%0 Journal Article
%T Artificial Dasein: Solving the Frame Problem with Incremental Contextualization
%A Kole Harvey
%J Open Access Library Journal
%V 5
%N 4
%P 1-17
%@ 2333-9721
%D 2018
%I Open Access Library
%R 10.4236/oalib.1104535
%X
In this paper, we
give an account of a rationally behaving agent¡ªan artificial Dasein¡ªwhich can perceive the world in terms of
relevance to its own goals. The way we achieve this is through a process of
incremental contextualization of goals and constraints that range from the
purely conceptual and abstract to the well-defined and physical. The model
described in this paper combines a conceptual hierarchy with a schema
structure, and leads to an account of practical reasoning which relies on two
novel ideas: the recursive selection of increasingly contextualized subgoals,
and the tractable determination of behavioral consequences through simulation.
The present account seeks to provide an outline for developing an agent which
does not suffer from the frame problem due to the way in which it incrementally
contextualizes its goals until they can be achieved unreflectively by matching
them to pre-learned schemas. We believe that this account can lead to a form of
artificial intelligence more powerful than traditional attempts based on formal
logic.
%K Frame Problem
%K Schemas
%K Reasoning
%K Context
%K Goals
%U http://www.oalib.com/paper/5293435