<liclass="task-list-item enabled"><inputclass="task-list-item-checkbox"type="checkbox"> test it with your future HDDL domain</li>
</ul>
<pre><code>cd ${HTN_PATH}/TP01
planviz travelWalkTaxi.hddl gotoPark_problem.hddl
</code></pre>
<h2id="first-plan">First plan</h2>
<p>Suppose that you want a planner to help you to decide how you will achieve some travelling tasks in a foreign city.</p>
<p>Have a look to the <strong>domain HDDL file</strong><travelWalkTaxi.hddl> and the <strong>problem HDDL file</strong><gotoPark_problem.hddl> with your favorite editor</p>
<ulclass="contains-task-list">
<liclass="task-list-item enabled"><inputclass="task-list-item-checkbox"type="checkbox"> Check that you can get a valid plan (only one action is performed actually!)</li>
</ul>
<p>In this dummy example, we want to travel from home to the park, corresponding to the goal <strong>Task</strong> in <gotoPark_problem.hddl>: <em>(travel home park)</em></p>
<liclass="task-list-item enabled"><inputclass="task-list-item-checkbox"type="checkbox"> Check what's happening if the park is not at a short distance from home...</li>
</ul>
<blockquote>
<p>i.e remove '(shortDistance home park)' predicate.</p>
</blockquote>
<h2id="writing-some-tasks-methods-and-literals">Writing some tasks, methods and literals</h2>
<ulclass="contains-task-list">
<liclass="task-list-item enabled"><inputclass="task-list-item-checkbox"type="checkbox"> In the problem file, add an <em>airport</em> location, and try to travel there</li>
</ul>
<p>Note that the airport is not at a <spanclass="katex"><spanclass="katex-mathml"><mathxmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>s</mi><mi>h</mi><mi>o</mi><mi>r</mi><mi>t</mi><mi>D</mi><mi>i</mi><mi>s</mi><mi>t</mi><mi>a</mi><mi>n</mi><mi>c</mi><mi>e</mi></mrow><annotationencoding="application/x-tex">shortDistance</annotation></semantics></math></span><spanclass="katex-html"aria-hidden="true"><spanclass="base"><spanclass="strut"style="height:0.6944em;"></span><spanclass="mord mathnormal">s</span><spanclass="mord mathnormal">h</span><spanclass="mord mathnormal"style="margin-right:0.02778em;">or</span><spanclass="mord mathnormal">t</span><spanclass="mord mathnormal"style="margin-right:0.02778em;">D</span><spanclass="mord mathnormal">i</span><spanclass="mord mathnormal">s</span><spanclass="mord mathnormal">t</span><spanclass="mord mathnormal">an</span><spanclass="mord mathnormal">ce</span></span></span></span> from home or from the park.</p>
<blockquote>
<p>You may create a new <strong>problem HDDL file</strong><gotoAirport_problem.hddl></p>
</blockquote>
<p>Now, before taking your flight, you would like to go to the park, and then reach the airport. Update the task list in the problem (or the compound task and methods in the domain?) according to.</p>
<ulclass="contains-task-list">
<liclass="task-list-item enabled"><inputclass="task-list-item-checkbox"type="checkbox"> Generate a plan where you're going first to the park, and after to the airport.</li>
</ul>
<blockquote>
<p>You may create a new <strong>problem HDDL file</strong><gotoAirportFromPark_problem.hddl></p>
</blockquote>
<h2id="adding-cost">Adding cost</h2>
<p>Actually, taxi ride is not free. To keep it simple, each travel in taxi will cost you $20, no matter the distance. Begin with $60 cash in your pocket. In this city, taxis only accept cash.</p>
<ulclass="contains-task-list">
<liclass="task-list-item enabled"><inputclass="task-list-item-checkbox"type="checkbox"> Model the taxi cost: in the domain, add an action 'pay_driver'</li>
</ul>
<p></p>
<blockquote>
<p>You may create a new <strong>domain HDDL file</strong><travelWalkTaxiCost.hddl> and <strong>problem HDDL file</strong><travelWalkTaxiCost_problem.hddl></p>
</blockquote>
<p></p>
<blockquote>
<p>Trick: use a "gauge" for the amount of money, i.e. objects that represent your value (numerable are not implemented yet and would complexify the problem resolution!)</p>
</blockquote>
<p></p>
<blockquote>
<p>Warning: 'functions' are not implemented in HyperTensioN</p>
<liclass="task-list-item enabled"><inputclass="task-list-item-checkbox"type="checkbox"> Add more destinations and possibilities</li>
</ul>
<p>For example, add a museum that you actually want to visit since you have time before your flight.</p>
<blockquote>
<p>At each step, for the moment, chack that you have enough cash and that your still getting a valid plan.</p>
</blockquote>
<p>Now, try it again, with only $20 in your wallet: planning should fail if you are visiting a museum far away...</p>
<ulclass="contains-task-list">
<liclass="task-list-item enabled"><inputclass="task-list-item-checkbox"type="checkbox"> Add a 'CashMachine' locations and generate a new plan beginning without enough cash.</li>
</ul>
<p>Cash Machines are located at short distance from home, park and museum (apparently we are in a capitalist city). From there, you can retrieve cash. Don't worry, we will not model your bank account.</p>
<blockquote>
<p>You may create a new <strong>domain HDDL file</strong><travelManyPlaces.hddl> and <strong>problem HDDL file</strong><travelManyPlaces_problem.hddl></p>
<h2id="writing-a-more-interesting-planning-problem">Writing a more interesting planning problem</h2>
<ulclass="contains-task-list">
<liclass="task-list-item enabled"><inputclass="task-list-item-checkbox"type="checkbox"> Add 10 destinations in the city and visit them all before getting to the airport.</li>
</ul>
<p>E.g add a library, coffee-shop... Some are at short-distance from one another, others not.</p>
<blockquote>
<p>check that you still getting a valid plan.
you may still have to modify your porblem and domain, e.g adding a predicate 'hasBeenVisited' for a location</p>
</blockquote>
<h2id="some-statistics-and-performance">Some statistics and performance</h2>
<ulclass="contains-task-list">
<liclass="task-list-item enabled"><inputclass="task-list-item-checkbox"type="checkbox"> evaluate the performance of the planner</li>
</ul>
<p>>- how many steps for 10 locations?
>- how much CPU time for 10 locations?
>- draw a plot (e.g in Matplotlib) for time and cost according to problem size (e.g: number of locations here)</p>