Artificial institutions: a model of institutional reality for open multiagent systems

{In multi-agent systems, artificial institutions connect institutional concepts, belonging to the institutional reality, to the concrete elements that compose the system. The institutional reality is composed of a set of institutional concepts, called Status-Functions. Current works on artificial institutions focus on identifying the status-functions and connecting them to the concrete elements. However, the functions associated with the status-functions are implicit. As a consequence, the agents cannot reason about the functions provided by the elements that carry the status-functions and, thus, cannot exploit these functions to satisfy their goals. Considering this problem, this paper proposes a model to express the functions -- or the purposes -- associated with the status-functions. Examples illustrate the application of the model in a practical scenario, showing how the agents can use purposes to reason about the satisfaction of their goals in institutional contexts.

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Co-evolution of Hetero Multiagent Systems using Genetic Network Programming.

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.123.544 ◽

2003 ◽

Vol 123 (3) ◽

pp. 544-551 ◽

Cited By ~ 1

Author(s):

Kotaro Hirasawa ◽

Masafumi Okubo ◽

Jinglu Hu ◽

Junichi Murata ◽

Yuko Matsuya

Keyword(s):

Multiagent Systems ◽

Genetic Network ◽

Network Programming ◽

Genetic Network Programming

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Secure consensus of multiagent systems with input saturation and DoS attacks

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9188364 ◽

2020 ◽

Author(s):

Shengli Du ◽

Qiushuo Yan ◽

Yongfeng Gao ◽

Caixia Wang

Keyword(s):

Multiagent Systems ◽

Input Saturation ◽

Dos Attacks

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Partial Component Consensus of Discrete-Time Multiagent Systems

Mathematical Problems in Engineering ◽

10.1155/2019/4725418 ◽

2019 ◽

Vol 2019 ◽

pp. 1-5

Author(s):

Wenjun Hu ◽

Gang Zhang ◽

Zhongjun Ma ◽

Binbin Wu

Keyword(s):

Multiagent Systems ◽

Discrete Time ◽

Matrix Theory ◽

Pinning Control ◽

Directed Network ◽

Strong Function ◽

Partial Stability ◽

Partial Component ◽

The Matrix ◽

Error System

The multiagent system has the advantages of simple structure, strong function, and cost saving, which has received wide attention from different fields. Consensus is the most basic problem in multiagent systems. In this paper, firstly, the problem of partial component consensus in the first-order linear discrete-time multiagent systems with the directed network topology is discussed. Via designing an appropriate pinning control protocol, the corresponding error system is analyzed by using the matrix theory and the partial stability theory. Secondly, a sufficient condition is given to realize partial component consensus in multiagent systems. Finally, the numerical simulations are given to illustrate the theoretical results.

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