A cognitive agent architecture for feedback control scheme design

Abstract

We present a novel architecture for the design of feedback control schemes, aiming to automate the cognitive process performed by human experts when designing control schemes for certain systems. The work starts with the identification of types of cyber-physical components participating in a feedback control scheme. Each component is defined as a functional mapping between inputs-vectors and an output vector. The inputs and outputs are then mapped to a semantic space formed by linguistic variables that model the expert knowledge. These semantic annotations of the components are then exploited by a Cognitive Agent with semantic reasoning capabilities, to achieve the online configuration of a feedback control scheme, given a set of specifications and a database of available components' implementations. The adopted knowledge modelling and reasoning techniques are driven by past efforts of the World Wide Web Consortium on the semantic composition of Web services. The applicability of the method is tested via a paper-based enactment of a use-case from the smart buildings domain.

Intellectual Management - Cognitive Approach

“…Other researchers consider key to intelligence ability to accumulate knowledge, define aims, and plan actions [1]. At present a widely used notion of cognitive agent is such kind of agent that is learning the surrounding and modifying its actions to achieve the goals [2,3]. Cognitive agents capable of reaching goals in varying situations are a most perspective class of mathematical models of intelligent control [1][2][3][4][5][6].…”

“…At present a widely used notion of cognitive agent is such kind of agent that is learning the surrounding and modifying its actions to achieve the goals [2,3]. Cognitive agents capable of reaching goals in varying situations are a most perspective class of mathematical models of intelligent control [1][2][3][4][5][6]. A key principle of intelligent control is control based on knowledge [7].…”