Embodiment and AI

Topic 1Embodiment. One criticism of cognitive science and its approach to intelligence and mind (PSS orANN),is that it is too abstract; it does not treat the cognitive system as an embodied system. There are different strengths to this claim: almost anyone would agree that a truly adequate account of cognition would include the mind’s connections to the wider world, while some might argue that there is a “core” to cognition that in fact involves information processing that is internal to subjects. Develop a critique of disembodied cognition from the embodied perspective. Three readings are provided under the heading Topic1, Embodiment, in the written assignment section on Courselink. You should address the following three questions in your answer: [1] In what ways are both PSSs and ANNs thought to be too abstract or disembodied?[2] How is embodiment to be defined? Provide an example(there are a number discussed in the readings)as an illustration of some embodiment thesis.[3] Are their aspects of cognition that cannot be dealt with by an embodied approach?(See Wilson article in particular).Note: embodiment means different things to different researchers. Be clear about the meaning of “embodiment” you are discussing Topic 3. Real AI. Almost everyone paying attention to the current “memosphere”has heard about “Big Data” and about “Machine Learning.” The Google Pixel camera is powered by “AI” (aka “machine learning”). In so far as this constitutes a “revolution” it is because we know have access to massivedata sets, and to unsupervised learningalgorithms. The so called “cat paper,” [every AI researcher in the world knows what you mean if you say this]was one of the first demonstrations of this powerful unification of unsupervised learning algorithms and big data sets. Levesque, who refers to big data-machine learning as “AML” thinks there is much of value in this approach, but he does not believe it can replace GOFAI and its focus on common sense. He argues that GOFAI is the approach to take to achieve the “Real AI” mentioned in his title. Read Lévesque, pp45-100. See also the tworeadings provided under the heading for Real AI, in the written assignment section on Courselink. Your answer should address the following questions[1] What is AML and how does it work, in outline?[2] What is the GOFAI approach Levesque favors? [3] Why is GOFAI likely to lead to “real AI” and AML not likely to lead to “real AI”


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