%0 Journal Article %1 noauthororeditor %A Shiva, %A Vijayakumar, %D 2019 %J IJIRIS:: International Journal of Innovative Research in Information Security %K Conservation Energy Intelligence architecture artificial cognitive economics swarm %N Issue I %P 01-14 %R doi://10.26562/IJIRIS.2019.JAIS10080 %T SWARM INTELLIGENCE TECHNIQUES WITH CONSCIOUSNESS AND COMMONSENSE IN ARTIFICIAL ECONOMICS FOR ENERGY CONSERVATION IN ENRICHED COGNITIVE ARCHITECTURE %U http://www.ijiris.com/volumes/Vol6/iss01/01.JAIS10080.pdf %V Volume VI %X Energy conservation is the challenging issue in cognitive architecture are efficiently handled by adopting commonsense, consciousness concepts with swarm intelligence techniques. An Enriched ECACECC (Enriched Cognitive architecture for conservation of energy using consciousness & commonsense layer) is proposed and designed. A commonsense Strategy and proposed algorithm in cognitive architecture are implemented in simulated Testbed. The result of performance ore and crystal evaluation, The Life Expectancy of Cognition versus BDI Agents and commonsense, consciousness with Swarm agents and Consumption rate of Fungus and Ore Collection and life expectancy are discussed. The results obtain from ECACE are compare with Society of mind Approach for distributed cognitive architecture (SMCA) agent’s and shows that commonsense, consciousness with swarm agent’s performance is better than SMCA performance in energy conservation.

@article{noauthororeditor, abstract = {Energy conservation is the challenging issue in cognitive architecture are efficiently handled by adopting commonsense, consciousness concepts with swarm intelligence techniques. An Enriched ECACECC (Enriched Cognitive architecture for conservation of energy using consciousness & commonsense layer) is proposed and designed. A commonsense Strategy and proposed algorithm in cognitive architecture are implemented in simulated Testbed. The result of performance ore and crystal evaluation, The Life Expectancy of Cognition versus BDI Agents and commonsense, consciousness with Swarm agents and Consumption rate of Fungus and Ore Collection and life expectancy are discussed. The results obtain from ECACE are compare with Society of mind Approach for distributed cognitive architecture (SMCA) agent’s and shows that commonsense, consciousness with swarm agent’s performance is better than SMCA performance in energy conservation.}, added-at = {2019-01-22T16:11:00.000+0100}, author = {Shiva and Vijayakumar}, biburl = {https://www.bibsonomy.org/bibtex/2e35079390db0ea1d382b4a076c72e2c0/ijiris}, description = {The main purpose of this research is to understand, implement, and test the principles of human consciousness and commonsense in artificial economics of cognitive architecture. The research aims at proposing a self-configurable computational model of Enriched Cognitive architecture for conservation of energy using consciousness & commonsense layer for implementing and testing human consciousness and commonsense principles using a cognitive approach. The above cognitive architectures have simulated many cognitive tasks that are necessary for simulating consciousness on an agent. Hence, these architectures have a strong contribution towards the development of Enriched Cognitive architecture for conservation of energy using consciousness& commonsense layer (ECACCE), agent architecture proposed in this research work. The ECACCE proposed in this research paper has six layer architecture, the layers such as reflexive layer, reactive layer, deliberative layer, Swarm intelligence, consciousness and commonsense layer. The agents of each layer demonstrate different degree of commonsense and swarm intelligence techniques for the conservation of energy. This research work aims at building intelligent agents that are highly conscious of external world and adopt commonsense and consciousness strategies to respond in dynamic environments. The paper flow start with introduction of need of swarm intelligent in energy conservation for artificial economics in cognitive agent is discussed in section 1, followed by identified related works on swarm agent with energy conservation in section II, proposed ECACCE architecture in section III, Strategies for Commonsense Behaviour in ECACCE and Algorithm of Commonsense in ECACCE in section IV Experimental design, setup are discussed in section V, detail implementation Result discussion with graphs are shown in section VI , comparison of SMCA with ECACE swarm agent performance are show in section VII and followed by conclusion and further enhancement were discussed. }, doi = {doi://10.26562/IJIRIS.2019.JAIS10080}, interhash = {1c0321f87ae6c1c2fef56e620439881c}, intrahash = {e35079390db0ea1d382b4a076c72e2c0}, issn = {2393-9842}, journal = {IJIRIS:: International Journal of Innovative Research in Information Security}, keywords = {Conservation Energy Intelligence architecture artificial cognitive economics swarm}, language = {English, French}, month = {January 2019}, note = {1. 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Elaborates on ConceptNet, 2004. 7. John McCarthy, `Programs with Commonsense'', in Proceedings of the Teddington Conference on the Mechanization of Thought Processes, Her Majesty's Stationery Office, London1959, Reprinted in [McCarthy, 1990]. 8. Minsky M, The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind. Simon & Schuster, New York, 2006. 9. Shylaja. K.R, Dr. M.V.Vijaykumar, Dr. E.V. Prasad & Darryl. N. Davis, “Cognitive Architecture for evolving conscious actions into commonsense actions on Agents” presented at WCECS-2013, San Francisco, California, USA, October 2013. 10. Shylaja. K.R, Dr. M.V.Vijaykumar, Dr. E.V. Prasad & Darryl. N. Davis, “Consciousness and Commonsense Critics in Cognitive Architecture: Case study of Society of Mind Cognitive Architecture”, accepted by IJALR for upcoming edition, 2012. 11. Singh P, EM-ONE: Architecture for Reflective Commonsense Thinking, PhD Thesis, 2005. 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Searle, J., 1997, The mystery of consciousness, New York: New York Review Press. 23. Robin, Schmidt, Shamantics, 2007, Conscious Studies, online book, available at http://en.wikibooks.org/wiki/consciousness_studied.pdf 24. M.V Vijayakumar, 2008, Society of Mind Approach to Cognition and Metacognition in a Cognitive Architecture, PhD Thesis (University of Hull, UK, 2008). 25. K.R.Shylaja, M V Vijayakumar, E V Prasad and Darryl. N Davis, 2012, Consciousness and Common Sense critics in Cognitive Architectures: Case Study of Society of Mind Cognitive Architecture, IJALR 2012. 26. Jacoby, L. L., Yonelinas, A. P., & Jennings, J. M., 1997, The relation between conscious and unconscious (automatic) influences: A declaration of independence. In J. C. Cohen & J. W. Schooler (Eds.), Scientific approaches to consciousness (pp. 13–48). Mahwah, NJ: Erlbaum.}, number = {Issue I}, pages = {01-14}, timestamp = {2019-01-22T16:11:00.000+0100}, title = {SWARM INTELLIGENCE TECHNIQUES WITH CONSCIOUSNESS AND COMMONSENSE IN ARTIFICIAL ECONOMICS FOR ENERGY CONSERVATION IN ENRICHED COGNITIVE ARCHITECTURE}, url = {http://www.ijiris.com/volumes/Vol6/iss01/01.JAIS10080.pdf}, volume = {Volume VI}, year = 2019 }