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This material outlines the fundamentals of rule-based systems, focusing on procedural control strategies, conflict resolution mechanisms, and salience in rule prioritization. We explore how rules are activated based on facts through pattern matching algorithms like Rete, how the conflict set is managed, and the role of salience in determining rule firing sequence. Additionally, we delve into conflict resolution strategies—global and local—along with specific techniques like refractoriness, specificity, and recency. Practical examples from the CLIPS framework illustrate these concepts effectively.
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COMP 4200: Expert Systems Dr. Christel Kemke Department of Computer Science University of Manitoba
Rule-based Systems Control • Procedural Control • Conflict Resolution Strategies • Salience • Modules
Procedural Control if-then-else while-do
Procedural Control in Actions • Procedural Control Elements can appear on the RHS of a rule or in message-handlers of classes. (if <predicate-expression> then <expression>+ [else <expression>+ ]) ;;else-part optional (while <predicate-expression> [do]<expression>* ]) ;;‘do’ not mandatory
Example – if-then-else (defrule special-age “18, 21, 100” (or (person (name ?name) (age ?age&18)) (person (name ?name) (age ?age&21)) (person (name ?name) (age ?age&100))) => (if (= ?age 18) then (printout t ?name “ can buy beer in Canada.”) else (if (= ?age 21) then (printout t ?name “ can buy beer in the USA.”) else (if (= ?age 100) then (printout t “The major will visit ” ?name ))...)
Rule Activation and Execution Pattern Matching, Rule Activation, Rule Execution Conflict Set, Conflict Resolution, Strategies
Facts, Rules, Pattern Matching • Forward-chaining systems begin with an initial set of facts and in an inference process generate new facts until a goal state is reached. • Facts are entered into the Working Memory (WM). • The conditions of each rule are matched to these facts Pattern Matching (e.g. Rete Algorithm) • Rules whose conditions are satisfied are activated and entered on the agenda.
Rule Activation • The pattern matching algorithm determines, in which sequence rules are being activated, i.e. placed on the agenda. • In CLIPS, you cannot easily determine the sequence of rule activations. • Thus, do not write programs, which implicitly depend on a certain sequence of facts activating rules.
Conflict Resolution • The set of activated rules on the agenda is called the Conflict Set. • Choosing which of the activated rules to fire next is known as Conflict Resolution. • A simple strategy is to select rules according to the order, in which they are put on the agenda. CLIPS, for example, uses a stack (last-in first-out). • There are different types ofConflict Resolution Strategies.
Conflict Resolution Strategies There are two categories of strategies: • global strategies • local strategies Global Strategies are domain-independent and part of the Rule Interpreter/Inference Engine. Local Strategies are domain-dependent and implemented as part of the Rule Base.
Conflict Resolution: Refractoriness • Refractoriness Forward chainers typically implement a refractory conflict resolution strategy - once a rule is fired, it isn't used again on the same data
Conflict Resolution: Specificity • Specificity: Choose a rule with the most conditions or the most specific conditions ahead of a more general rule (prefer most specific knowledge instead of general knowledge)
Conflict Resolution: Recency • Recency: Fire a rule first that is activated by a fact just added to Working Memory, i.e. fire most recently activated rule first ( focus on one line of reasoning, with all related facts and rules)
Explicit Control Salience Meta-Rules
Salience • We can use salience measures to prioritize rules. • CLIPS provides a built-in method for prioritizing rules: (declare (salience value)) • Salience values can range from -10000 to +10000. Default is 0. • We can thus force the execution of one rule over another. We can implement sequencing of rules.
Rule Prioritization in Clips • for example, consider the following rules... (forced order of execution)
Two Nifty Rules (defrule fire-first (declare (salience 30)) (priority first) => (printout t "Print First" crlf) ) (defrule fire-second (declare (salience 20)) (priority second) => (printout t "Print Second" crlf) )
And One More... (defrule fire-third (declare (salience 10)) (priority third)=> (printout t "Print Third" crlf) )
Getting Ready to Run... (assert (priority second)) (assert (priority first)) (assert (priority third)) (agenda) 30 fire-first: f-2 20 fire-second: f-1 10 fire-third: f-3 For a total of 3 activations.
Running This... • The CLIPS agenda acts like a stack - last rule on, first fired • If salience were not used, the third rule, then the first, then the second would fire, due to the sequence of facts and activation of rules: (assert (priority second)) (assert (priority first)) (assert (priority third))
Reasoning Control Classes of Rules
Categories of Rules • Salience values are arbitrary; often what we want is that a certain class of rules are considered before others. • This can be built into the rules themselves using a kind of 'tag' IF (status is check-for-emergencies) .... and employed by setting a fact to allow various categories of rules to be selected - for example, asserting that the status is check-for-emergencies • Another rule can be implemented to change status to the next group of rules.
Categories Example (deffacts control-information (phase detection) (phase-after detection isolation) (phase-after isolation recovery) )
Categories Example • Context Limiting (defrule change-phase (declare (salience -10)) ?phase <- (phase ?current-phase) (phase-after ?current-phase ?next-phase) => (retract ?phase) (assert (phase ?next-phase) )
Another Way... (deffacts control-information (phase detection) (phase-sequence isolation recovery detection))
Another Way... (defrule change-phase (declare (salience -10)) ?phase <- (phase ?current-phase) ?list <- (phase-sequence ?next-phase $?other-phases) => (retract ?phase ?list) (assert (phase ?next-phase) (assert (phase-sequence ?other-phases ?next-phase)) )
Explanation • Note the $?other-phases • The $ operator causes the variable to be bound to several symbols (the remainder of the list of phases, in this case) rather than one. Note that the $ is not part of the variable name and isn't used later when referencing the variable.
Explanation • This approach could be used in a monitoring or control system - forward reasoning is typically used in such systems because we get information, then want to see the ramifications of it (analyze, provide treatment, and so on)
Control: Meta-Rules • Meta-Rules Use Meta-Rules to divide rules into classes. Choose one class over another at a given point. This implements domain-dependent knowledge about which set of rules to use during reasoning. CLIPS provides a Module-construct with similar effects.