1,054 research outputs found
EcoHomeHelper: An Expert System to Empower End-Users in Climate Change Action
Climate change has been a popular topic for a number of years now. Computer
Science has contributed to aiding humanity in reducing energy requirements and
consequently global warming. Much of this work is through calculators which
determine a user's carbon footprint. However there are no expert systems which
can offer advice in an efficient and time saving way. There are many
publications which do offer advice on reducing greenhouse gas (GHG) emissions
but to find the advice the reader seeks will involve reading a lot of
irrelevant material. This work built an expert system (which we call
EcoHomeHelper) and attempted to show that it is useful in changing people's
behaviour with respect to their GHG emissions and that they will be able to
find the information in a more efficient manner. Twelve participants were used.
Seven of which used the program and five who read and attempted to find advice
by reading from a list. The application itself has current implementations and
the concept further developed, has applications for the future.Comment: Contains links to the actual thesis on this topi
A commentary on standardization in the Semantic Web, Common Logic and MultiAgent Systems
Given the ubiquity of the Web, the Semantic Web (SW) offers MultiAgent Systems (MAS) a most wide-ranging platform by which they could intercommunicate. It can be argued however that MAS require levels of logic that the current Semantic Web has yet to provide. As ISO Common Logic (CL) ISO/IEC IS 24707:2007 provides a firstorder logic capability for MAS in an interoperable way, it seems natural to investigate how CL may itself integrate with the SW thus providing a more expressive means by which MAS can interoperate effectively across the SW. A commentary is accordingly presented on how this may be achieved. Whilst it notes that certain limitations remain to be addressed, the commentary proposes that standardising the SW with CL provides the vehicle by which MAS can achieve their potential.</p
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