1k
900
))
Hmmm there seems to be a problem fetching this series right now.
Last successful fetch was on April 22, 2025 14:35 (
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Paul S. Rosenbloom is a distinguished researcher in artificial intelligence (AI) and cognitive science, known for his contributions to unified theories of cognition and intelligent systems. His work primarily focuses on integrating diverse cognitive models into comprehensive frameworks that explain human and machine intelligence.
Rosenbloom played a key role in the development of Soar, a cognitive architecture designed for general intelligence. Originally developed alongside John Laird and Allen Newell, Soar remains influential in AI research, particularly in areas such as problem-solving, learning, and decision-making. His contributions to symbolic AI emphasize the importance of structured knowledge representation and reasoning in intelligent systems.
Beyond cognitive architectures, Rosenbloom has explored integrated AI approaches, advocating for models that combine reasoning, perception, and action into a unified system. His interdisciplinary work bridges cognitive psychology, neuroscience, and artificial intelligence, aiming to create AI that closely resembles human cognition. He has also contributed to discussions on the Common Model of Cognition, which seeks to standardize fundamental cognitive processes across different theories and architectures.
His research has broad implications for both AI development and cognitive science, influencing areas such as human-computer interaction, robotics, and machine learning. By investigating how cognitive models can inform artificial intelligence, Rosenbloom continues to shape the evolution of intelligent systems and their applications.
Kind regards J.O. Schneppat - Hybrid Quantum-Classical Machine Learning (HQML)
#ArtificialIntelligence #PaulRosenbloom #CognitiveScience #Soar #UnifiedTheoriesOfCognition #SymbolicAI #MachineLearning #CognitiveArchitecture #AIResearch #JohnLaird #AllenNewell #HumanLikeAI #IntegratedAI #CognitiveComputing #Neuroscience
22 episodes
Hmmm there seems to be a problem fetching this series right now.
Last successful fetch was on April 22, 2025 14:35 (
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Paul S. Rosenbloom is a distinguished researcher in artificial intelligence (AI) and cognitive science, known for his contributions to unified theories of cognition and intelligent systems. His work primarily focuses on integrating diverse cognitive models into comprehensive frameworks that explain human and machine intelligence.
Rosenbloom played a key role in the development of Soar, a cognitive architecture designed for general intelligence. Originally developed alongside John Laird and Allen Newell, Soar remains influential in AI research, particularly in areas such as problem-solving, learning, and decision-making. His contributions to symbolic AI emphasize the importance of structured knowledge representation and reasoning in intelligent systems.
Beyond cognitive architectures, Rosenbloom has explored integrated AI approaches, advocating for models that combine reasoning, perception, and action into a unified system. His interdisciplinary work bridges cognitive psychology, neuroscience, and artificial intelligence, aiming to create AI that closely resembles human cognition. He has also contributed to discussions on the Common Model of Cognition, which seeks to standardize fundamental cognitive processes across different theories and architectures.
His research has broad implications for both AI development and cognitive science, influencing areas such as human-computer interaction, robotics, and machine learning. By investigating how cognitive models can inform artificial intelligence, Rosenbloom continues to shape the evolution of intelligent systems and their applications.
Kind regards J.O. Schneppat - Hybrid Quantum-Classical Machine Learning (HQML)
#ArtificialIntelligence #PaulRosenbloom #CognitiveScience #Soar #UnifiedTheoriesOfCognition #SymbolicAI #MachineLearning #CognitiveArchitecture #AIResearch #JohnLaird #AllenNewell #HumanLikeAI #IntegratedAI #CognitiveComputing #Neuroscience
22 episodes
Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.
1k900
Share
