Knowledge Representation and Reasoning in AI: Analyzing Different Approaches to Knowledge Representation and Reasoning in Artificial Intelligence Systems
Keywords:
Knowledge representation, reasoning, artificial intelligence, logic-based representations, semantic networks, neural networks, probabilistic graphical models, hybrid approaches, deep learning, explainable AI, knowledge graphsAbstract
Knowledge representation and reasoning are fundamental aspects of artificial intelligence, enabling machines to store, process, and utilize knowledge to make intelligent decisions. This paper provides an in-depth analysis of various approaches to knowledge representation and reasoning in AI systems. We explore symbolic approaches such as logic-based representations and semantic networks, as well as non-symbolic approaches like neural networks and probabilistic graphical models. Additionally, we discuss hybrid approaches that combine symbolic and non-symbolic techniques. The paper also examines challenges and future directions in knowledge representation and reasoning, including the integration of deep learning with symbolic reasoning, explainable AI, and the use of knowledge graphs for enhanced reasoning.
References
Pargaonkar, Shravan. "A Review of Software Quality Models: A Comprehensive Analysis." Journal of Science & Technology 1.1 (2020): 40-53.
Ding, Liang, et al. "Understanding and improving lexical choice in non-autoregressive translation." arXiv preprint arXiv:2012.14583 (2020).
Singh, Amarjeet, et al. "Improving Business deliveries using Continuous Integration and Continuous Delivery using Jenkins and an Advanced Version control system for Microservices-based system." 2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT). IEEE, 2022.
Ding, Liang, Di Wu, and Dacheng Tao. "Improving neural machine translation by bidirectional training." arXiv preprint arXiv:2109.07780 (2021).
Raparthi, Mohan, Sarath Babu Dodda, and SriHari Maruthi. "Examining the use of Artificial Intelligence to Enhance Security Measures in Computer Hardware, including the Detection of Hardware-based Vulnerabilities and Attacks." European Economic Letters (EEL) 10.1 (2020).
Pargaonkar, Shravan. "Bridging the Gap: Methodological Insights from Cognitive Science for Enhanced Requirement Gathering." Journal of Science & Technology 1.1 (2020): 61-66.
Raparthi, Mohan, Sarath Babu Dodda, and Srihari Maruthi. "AI-Enhanced Imaging Analytics for Precision Diagnostics in Cardiovascular Health." European Economic Letters (EEL) 11.1 (2021).
Ding, Liang, Longyue Wang, and Dacheng Tao. "Self-attention with cross-lingual position representation." arXiv preprint arXiv:2004.13310 (2020).
Pargaonkar, Shravan. "Future Directions and Concluding Remarks Navigating the Horizon of Software Quality Engineering." Journal of Science & Technology 1.1 (2020): 67-81.
Raparthi, Mohan, et al. "AI-Driven Metabolmics for Precision Nutrition: Tailoring Dietary Recommendations based on Individual Health Profiles." European Economic Letters (EEL) 12.2 (2022): 172-179.
Pargaonkar, Shravan. "Quality and Metrics in Software Quality Engineering." Journal of Science & Technology 2.1 (2021): 62-69.
Ding, Liang, et al. "Rejuvenating low-frequency words: Making the most of parallel data in non-autoregressive translation." arXiv preprint arXiv:2106.00903 (2021).
Reddy, Byrapu, and Surendranadha Reddy. "Demonstrating The Payroll Reviews Based On Data Visualization For Financial Services." Tuijin Jishu/Journal of Propulsion Technology 44.4 (2023): 3886-3893.
Singh, Amarjeet, et al. "Event Driven Architecture for Message Streaming data driven Microservices systems residing in distributed version control system." 2022 International Conference on Innovations in Science and Technology for Sustainable Development (ICISTSD). IEEE, 2022.
Pargaonkar, Shravan. "The Crucial Role of Inspection in Software Quality Assurance." Journal of Science & Technology 2.1 (2021): 70-77.
Reddy, B., & Reddy, S. (2023). Demonstrating The Payroll Reviews Based On Data Visualization For Financial Services. Tuijin Jishu/Journal of Propulsion Technology, 44(4), 3886-3893.
Ding, Liang, et al. "Context-aware cross-attention for non-autoregressive translation." arXiv preprint arXiv:2011.00770 (2020).
Pargaonkar, Shravan. "Unveiling the Future: Cybernetic Dynamics in Quality Assurance and Testing for Software Development." Journal of Science & Technology 2.1 (2021): 78-84.
Nalluri, Mounika, et al. "Investigate The Use Of Robotic Process Automation (RPA) To Streamline Administrative Tasks In Healthcare, Such As Billing, Appointment Scheduling, And Claims Processing." Tuijin Jishu/Journal of Propulsion Technology 44.5 (2023): 2458-2468.
Ding, Liang, et al. "Redistributing low-frequency words: Making the most of monolingual data in non-autoregressive translation." Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2022.
Nalluri, M., Reddy, S. R. B., Rongali, A. S., & Polireddi, N. S. A. (2023). Investigate The Use Of Robotic Process Automation (RPA) To Streamline Administrative Tasks In Healthcare, Such As Billing, Appointment Scheduling, And Claims Processing. Tuijin Jishu/Journal of Propulsion Technology, 44(5), 2458-2468.
Pargaonkar, Shravan. "Unveiling the Challenges, A Comprehensive Review of Common Hurdles in Maintaining Software Quality." Journal of Science & Technology 2.1 (2021): 85-94.
Nalluri, Mounika, and Surendranadha Reddy Byrapu Reddy. "babu Mupparaju, C., & Polireddi, NSA (2023). The Role, Application And Critical Issues Of Artificial Intelligence In Digital Marketing." Tuijin Jishu/Journal of Propulsion Technology 44.5: 2446-2457.
Pargaonkar, S. (2020). A Review of Software Quality Models: A Comprehensive Analysis. Journal of Science & Technology, 1(1), 40-53.
Nalluri, M., & Reddy, S. R. B. babu Mupparaju, C., & Polireddi, NSA (2023). The Role, Application And Critical Issues Of Artificial Intelligence In Digital Marketing. Tuijin Jishu/Journal of Propulsion Technology, 44(5), 2446-2457.
Singh, A., Singh, V., Aggarwal, A., & Aggarwal, S. (2022, November). Improving Business deliveries using Continuous Integration and Continuous Delivery using Jenkins and an Advanced Version control system for Microservices-based system. In 2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) (pp. 1-4). IEEE.
Raparthi, M., Dodda, S. B., & Maruthi, S. (2020). Examining the use of Artificial Intelligence to Enhance Security Measures in Computer Hardware, including the Detection of Hardware-based Vulnerabilities and Attacks. European Economic Letters (EEL), 10(1).
Pargaonkar, S. (2020). Bridging the Gap: Methodological Insights from Cognitive Science for Enhanced Requirement Gathering. Journal of Science & Technology, 1(1), 61-66.
Nalluri, Mounika, et al. "Explore The Application Of Machine Learning Algorithms To Analyze Genetic And Clinical Data To Tailor Treatment Plans For Individual Patients." Tuijin Jishu/Journal of Propulsion Technology 44.5 (2023): 2505-2513.
Raparthi, M., Dodda, S. B., & Maruthi, S. (2021). AI-Enhanced Imaging Analytics for Precision Diagnostics in Cardiovascular Health. European Economic Letters (EEL), 11(1).
Nalluri, M., Reddy, S. R. B., Pulimamidi, R., & Buddha, G. P. (2023). Explore The Application Of Machine Learning Algorithms To Analyze Genetic And Clinical Data To Tailor Treatment Plans For Individual Patients. Tuijin Jishu/Journal of Propulsion Technology, 44(5), 2505-2513.
Singh, A., Singh, V., Aggarwal, A., & Aggarwal, S. (2022, August). Event Driven Architecture for Message Streaming data driven Microservices systems residing in distributed version control system. In 2022 International Conference on Innovations in Science and Technology for Sustainable Development (ICISTSD) (pp. 308-312). IEEE.
Pargaonkar, S. (2020). Future Directions and Concluding Remarks Navigating the Horizon of Software Quality Engineering. Journal of Science & Technology, 1(1), 67-81.
Pargaonkar, S. (2021). Quality and Metrics in Software Quality Engineering. Journal of Science & Technology, 2(1), 62-69.
Byrapu, Surendranadha Reddy. "Big Data Analysis in Finance Management." JOURNAL OF ALGEBRAIC STATISTICS 14.1 (2023): 142-149.
Pargaonkar, S. (2021). The Crucial Role of Inspection in Software Quality Assurance. Journal of Science & Technology, 2(1), 70-77.
Raparthi, Mohan. "Predictive Maintenance in Manufacturing: Deep Learning for Fault Detection in Mechanical Systems." Dandao Xuebao/Journal of Ballistics 35: 59-66.
Byrapu, S. R. (2023). Big Data Analysis in Finance Management. JOURNAL OF ALGEBRAIC STATISTICS, 14(1), 142-149.
Pargaonkar, S. (2021). Unveiling the Future: Cybernetic Dynamics in Quality Assurance and Testing for Software Development. Journal of Science & Technology, 2(1), 78-84.
Raparthi, Mohan. "Biomedical Text Mining for Drug Discovery Using Natural Language Processing and Deep Learning." Dandao Xuebao/Journal of Ballistics 35.
Raparthi, M., Maruthi, S., Dodda, S. B., & Reddy, S. R. B. (2022). AI-Driven Metabolmics for Precision Nutrition: Tailoring Dietary Recommendations based on Individual Health Profiles. European Economic Letters (EEL), 12(2), 172-179.
Pargaonkar, S. (2021). Unveiling the Challenges, A Comprehensive Review of Common Hurdles in Maintaining Software Quality. Journal of Science & Technology, 2(1), 85-94.
Raparthy, Mohan, and Babu Dodda. "Predictive Maintenance in IoT Devices Using Time Series Analysis and Deep Learning." Dandao Xuebao/Journal of Ballistics 35: 01-10.
Alami, Rachid, Hamzah Elrehail, and Amro Alzghoul. "Reducing cognitive dissonance in health care: Design of a new Positive psychology intervention tool to regulate professional stress among nurses." 2022 International Conference on Cyber Resilience (ICCR). IEEE, 2022.
Alami, Rachid. "Paradoxes and cultural challenges: case of Moroccan manager returnees and comparison with Chinese returnees." International Journal of Management Development 1.3 (2016): 215-228.
Alami, Rachid. "Innovation challenges: Paradoxes and opportunities in China." The ISM Journal of International Business 1.1 (2010): 1G.
Aroussi, Rachid Alami, et al. "Women Leadership during Crisis: How the COVID-19 Pandemic Revealed Leadership Effectiveness of Women Leaders in the UAE." Migration Letters 21.3 (2024): 100-120.
Bodimani, Meghasai. "AI and Software Engineering: Rapid Process Improvement through Advanced Techniques." Journal of Science & Technology 2.1 (2021): 95-119.
Bodimani, Meghasai. "Assessing The Impact of Transparent AI Systems in Enhancing User Trust and Privacy." Journal of Science & Technology 5.1 (2024): 50-67.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
License Terms
Ownership and Licensing:
Authors of this research paper submitted to the journal owned and operated by The Science Brigade Group retain the copyright of their work while granting the journal certain rights. Authors maintain ownership of the copyright and have granted the journal a right of first publication. Simultaneously, authors agreed to license their research papers under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
License Permissions:
Under the CC BY-NC-SA 4.0 License, others are permitted to share and adapt the work, as long as proper attribution is given to the authors and acknowledgement is made of the initial publication in the Journal. This license allows for the broad dissemination and utilization of research papers.
Additional Distribution Arrangements:
Authors are free to enter into separate contractual arrangements for the non-exclusive distribution of the journal's published version of the work. This may include posting the work to institutional repositories, publishing it in journals or books, or other forms of dissemination. In such cases, authors are requested to acknowledge the initial publication of the work in this Journal.
Online Posting:
Authors are encouraged to share their work online, including in institutional repositories, disciplinary repositories, or on their personal websites. This permission applies both prior to and during the submission process to the Journal. Online sharing enhances the visibility and accessibility of the research papers.
Responsibility and Liability:
Authors are responsible for ensuring that their research papers do not infringe upon the copyright, privacy, or other rights of any third party. The Science Brigade Publishers disclaim any liability or responsibility for any copyright infringement or violation of third-party rights in the research papers.
