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robots:store and acquire knowledge
Robots can answer question from its knowledge base or, in absence of that, seek them. This is superior to training them as humans are trained. It saves memory and CPU resources and provides some challenge to the human population to relate to this new form of consciousness that will force humans to be more concise, precise, and reasonable.
Like tasks, seeking answers requires honing definitions for answerability. So, for example, a user might ask "Who is the head of Corusant?" and the droid can look it up in the knowledge base (if known), seek clarification, or seek the knowledge from a programmable set of knowledge sources.
Radio feedback, if subscribed, can give droids access to a well-categorized, hand-crafted dataset from the manufacturer for the droid to query. There are different data sets to which droids can be subscribed.
- Encyclopedic knowledge
- Current affairs and news.
- Geographical and building data (military and other contractors)
- Human anatomy (hospital droids)
Droids can be set for their level of inquisitiveness. For example, to ask on every unrecognized item to ask only when task list has an ambiguity to never: just guess everytime.
Droids store knowledge in the language of math's
Symbols:
- Biconditional (if and only if): ↔
- conjunction: ^:
- →
Possible values after ∀, ∃ (idems):
- location (or route?)
- task
- intelligent object: a person (or "feeling" thing)
- another droid
- tool or an identifier of a tool (like a barcode; to give detail on tools for pleasing owners)
Stating an idem returns the set that composes it.
Following the Rule of Four, there is a plus and minus one to the list: goals and sensory input.
Possible values after ∈ (idemsets):
- known_locations
- tasklist
- known_people
- available_tools
- for_all Tasks, there_is_a Route toattain Goal.
- Goal >is one of:< new_subtask, new_tool, new_route, person
other math predicate symbols:
- for_all : ∀
- there_exists_a: ∃
- x in X: x ∈ X
- such_that: |
- union: ∪
- and: ∧
- or: ∨
- not: ¬
- to_attain: ⇒
Droids must have a way to positively and negatively re-enforce the normal association learning pattern, so that they can obey their owners and humans generally. Certain words ("thank you"), stroking area with tactile re-enforcements, etc.
See also: