If truth maintenance is a central part of your architecture, I recommend
Building Problem Solvers, by Kenneth Forbus and Johan de Kleer.  It's on
Amazon:

http://www.amazon.com/Building-Problem-Solvers-Artificial-Intelligence/dp/02
62061570/ref=sr_1_1?ie=UTF8&qid=1307815663&sr=8-1

and you can find the source code for the truth maintenance systems described
in the book here:

http://www.qrg.northwestern.edu/BPS/readme.html

As part of my PhD work, I developed a reasoning system based on the LTRE, a
forward-chaining rule engine on top of a logic-based TMS that is described
in Building Problem Solvers. Coming from this background, I continually find
Jess to be a Swiss Army knife of capabilities. However, if the logical
conditional in Jess is not sufficient for your architecture, you'll probably
need to implement a separate TMS layer. The logic-based TMS, which does fast
(but incomplete) Boolean constraint propagation, provides a good balance
between expressivity and efficiency. 

The problem solver architectures presented in Building Problem Solvers use
the rule engine's rules to construct a problem-specific dependency network,
through which the TMS propagates truth values.  For example, the CyclePad
system

http://www.qrg.northwestern.edu/projects/NSF/Cyclepad/aboutcp.html

enables the user to assemble and analyze thermodynamic cycles from a palette
of devices (turbines, pumps, heaters, throttles, coolers, etc). Once the
user has completed the cycle design, CyclePad runs its knowledge base of
rules to generate a dependency network that captures the relationships among
the thermodynamic properties at the inlet and outlet of each device. The
user can choose the working fluid for the system, and this imposes further
logical dependencies. For example, water will condense at certain
combinations of pressure and temperature. The user analyzes the system by
making assumptions about thermodynamic properties that the system then
propagates through the dependency network.



-John



-----Original Message-----
From: Ernest Friedman-Hill [mailto:ejfr...@sandia.gov] 
Sent: Saturday, June 11, 2011 8:20 AM
To: jess-users@sandia.gov
Subject: Re: JESS: On the Performance of Logical Retractions


On Jun 11, 2011, at 6:11 AM, Oliya wrote:

>
> But still I have a question: what type of truth maintenance is 
> supported in Jess? Can you provide links to more information please.


The "logical" conditional element is the only form of truth  
maintenance in Jess. I thought you said you were already using it?


> --------------------------------------------------------

Ernest Friedman-Hill
Informatics & Decision Sciences, Sandia National Laboratories
PO Box 969, MS 9012, Livermore, CA 94550
http://www.jessrules.com







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