Usage of Cognitive Architectures in the Development of Industrial Applications - Utilization of a General Cognitive Process in the Domain Building Automation

Cognitive architectures, which originate from the field of Artificial Intelligence, implement models for problem-solving and decision-making. These architectures have a wide room for implementation in industrial applications. The goal is to adapt a cognitive architecture to the demands of an application in the area of building automation. It is analyzed, why cognitive architectures are difficult to apply in industrial domain. The result of the analysis is a cognitive process, which is applied to an application in the building automation domain. The use of the architectures is demonstrated within a Java-based based middleware. There, the cognitive architecture is applied for the automatic generation and improvement of control strategies in building automation, which have the goal to minimize energy consumption with minimal reduction of the

[1]  John K. Tsotsos,et al.  A Review of 40 Years of Cognitive Architecture Research: Focus on Perception, Attention, Learning and Applications , 2016, ArXiv.

[2]  Giulio Sandini,et al.  A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational Agents , 2007, IEEE Transactions on Evolutionary Computation.

[3]  Pat Langley,et al.  Cognitive architectures: Research issues and challenges , 2009, Cognitive Systems Research.

[4]  D. Dietrich,et al.  New approach for controlling complex processes. An introduction to the 5th generation of AI , 2008, 2008 Conference on Human System Interactions.

[5]  F. Gobet,et al.  The CHREST Architecture of Cognition: The Role of Perception in General Intelligence , 2010, AGI 2010.

[6]  John R Anderson,et al.  An integrated theory of the mind. , 2004, Psychological review.

[7]  A. F. Adams,et al.  The Survey , 2021, Dyslexia in Higher Education.

[8]  B. Baars,et al.  LIDA: A Working Model of Cognition , 2006 .

[9]  R. Keene.  Artificial Cognition , 1993 .

[10]  Adrian R. Pearce,et al.  Plan Recognition in Military Simulation: Incorporating Machine Learning with Intelligent Agents , 1999 .

[11]  Bum-Jae You,et al.  Knowledge-based control of a humanoid robot , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[12]  Frank Dignum,et al.  Games and Agents: Designing Intelligent Gameplay , 2009, Int. J. Comput. Games Technol..

[13]  Guillermo Ricardo Simari,et al.  A BDI Architecture for High Level Robot Deliberation , 2010, Inteligencia Artif..

[14]  Stan Franklin,et al.  THE LIDA ARCHITECTURE: ADDING NEW MODES OF LEARNING TO AN INTELLIGENT, AUTONOMOUS, SOFTWARE AGENT , 2006 .