An adaptive casteship mechanism for developing multi-agent systems

نویسندگان

  • XinJun Mao
  • Lijun Shan
  • Hong Zhu
  • Ji Wang
چکیده

In this paper, we propose an adaptive casteship mechanism for modelling and designing adaptive Multi-Agent Systems (MAS). In our approach, caste is the modular unit and abstraction that specify agents’ behaviour. Adaptive behaviours of agents are captured as the change of castes during their lifecycles by executing ‘join’, ‘quit’, ‘activate’ and ‘deactivate’ operations on castes. The formal semantics of caste operations are rigorously defined. The properties of agent’s adaptive behaviours are formally specified and proved. A graphical notation of caste transition diagrams and a number of rules for check consistency are designed. An example is also presented throughout the paper.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Dynamic Casteship Mechanism for Modeling and Designing Adaptive Agents

It is still a challenge to develop complex multiagent systems with agents that typically exhibit adaptation to various behaviors in different situations. In this paper, we propose an extension of the dynamic casteship mechanism for modeling and designing adaptive agents. In our approach, caste is the modular unit in the design and implementation of multi–agent systems and provides an abstractio...

متن کامل

Developing Self-adaptive Melody Search Algorithm for Optimal Operation of Multi-reservoir Systems

Operation of multi-reservoir systems is known as complicated and often large-scale optimization problems. The problems, because of broad search space, nonlinear relationships, correlation of several variables, as well as problem uncertainty, are difficult requiring powerful algorithms with specific capabilities to be solved. In the present study a Self-adaptive version of Melody Search algorith...

متن کامل

Optimal adaptive leader-follower consensus of linear multi-agent systems: Known and unknown dynamics

In this paper, the optimal adaptive leader-follower consensus of linear continuous time multi-agent systems is considered. The error dynamics of each player depends on its neighbors’ information. Detailed analysis of online optimal leader-follower consensus under known and unknown dynamics is presented. The introduced reinforcement learning-based algorithms learn online the approximate solution...

متن کامل

Adaptive Neural Network Method for Consensus Tracking of High-Order Mimo Nonlinear Multi-Agent Systems

This paper is concerned with the consensus tracking problem of high order MIMO nonlinear multi-agent systems. The agents must follow a leader node in presence of unknown dynamics and uncertain external disturbances. The communication network topology of agents is assumed to be a fixed undirected graph. A distributed adaptive control method is proposed to solve the consensus problem utilizing re...

متن کامل

Adaptive neural control of nonlinear fractional order multi- agent systems in the presence of error constraintion

In this paper, the problem of fractional order multi-agent tracking control problem is considered. External disturbances, uncertainties, error constraints, transient response suitability and desirable response tracking problems are the challenges in this study. Because of these problems and challenges, an adaptive control and neural estimator approaches are used in this study. In the first part...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • IJCAT

دوره 31  شماره 

صفحات  -

تاریخ انتشار 2008