A few things come to my mind: 1. To what extent is learning and reasoning a sub topic of cognitive architectures? Is learning and reasoning a plugin to a cognitive architecture, or is in fact the whole cognitive architecture about learning and reasoning.
2. I would like a special topic on AGI goal representation. More specifically, a topic that discusses how a goal specified by any human designer, can be related to the world model and actions that an AGI system creates? For example, how can the human specified goal, be related to a knowledge representation that is constantly developed by the AGI system? 3. Why do AI/AGI researchers always talk about *"knowledge representation".*It gives such a strong bias towards static or useless knowledge bases. Why not talk more about *"World modelling"*. Because of the more active meaning of the word "modelling" as opposed to "representation", it implies that things such as inference etc. need to be considered. Since the word "modelling" is also used to denote the process of creating a model, it also implies that we need mechanisms for learning. I really think we should consider if not "knowledge representation" is a concept straightly borrowed from dumb-narrow AI, or if it really is a key concept for AGI. Sure enough, there will always be knowledge representation, but the question is whether it is an important/relevant/sufficient/misleading concept for AGI. 4. In fact. I would suggest that AGI researchers start to distinguish themselves from narrow AGI by replacing the over ambiguous concepts from AI, one by one. For example: knowledge representation = world model. learning = world model creation reasoning = world model simulation goal = life goal (to indicate that we have the ambition of building something really alive) If we say something like "world model creation", it seems pretty obvious that we do not mean anything like just tweaking a few bits in some function. 2. I am thinking of whether it would be a good idea with a topic like "methods for quelling combinatorial explosions in AGI world model processes". That topic could outline basic principles like meta-adaptation and parallelisation of adaptation (meaning that the AGI system needs to separate objects in reality that can be studied separatley). Like someone mentioned, such principles might be overly simple to many already in the field, and thereby not worth mentioning, but if we aim at writing documents for beginners, we really need to get the basics right. Simple/basic principles are still interesting, as long as they are not narrow. Maybe Ben Goertzel could add some more difficoult material under such a topic also. Hope any of these ideas could could be helpful. Thanks. /R 2008/3/26, Ben Goertzel <[EMAIL PROTECTED]>: > > BTW I improved the hierarchical organization of the TOC a bit, to > remove the impression that it's just a random grab-bag of topics... > > > http://www.agiri.org/wiki/Instead_of_an_AGI_Textbook > > ben > > ------------------------------------------- > agi > Archives: http://www.listbox.com/member/archive/303/=now > RSS Feed: http://www.listbox.com/member/archive/rss/303/ > Modify Your Subscription: > http://www.listbox.com/member/?&; > Powered by Listbox: http://www.listbox.com > ------------------------------------------- agi Archives: http://www.listbox.com/member/archive/303/=now RSS Feed: http://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: http://www.listbox.com/member/?member_id=8660244&id_secret=98558129-0bdb63 Powered by Listbox: http://www.listbox.com
