This paper outlines an abridged history of agents as a guide for the reader to understand the
trends and directions of future agent design. This description includes how agent …

In this paper, we propose a neural network (NN)-based multi-agent classifier system (MACS)
using the trust, negotiation, and communication (TNC) reasoning model. The main …

Extreme Learning Machine improved the iterative procedures of adjusting weights by
randomly selecting hidden neurons besides analytically determining the output weights. In …

This paper presents an implementation of Extreme Learning Machine (ELM) in the Multi-
Agent System (MAS). The proposed method is a trust measurement approach namely …

In this paper, we propose a Multi-Agent Classifier (MAC) system based on the Trust-
Negotiation-Communication (TNC) model. A novel trust measurement method, based on the …

This paper presents an implementation of Extreme Learning Machine (ELM) in the Multi-
Agent System (MAS). The proposed method is a trust measurement approach namely …

A trust measurement method called certified belief in strength (CBS) for Extreme Learning
Machine (ELM) Multi Agent Systems (MAS) is proposed in this paper. The CBS method is …

In this paper, we propose a Multi-Agent Classifier (MAC) system based on the Trust,
Negotiation, and Communication (TNC) model. A novel trust measurement method, based …