Cognitive Robotics Quiz

Cognitive Systems in Robotics

• Cognitive Robotics involves designing robots that can learn from experience, commit knowledge to memory, retrieve it as needed, and use it to select appropriate actions in pursuit of their goals.

• Two cognitive paradigms are GOFAI and New AI. GOFAI is computational, symbolic, and algorithmic, while New AI is connectionist, self-organizing, and embodied.

• The brain can be understood as a theatre, with consciousness as a bright spot on the stage. The Global Workspace Theory states that the stage corresponds to working memory.

• Autonomy implies autonomous decision making, which requires a reward function and motivation. Two competing views of motivation are extrinsic and intrinsic.

• Emotions are hypothesized to have a set of basic needs and goals as comparators, with appraisal mechanisms assessing situations in relation to them. Emotion drives action to meet needs.

• The Discrete Theory of Emotion hypothesizes a small number of basic emotions, while the Dimensional Approach maps a wide variety of emotions into a low-dimensional space.

• The OCC Model of Emotion is based on appraisal variables, with emotional consequences determined by whether events are undesirable or desirable, certain or uncertain, and caused by oneself or others.

• A computational model of emotion involves valence, appraisal, motivation/effort, motor command, and action intention.

• The MBDIAC Agent is based on mutual beliefs, desires, intentions, actions, and consequences.

• Distributed Adaptive Control (DAC) involves solving the H4W problem of how, why, what, where, and when to act in a distributed manner across the forebrain, brainstem, spinal cord, and periphery.

• MiRo is a biomimetic robot designed for edutainment purposes with cognitive capabilities.

• A biomimetic model of the rat hippocampus was developed to test the DAC approach to cognitive systems.Lecture on Cognition, Cognitive Architectures, and Robotics

• The text is a transcript of a lecture on robotics and cognitive architectures.

• The lecture covers topics such as cognition, behavior, motivation, emotion, and control in robotics.

• The speaker discusses Maslow's hierarchy of needs and how it relates to intrinsic and extrinsic motivation in robots.

• Theories of emotion, including cognitive appraisal theory and the OCC model, are also discussed.

• The speaker presents a computational model of emotion and distributed adaptive control in robotics.

• MiRo, a robotic platform, is introduced as an example of a robot with a vocalization system.

• The lecture encourages questions and discussion on the concepts presented.

• The next lecture is announced to cover interactive systems in robotics.

• The lecture was given in the context of a course on robotics (COM2009-3009) at the University of Sheffield.

• The course likely includes hands-on experience with robotics and programming.

• The lecture is part of a broader field of research on cognitive robotics.

• The goal of cognitive robotics is to create intelligent, adaptive robots that can interact with humans and their environment.

Cognitive Systems in Robotics

• Cognitive Robotics involves designing robots that can learn from experience, commit knowledge to memory, retrieve it as needed, and use it to select appropriate actions in pursuit of their goals.

• Two cognitive paradigms are GOFAI and New AI. GOFAI is computational, symbolic, and algorithmic, while New AI is connectionist, self-organizing, and embodied.

• The brain can be understood as a theatre, with consciousness as a bright spot on the stage. The Global Workspace Theory states that the stage corresponds to working memory.

• Autonomy implies autonomous decision making, which requires a reward function and motivation. Two competing views of motivation are extrinsic and intrinsic.

• Emotions are hypothesized to have a set of basic needs and goals as comparators, with appraisal mechanisms assessing situations in relation to them. Emotion drives action to meet needs.

• The Discrete Theory of Emotion hypothesizes a small number of basic emotions, while the Dimensional Approach maps a wide variety of emotions into a low-dimensional space.

• The OCC Model of Emotion is based on appraisal variables, with emotional consequences determined by whether events are undesirable or desirable, certain or uncertain, and caused by oneself or others.

• A computational model of emotion involves valence, appraisal, motivation/effort, motor command, and action intention.

• The MBDIAC Agent is based on mutual beliefs, desires, intentions, actions, and consequences.

• Distributed Adaptive Control (DAC) involves solving the H4W problem of how, why, what, where, and when to act in a distributed manner across the forebrain, brainstem, spinal cord, and periphery.

• MiRo is a biomimetic robot designed for edutainment purposes with cognitive capabilities.

• A biomimetic model of the rat hippocampus was developed to test the DAC approach to cognitive systems.Lecture on Cognition, Cognitive Architectures, and Robotics

• The text is a transcript of a lecture on robotics and cognitive architectures.

• The lecture covers topics such as cognition, behavior, motivation, emotion, and control in robotics.

• The speaker discusses Maslow's hierarchy of needs and how it relates to intrinsic and extrinsic motivation in robots.

• Theories of emotion, including cognitive appraisal theory and the OCC model, are also discussed.

• The speaker presents a computational model of emotion and distributed adaptive control in robotics.

• MiRo, a robotic platform, is introduced as an example of a robot with a vocalization system.

• The lecture encourages questions and discussion on the concepts presented.

• The next lecture is announced to cover interactive systems in robotics.

• The lecture was given in the context of a course on robotics (COM2009-3009) at the University of Sheffield.

• The course likely includes hands-on experience with robotics and programming.

• The lecture is part of a broader field of research on cognitive robotics.

• The goal of cognitive robotics is to create intelligent, adaptive robots that can interact with humans and their environment.

Cognitive Systems in Robotics

• Cognitive Robotics involves designing robots that can learn from experience, commit knowledge to memory, retrieve it as needed, and use it to select appropriate actions in pursuit of their goals.

• Two cognitive paradigms are GOFAI and New AI. GOFAI is computational, symbolic, and algorithmic, while New AI is connectionist, self-organizing, and embodied.

• The brain can be understood as a theatre, with consciousness as a bright spot on the stage. The Global Workspace Theory states that the stage corresponds to working memory.

• Autonomy implies autonomous decision making, which requires a reward function and motivation. Two competing views of motivation are extrinsic and intrinsic.

• Emotions are hypothesized to have a set of basic needs and goals as comparators, with appraisal mechanisms assessing situations in relation to them. Emotion drives action to meet needs.

• The Discrete Theory of Emotion hypothesizes a small number of basic emotions, while the Dimensional Approach maps a wide variety of emotions into a low-dimensional space.

• The OCC Model of Emotion is based on appraisal variables, with emotional consequences determined by whether events are undesirable or desirable, certain or uncertain, and caused by oneself or others.

• A computational model of emotion involves valence, appraisal, motivation/effort, motor command, and action intention.

• The MBDIAC Agent is based on mutual beliefs, desires, intentions, actions, and consequences.

• Distributed Adaptive Control (DAC) involves solving the H4W problem of how, why, what, where, and when to act in a distributed manner across the forebrain, brainstem, spinal cord, and periphery.

• MiRo is a biomimetic robot designed for edutainment purposes with cognitive capabilities.

• A biomimetic model of the rat hippocampus was developed to test the DAC approach to cognitive systems.Lecture on Cognition, Cognitive Architectures, and Robotics

• The text is a transcript of a lecture on robotics and cognitive architectures.

• The lecture covers topics such as cognition, behavior, motivation, emotion, and control in robotics.

• The speaker discusses Maslow's hierarchy of needs and how it relates to intrinsic and extrinsic motivation in robots.

• Theories of emotion, including cognitive appraisal theory and the OCC model, are also discussed.

• The speaker presents a computational model of emotion and distributed adaptive control in robotics.

• MiRo, a robotic platform, is introduced as an example of a robot with a vocalization system.

• The lecture encourages questions and discussion on the concepts presented.

• The next lecture is announced to cover interactive systems in robotics.

• The lecture was given in the context of a course on robotics (COM2009-3009) at the University of Sheffield.

• The course likely includes hands-on experience with robotics and programming.

• The lecture is part of a broader field of research on cognitive robotics.

• The goal of cognitive robotics is to create intelligent, adaptive robots that can interact with humans and their environment.

Cognitive Systems in Robotics

• Cognitive Robotics involves designing robots that can learn from experience, commit knowledge to memory, retrieve it as needed, and use it to select appropriate actions in pursuit of their goals.

• Two cognitive paradigms are GOFAI and New AI. GOFAI is computational, symbolic, and algorithmic, while New AI is connectionist, self-organizing, and embodied.

• The brain can be understood as a theatre, with consciousness as a bright spot on the stage. The Global Workspace Theory states that the stage corresponds to working memory.

• Autonomy implies autonomous decision making, which requires a reward function and motivation. Two competing views of motivation are extrinsic and intrinsic.

• Emotions are hypothesized to have a set of basic needs and goals as comparators, with appraisal mechanisms assessing situations in relation to them. Emotion drives action to meet needs.

• The Discrete Theory of Emotion hypothesizes a small number of basic emotions, while the Dimensional Approach maps a wide variety of emotions into a low-dimensional space.

• The OCC Model of Emotion is based on appraisal variables, with emotional consequences determined by whether events are undesirable or desirable, certain or uncertain, and caused by oneself or others.

• A computational model of emotion involves valence, appraisal, motivation/effort, motor command, and action intention.

• The MBDIAC Agent is based on mutual beliefs, desires, intentions, actions, and consequences.

• Distributed Adaptive Control (DAC) involves solving the H4W problem of how, why, what, where, and when to act in a distributed manner across the forebrain, brainstem, spinal cord, and periphery.

• MiRo is a biomimetic robot designed for edutainment purposes with cognitive capabilities.

• A biomimetic model of the rat hippocampus was developed to test the DAC approach to cognitive systems.Lecture on Cognition, Cognitive Architectures, and Robotics

• The text is a transcript of a lecture on robotics and cognitive architectures.

• The lecture covers topics such as cognition, behavior, motivation, emotion, and control in robotics.

• The speaker discusses Maslow's hierarchy of needs and how it relates to intrinsic and extrinsic motivation in robots.

• Theories of emotion, including cognitive appraisal theory and the OCC model, are also discussed.

• The speaker presents a computational model of emotion and distributed adaptive control in robotics.

• MiRo, a robotic platform, is introduced as an example of a robot with a vocalization system.

• The lecture encourages questions and discussion on the concepts presented.

• The next lecture is announced to cover interactive systems in robotics.

• The lecture was given in the context of a course on robotics (COM2009-3009) at the University of Sheffield.

• The course likely includes hands-on experience with robotics and programming.

• The lecture is part of a broader field of research on cognitive robotics.

• The goal of cognitive robotics is to create intelligent, adaptive robots that can interact with humans and their environment.