 KNOWLEDGE
ENGINEERING & A.I.
Artificial Intelligence (AI) has now stepped out of the
science laboratories into the real world of industry and commerce. AI
is a viable, cost-effective technology today that is increasingly establishing
its usefulness in diverse applications such as knowledge representation,
information retrieval, natural language processing, database design,
and decision-support systems. Recognizing this progress, the U.S. Government
has established a Knowledge Engineering Group at the Center
for Strategic Leadership, which teaches executive level AI seminars
to top government officials. Universities now offer M.S. programs
in Knowledge Engineering. Industry groups have established their
own implementation centers, such as the Knowledge Engineering on
Hydraulic & Pneumatic Systems Ltd. that is a USA-France-Brazil
collaboration.
Knowledge Engineering projects now seek to establish large-scale
repositories of Reusable Knowledge, implement distributed collaborative
ontology, enhance the technology for the reuse of design objects, assist
modeling & analysis of physical systems and implement Adaptive Intelligent
Systems.
KNOWLEDGE ENGINEERING CONSULTING
Knowledge Engineering – simplified – is the process of capturing, encoding,
and testing domain-specific impact knowledge, procedures and legislation
for use in a software application. This serves as the triggers for impacts
and the related mitigations, operating procedures and legislation to
be considered. Additionally, knowledge management creates a systematic
process of finding, selecting, organizing and presenting information
in a way that improves employees’ comprehension in a specific area of
interest.
Artilligence provides systems study, design, programming and implementation
services. Additionally we provide basic training and a continuing support
program to assist clients’ knowledge engineers/workers with the task
of using the systems.
EXPERT SYSTEMS
Conventional programming languages provide for procedural manipulation
of data. Humans, however, often solve complex problems using very abstract,
symbolic approaches. AI techniques allow modeling of information at
higher levels of abstraction to closely resemble human logic. These
systems that emulate human expertise in well-defined problem domains,
are called Expert Systems.
Artilligence has experience in Rule-based Expert Systems that use rules
to represent heuristics, or "rules of thumb," which specify a set of
actions to be performed for a given situation. An INFERENCE ENGINE automatically
matches facts against patterns and determines which rules are applicable,
employing either backward-chaining or forward-chaining techniques.
"NORMA"
We are in the process of developing our own Intelligent Persona whom
we call Norma. It is still in the design stage and is likely to be released
in the Fall of 2003.
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