Cognitive Robotics: Enhancing Machine Intelligence for Autonomous Decision Making
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2: Cognitive science: Exploring the interdisciplinary science behind cognition and its role in robotics.
3: Subsumption architecture: Understanding how simple behaviors combine for complex actions in robots.
4: Artificial consciousness: Examining the controversial topic of whether machines can achieve consciousness.
5: Symbolic artificial intelligence: Discussing symbolic AI and its applications in cognitive robotics.
6: Cognitive model: Introducing models that mimic human cognitive processes for robotic design.
7: Soar (cognitive architecture): Delving into the Soar architecture and its role in intelligent decisionmaking.
8: Developmental robotics: Exploring how robots can learn from their environment, similar to human development.
9: Cognitive architecture: Understanding the structures that support robotic cognition and problemsolving.
10: Intelligent agent: Defining intelligent agents and their behavior within autonomous systems.
11: Embodied cognitive science: Investigating how cognition is linked to physical embodiment in robotics.
12: Enactivism: Introducing the theory of cognition that emphasizes interaction with the environment.
13: Moravec's paradox: Analyzing the gap between highlevel reasoning and lowlevel physical tasks in robotics.
14: Neurorobotics: Exploring the integration of neural models into robotic systems for advanced cognition.
15: Object Action Complex: Understanding how robots recognize and interact with objects in dynamic environments.
16: LIDA (cognitive architecture): An indepth look at the LIDA model and its applications in cognitive robotics.
17: Situated approach (artificial intelligence): Examining how AI adapts and operates in realworld settings.
18: Embodied cognition: Highlighting how physical presence and sensory feedback impact robotic intelligence.
19: Predictive coding: Understanding how robots use prediction to interpret sensory information and guide actions.
20: Cognitive neuroscience: Exploring how insights from neuroscience influence robotic cognitive architectures.
21: Cognition: A comprehensive review of cognition and its application to the design of intelligent robots.
