LECTURE FIVE ARTIFICIAL NEURAL NETWORKS AND NEUROSEMANTICS 人工神经元网络以及神经语义学
ARTIFICIAL NEURAL NETWORKS AND NEUROSEMANTICS 人工神经元网络以及神经语义学
THE CONNECTIONS BETWEEN THIS LECTURE AND THE LAST ONE If eliminativism is right, then we cannot reduce types of mental states to anything else. That means, the natural kinds of any type of mental states cannot survive a strict implementation of an eliminativist program o Somehow similar to this case from an eliminativist perspective, the Great French Revolution is not a legitimate label which can pick out a single historical event. Rather, it should be viewed as a label attached to a loose collection of the behaviors of numerous individuals. Though historians need to rely on this label when the behaviors of individuals are epistemologically inaccessible to them; they also need to be prepared to abandon this label when new data are available
If eliminativism is right, then we cannot reduce types of mental states to anything else. That means, the natural kinds of any type of mental states cannot survive a strict implementation of an eliminativist program. Somehow similar to this case: from an eliminativist perspective, the Great French Revolution is not a legitimate label which can pick out a single historical event. Rather, it should be viewed as a label attached to a loose collection of the behaviors of numerous individuals. Though historians need to rely on this label when the behaviors of individuals are epistemologically inaccessible to them; they also need to be prepared to abandon this label when new data are available
SO THE MORAL IS Philosophers of mind and cognitive scientists need to be prepared to abandon the mental vocabulary when new data about humans neural systems are available
Philosophers of mind and cognitive scientists need to be prepared to abandon the mental vocabulary when new data about human’ s neural systems are available
THREE TASKS LEFTIN THE AGENDA 1. To learn something from Neuroscience To seek some possibility of making the neurological story more universal(with, say, the help of AI) 3. To try to reconstruct the mental architecture out of the findings in neural science and Al
1. To learn something from Neuroscience; 2. To seek some possibility of making the neurological story more universal (with, say, the help of AI) 3. To try to reconstruct the mental architecture out of the findings in neural science and AI
WHAT NEUROSCIENCE CAN TELL By definition,"Neurons are basic signaling units of the nervous system of a living being in which each neuron is a discrete cell whose several processes are from its cell bod The biological neuron has four main regions to its structure. The cell body, or soma. has two offshoots from it. The dendrites(树突 and the axon(轴突 end in pre-synaptic terminals(突触前末 is). The cell body is the heart of the cell It contains the nucleolus(细胞核)and maintains protein synthesis(蛋台质合 Ai). A neuron has many dendrites which look like a tree structure, receives signals from other neurons
By definition, “Neurons are basic signaling units of the nervous system of a living being in which each neuron is a discrete cell whose several processes are from its cell body” . The biological neuron has four main regions to its structure. The cell body, or soma, has two offshoots from it. The dendrites (树突)and the axon （轴突） end in pre-synaptic terminals（突触前末 端）. The cell body is the heart of the cell. It contains the nucleolus（细胞核） and maintains protein synthesis（蛋白质合 成）. A neuron has many dendrites, which look like a tree structure, receives signals from other neurons