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SGR(k): Separated GR(k) Synthesis

This is a tool for reactive synthesis from temporal specifications in the Separated GR(k) format, a fragment of Generalized Reactivity(k) where every component of the specification either depends only on the input variables or only on the output variables. This property allows the synthesis problem to be solved in linear time on the number of states of the game graph.

Installation

This project requires the 3.0.0 version of the CUDD BDD package. It additionally assumes that the CUDD C++ API is wrapped in a namespace called CUDD. A version of the code with the namespace can be found here: https://github.com/KavrakiLab/cudd.git. Make sure to run the configure script on CUDD with the --enable-obj option in order to compile the C++ API. The --prefix option can also be used to specify the installation directory.

Once CUDD has been compiled, replace the CUDD=../cudd-install line in the Makefile with the path to the installation directory of CUDD, which should have an include folder with the file cuddObj.hh file and a lib folder with the file libcudd.a.

The project also requires a working installation of flex and bison, and a version of g++ with support for C++17. To compile, simply run make from the top-level directory. A new bin folder will be created containing the executable.

Specification format

Examples of specification files can be found in the benchmarks subdirectory. The following example can be found in cleaning_robots/cleaning_robots_1.sgrk:

"in:room0" & !"in:clean0" & !"in:done" ;

"out:room0" & !"out:clean0" ;

("in:room0") &
(X "in:room0") &
("in:room0" -> X "in:room0") &
((!"in:clean0" & X "in:clean0") -> ("in:room0" & X "in:room0")) &
("in:clean0" -> X "in:clean0") &
("in:done" -> X "in:done") &
(X "in:done" -> (X "in:room0" <-> "in:room0")) &
(X "in:done" -> (X "in:clean0" <-> "in:clean0")) ;

("out:room0") &
(X "out:room0") &
("out:room0" -> X "out:room0") &
((!"out:clean0" & X "out:clean0") -> ("out:room0" & X "out:room0")) &
("out:clean0" -> X "out:clean0") ;

((GF "in:done" & GF !"in:clean0") -> (GF "out:clean0")) &
((GF "in:done" & GF "in:clean0") -> (GF !"out:clean0"))

Specification files must be in the format

<initial-assumptions>;
<initial-guarantees>;
<safety-assumptions>;
<safety-guarantees>;
((GF <justice-assumption> & ... & GF <justice-assumption>) -> (GF <justice-guarantee> & ... & GF <justice-guarantee>)) &
... &
((GF <justice-assumption> & ... & GF <justice-assumption>) -> (GF <justice-guarantee> & ... & GF <justice-guarantee>)))

where assumptions are boolean formulas over the input variables and guarantees are boolean formulas over the output variables. All variables must be in quotation marks. Input variables must be prefixed by in: and output variables by out:, and their names can use any alphanumeric character or underscores, in any order. Although the tool currently does not check whether the assumptions only contain input variables and the guarantees only contain output variables, if this condition is violated the tool is not guaranteed to produce correct results.

Boolean formulas use the operators ! (not), & (and), | (or), -> (implies), <-> (iff) and ^ (xor), and the constants 0 and 1. In the safety assumptions and guarantees variables can also be preceded by the temporal operator X (next).

Whitespace and newlines are used for readability, but ignored by the parser.

The implicit semantics of a specification in the format above are given by the following Linear Temporal Logic formula:

<initial-assumptions> ->
    (<initial-guarantees> &
     (<safety-guarantees> W !<safety-assumptions>) &
     (G <safety-assumptions> ->
         (((GF <justice-assumption> & ... & GF <justice-assumption>) -> (GF <justice-guarantee> & ... & GF <justice-guarantee>)) &
          ... &
          ((GF <justice-assumption> & ... & GF <justice-assumption>) -> (GF <justice-guarantee> & ... & GF <justice-guarantee>)))))

In this formula, W denotes the "weak until" operator, G the "globally" operator and F the "eventually" operator.

Running the tool

To run the tool, use the command

bin/sgrk <specification-file> [--test=<test-set-file>] [--play=<input-play-file>] [--dumpdot=<output-dot-file>]

where <specification-file> is a file in tnhe format above. The tool outputs either Realizable or Unrealizable.

Although the tool computes a winning strategy if the specification is realizable, currently there is no option to save this winning strategy in a standard format such as AIGER. However, the winning strategy can be inspected in various ways by using the optional arguments. We descripte these options below.

Dump dot

If the optional argument --dumpdot=<output-dot-file> is provided, then it will save a .dot file with three BDDs:

  • The first (labeled FG(CC)) represents the set of winning states; that is, the states from where the system can force the game to remain forever in a strongly-connected component of the game graph that satisfies the GR(k) winning condition.
  • The second (labeled CC) represents the set of states where the system can win while remaining in the same strongly-connected component. That is, as long as the environment does not move to a different component, the system has a strategy to satisfy the GR(k) winning condition from within the current component.
  • The third (labeled T) represents a transition relation that will take the system from a winning state not in CC to a winning state in CC.

Test

If the optional argument --test=<test-set-file> is provided, the tool reads the input <test-set-file>. The following example test file for the cleaning_robots_2.sgrk benchmark can be found in benchmarks/cleaning_robots_2.test:

in:room0 in:room1 in:clean0 in:clean1 in:done out:room0 out:room1 out:clean0 out:clean1
010011000010011010 -> 101
010011000010010100 -> 100
100011000111111111 -> 100
100001000111111111 -> 110
011111000111111111 -> 110
010111010111111111 -> 110
010000100111111111 -> 010
010010100111111111 -> 000
100000100111111111 -> 010
100010100111111111 -> 000

The first line of the test file must contain all of the input and output variables present in the benchmark, in any order. The following lines contain test cases.

On the left of the arrow should be a bitvector of size 2n, where n is the total number of variables. The first n bits represent an assignment to the variables in the order given in the first line, and the last n bits represent an assignment to the variables in the next step, in the same order.

On the right side of the arrow should be a bitvector of size 3, denoting the expected evaluation of the BDDs FG(CC), CC and T described above, in that order. Since FG(CC) and CC represent sets of states, they only consider the first n bits, representing the current state. Meanwhile, since T represents a transition relation, it considers all 2n bits.

The tool outputs the test results in the following format:

0: PASS PASS PASS
1: PASS PASS PASS
2: PASS PASS PASS
3: PASS PASS PASS
4: PASS PASS PASS
5: PASS PASS PASS
6: PASS PASS PASS
7: PASS PASS PASS
8: PASS PASS PASS
9: PASS PASS PASS

Each line corresponds to one test case, and displays PASS or FAIL for each of the three bits, depending on whether the evaluation matched the one in the test file.

Play

If the optional argument --play=<input-play-file> is provided, the tool can play the game with the user, using the winning strategy to choose outputs based on the inputs received.

If <input-play-file> is given as stdin, the tool requests inputs via the terminal. Inputs are given as bitvectors with one bit per input variable, in the order requested by the tool. Based on these inputs, the tool chooses the output and updates the state. The interaction can be ended by typing quit. If a file name is passed as <input-play-file>, the file should contain one input bitvector per line and end with quit. The tool will then run the game automatically using the inputs from the file.

Source code

All source files can be found in the src folder. The main algorithm can be found in the class SeparationGrkSolver, which reduces the synthesis problem to a game over a weak automaton. The game is solved by the class WeakFGSolver, and the winning strategy for the game is given along with additional information to the class SeparationGrkStrategy, which constructs a strategy for realizing the Separated GR(k) specification.

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