Synthesizing agent for Wumpus World / Ainul Azlinda Abu Bakar

The developing of intelligent agent has become a major research for many researchers
currently. However, a little had focused on developing an agent synthesis. The domain
of this thesis is traditional wumpus world that is enhanced and modified to be the
synthesizing agent wumpus world. Therefore, this thesis objective is'to identify the
enhancement and modification needed and to create synthesizing agent algorithm that is
sound for the synthesizing agent wumpus world. Agent synthesis is an automatic
programming that will automatically deliver an agent into an environment, and will do
the task given successfully in that particular environment. The major enhancement and
modification have been made to the rules, actuators, and sensors of the traditional
wumpus world. This thesis used a few approach in developing agent synthesis such as
depth-first search and synthesis scheme. This technique is used by the agent synthesis to
ensure that it will be synthesize into a right square and at the right time. As a result, the
agents are able to achieve its goal in a shorter time and more accurately. This thesis
would give ideas for future work in producing more quality agent syntheses. In
conclusion, synthesizing agent could be a great solution to overcome the problem in an
environment.