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AIMA-Java Core Algorithms from the book Artificial Intelligence a Modern Approach 3rd Ed.
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package aima.core.logic.propositional.inference;

import java.util.ArrayList;
import java.util.List;

import aima.core.logic.propositional.kb.KnowledgeBase;
import aima.core.logic.propositional.kb.data.Model;
import aima.core.logic.propositional.parsing.ast.PropositionSymbol;
import aima.core.logic.propositional.parsing.ast.Sentence;
import aima.core.logic.propositional.visitors.SymbolCollector;
import aima.core.util.Util;

/**
 * Artificial Intelligence A Modern Approach (3rd Edition): Figure 7.10, page
 * 248.

 * 

 * 
 *  * function TT-ENTAILS?(KB, α) returns true or false
 *   inputs: KB, the knowledge base, a sentence in propositional logic
 *           α, the query, a sentence in propositional logic
 *           
 *   symbols <- a list of proposition symbols in KB and &alpha
 *   return TT-CHECK-ALL(KB, α symbols, {})
 *   
 * --------------------------------------------------------------------------------
 * 
 * function TT-CHECK-ALL(KB, α symbols, model) returns true or false
 *   if EMPTY?(symbols) then
 *     if PL-TRUE?(KB, model) then return PL-TRUE?(α, model)
 *     else return true // when KB is false, always return true
 *   else do
 *     P <- FIRST(symbols)
 *     rest <- REST(symbols)
 *     return (TT-CHECK-ALL(KB, α, rest, model ∪ { P = true })
 *            and
 *            TT-CHECK-ALL(KB, α, rest, model ∪ { P = false }))
 * 
 * 
 * Figure 7.10 A truth-table enumeration algorithm for deciding propositional
 * entailment. (TT stands for truth table.) PL-TRUE? returns true if a sentence
 * holds within a model. The variable model represents a partional model - an
 * assignment to some of the symbols. The keyword "and" is used here as a
 * logical operation on its two arguments, returning true or false.
 *
 * @author Ciaran O'Reilly
 * @author Ravi Mohan
 * @author Mike Stampone
 */
public class TTEntails {

	/**
	 * function TT-ENTAILS?(KB, α) returns true or false.
	 * 
	 * @param kb
	 *            KB, the knowledge base, a sentence in propositional logic
	 * @param alpha
	 *            α, the query, a sentence in propositional logic
	 * 
	 * @return true if KB entails α, false otherwise.
	 */
	public boolean ttEntails(KnowledgeBase kb, Sentence alpha) {
		// symbols <- a list of proposition symbols in KB and &alpha
		List symbols = new ArrayList(
				SymbolCollector.getSymbolsFrom(kb.asSentence(), alpha));

		// return TT-CHECK-ALL(KB, α symbols, {})
		return ttCheckAll(kb, alpha, symbols, new Model());
	}

	//
	/**
	 * function TT-CHECK-ALL(KB, α symbols, model) returns true or false
	 * 
	 * @param kb
	 *            KB, the knowledge base, a sentence in propositional logic
	 * @param alpha
	 *            α, the query, a sentence in propositional logic
	 * @param symbols
	 *            a list of currently unassigned propositional symbols in the
	 *            model.
	 * @param model
	 *            a partially or fully assigned model for the given KB and
	 *            query.
	 * @return true if KB entails α, false otherwise.
	 */
	public boolean ttCheckAll(KnowledgeBase kb, Sentence alpha,
			List symbols, Model model) {
		// if EMPTY?(symbols) then
		if (symbols.isEmpty()) {
			// if PL-TRUE?(KB, model) then return PL-TRUE?(α, model)
			if (model.isTrue(kb.asSentence())) {
				return model.isTrue(alpha);
			} else {
				// else return true // when KB is false, always return true
				return true;
			}
		}

		// else do
		// P <- FIRST(symbols)
		PropositionSymbol p = Util.first(symbols);
		// rest <- REST(symbols)
		List rest = Util.rest(symbols);
		// return (TT-CHECK-ALL(KB, α, rest, model ∪ { P = true })
		// and
		// TT-CHECK-ALL(KB, α, rest, model U { P = false }))
		return ttCheckAll(kb, alpha, rest, model.union(p, true))
				&& ttCheckAll(kb, alpha, rest, model.union(p, false));
	}
}