A Knowledge Request-Broker Architecture for Development of Artificial Social Intelligence

Abstract

Artificial social intelligence is about making better intelligent systems out of a group of cooperating less intelligent problem solver agents. Better intelligence can be achieved by having expert agent with diverse expertise cooperating and working on the same problem. For that purpose a platform is required, which, in one hand, provides the freedom for developers to implement any form of solution in their agents, and in the other hand, facilitates mutual understanding between heterogeneous agents by standardizing the way they represent and inquire knowledge. While most published works are concerned with one or the other, the Knowledge Request Broker (KRB) system reported in this paper supports both requirements, and is made specifically for intelligent agents. This paper proposes an architecture for KRB, and provides a practical example for its usage in solving curve-fitting problems.

Synthetic design of a social regressor and its implementation using Knowledge Request-Broker Architecture

“…agents), Repast [11] (social simulation environment), SOARS [12] Although this topic is out of the scope of this paper, the implementation of social regression using KRBA is briefly explained. More details can be found in [13]. …”

Introducing A-Cell for Scalable and Portable SIMD Programming

“…A-Cell was originally designed to complement the Knowledge Request-Broker Architecture (KnoRBA) [14] in the area of high-performance computing. KnoRBA is a platformindependent and language-independent architecture for AgentBased Programming.…”