Cognitive Architectures - Modeling Human-like Intelligence: Studying cognitive architectures to model human-like intelligence and cognitive processes in AI systems
Keywords:
Human-like intelligence, Learning, ReasoningAbstract
Cognitive architectures play a pivotal role in modeling human-like intelligence and cognitive processes in artificial intelligence (AI) systems. These architectures serve as the foundational framework for understanding and implementing complex cognitive functions such as perception, learning, reasoning, and decision-making. This research paper explores various cognitive architectures, their underlying principles, and their applications in creating intelligent systems. By examining the strengths and limitations of existing cognitive architectures, this paper aims to provide insights into the future development of AI systems that exhibit human-like intelligence.
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References
Tatineni, Sumanth. "Cloud-Based Reliability Engineering: Strategies for Ensuring High Availability and Performance." International Journal of Science and Research (IJSR) 12.11 (2023): 1005-1012.
Vemori, Vamsi. "From Tactile Buttons to Digital Orchestration: A Paradigm Shift in Vehicle Control with Smartphone Integration and Smart UI–Unveiling Cybersecurity Vulnerabilities and Fortifying Autonomous Vehicles with Adaptive Learning Intrusion Detection Systems." African Journal of Artificial Intelligence and Sustainable Development3.1 (2023): 54-91.
Tatineni, Sumanth. "Federated Learning for Privacy-Preserving Data Analysis: Applications and Challenges." International Journal of Computer Engineering and Technology 9.6 (2018).
Vemori, Vamsi. "Towards a Driverless Future: A Multi-Pronged Approach to Enabling Widespread Adoption of Autonomous Vehicles-Infrastructure Development, Regulatory Frameworks, and Public Acceptance Strategies." Blockchain Technology and Distributed Systems 2.2 (2022): 35-59.
Tatineni, Sumanth. "Blockchain and Data Science Integration for Secure and Transparent Data Sharing." International Journal of Advanced Research in Engineering and Technology (IJARET) 10.3 (2019): 470-480.