order multi-agent consensus method is proposed for load problem. By introducing velocity state into...

This article presents a solution to pH control based on model-free intelligent control (MFIC) using reinforcement learning. This control technique is proposed because the algorithm gives a general solution for acid-base system, yet simple enough for its implementation in existing control hardware. In standard reinforcement learning, the interaction between an agent and the environment is based ...

The use of multi-agent systems to model and control complex domains is increasing. The application of multi-agent systems to distributed real-world domains motivates the development of domain independent agent architectures to foster the re-use of existing research. A domain independent agent architecture is defined as a set of representations, reasoning mechanisms and algorithms that can be us...

the main task of this work is related with the design of a class of siso robust control law for theregulation of substrate concentration (cdo) of an industrial activated sludge wastewater plant. the controldesign is related with an uncertainty estimator (reduced order observer) based active control. departing from the tracking error between the desired and the current substrate concentrations t...