All fundamental unsolved problems of AGI are concentrated in two elements of the scheme: 'Concept Formation' and 'Pattern Learning'.
For both, 'neuro-components' involvement in the design does not promise anything new. The search for patterns (and, in particular, the search for cause-and-effect relationships), essentially a combinatorial task, requires the generation of hypotheses with their subsequent testing. Finding a niche here for the useful use of a neural network is at least difficult.
In the task of forming concepts, neural networks can be used as a detector of those predetermined primitive basic features of the observed reality - but this is quite feasible in other ("classical") ways.
It sounds great (except the part about Neural Nets and a few others). How does it compare with English? To be cruel, English hits it out of the park. You have described its abilities using English - wouled you care to describe the abilities of English using INSA? Would you recommend that people learn INSA instead of English? If notwhy not? (Sorry, I mean any natural language used in an advanced society to describe new technology). What are you doing with figurative language - "raised the bar", "a bridge too far"? English is used by a billion people - how many people will end up using INSA? Will we be back to the bad old days of people effewctively programming things they don't understand? When you talk about Neural Networks, are you talking about directed resistor networks, or eal neual networks, that can turn themselves inside out. Are you committed to handling mental states - the hardest part of AGI will be explaining to a person why something is a good idea when they can''t understand why, because of their limitations. A deep knowledge of mental states (including irrationality and psychosis) will be necessary. If INSA is intended for a small subset, that;'s fine, but you need to say so.
All fundamental unsolved problems of AGI are concentrated in two elements of the scheme: 'Concept Formation' and 'Pattern Learning'.
For both, 'neuro-components' involvement in the design does not promise anything new. The search for patterns (and, in particular, the search for cause-and-effect relationships), essentially a combinatorial task, requires the generation of hypotheses with their subsequent testing. Finding a niche here for the useful use of a neural network is at least difficult.
In the task of forming concepts, neural networks can be used as a detector of those predetermined primitive basic features of the observed reality - but this is quite feasible in other ("classical") ways.
Hi Peter, is your graph RDF based? Does it use OWL? Curious.
Bette yet, could you please share a link that does describe the graph framework?
No, not RDF or OWL - we needed something more flexible and fine-grained. Unfortunately we don't have more pubic details.
Interesting
It sounds great (except the part about Neural Nets and a few others). How does it compare with English? To be cruel, English hits it out of the park. You have described its abilities using English - wouled you care to describe the abilities of English using INSA? Would you recommend that people learn INSA instead of English? If notwhy not? (Sorry, I mean any natural language used in an advanced society to describe new technology). What are you doing with figurative language - "raised the bar", "a bridge too far"? English is used by a billion people - how many people will end up using INSA? Will we be back to the bad old days of people effewctively programming things they don't understand? When you talk about Neural Networks, are you talking about directed resistor networks, or eal neual networks, that can turn themselves inside out. Are you committed to handling mental states - the hardest part of AGI will be explaining to a person why something is a good idea when they can''t understand why, because of their limitations. A deep knowledge of mental states (including irrationality and psychosis) will be necessary. If INSA is intended for a small subset, that;'s fine, but you need to say so.