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#knowledgerepresentation

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screwlisp<p><a href="https://gamerplus.org/tags/leonardoCalculus" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>leonardoCalculus</span></a> <a href="https://gamerplus.org/tags/programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>programming</span></a> <a href="https://gamerplus.org/tags/knowledgeRepresentation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>knowledgeRepresentation</span></a> <a href="https://gamerplus.org/tags/KR" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KR</span></a> <a href="https://gamerplus.org/tags/formal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>formal</span></a> <a href="https://gamerplus.org/tags/ontology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ontology</span></a> <a href="https://gamerplus.org/tags/article" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>article</span></a> </p><p>Leonardo Calculus Knowledge Representation: Defining sensors sense and sense2 lispdef helper action entities</p><p><a href="https://screwlisp.small-web.org/lispgames/LCKR-defining-sensors-sense-using-cl-series/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">screwlisp.small-web.org/lispga</span><span class="invisible">mes/LCKR-defining-sensors-sense-using-cl-series/</span></a></p><p>Introduces and demos lispdef entities which in the upper ontology are entities containing lisp forms which can/do provide its concrete programming implementation.</p><p>Tying these together is obviously great, none of this "just an ontology" and "just not an ontology" stuff.</p>
screwlisp<p><a href="https://gamerplus.org/tags/programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>programming</span></a> <a href="https://gamerplus.org/tags/formal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>formal</span></a> <a href="https://gamerplus.org/tags/ontology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ontology</span></a> <a href="https://gamerplus.org/tags/lisp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>lisp</span></a> <a href="https://gamerplus.org/tags/Sandewall" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Sandewall</span></a> <a href="https://gamerplus.org/tags/knowledgeRepresentation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>knowledgeRepresentation</span></a> <a href="https://gamerplus.org/tags/article" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>article</span></a> <a href="https://gamerplus.org/tags/leonardoCalculus" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>leonardoCalculus</span></a></p><p>Leonardo Calculus Knowledge Representation: Fleshing out organism’s attributes</p><p>Adding attributes to the organism type (plant, insect and bird are all subsumed-by organism). I also add a coelacanth of type organism to a world entityfile. In my view, quite a good and informational/instructional article if I do say so. What do you think?</p><p><a href="https://screwlisp.small-web.org/lispgames/LCKR-fleshing-out-organisms-attributes/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">screwlisp.small-web.org/lispga</span><span class="invisible">mes/LCKR-fleshing-out-organisms-attributes/</span></a></p>
isws<p>In his keynote, Enrico Motta from the Knowledge Media Institute at Open University, UK is presenting on Using AI to capture the representation of political discourse in news.</p><p><a href="https://sigmoid.social/tags/isws2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>isws2025</span></a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>knowledgegraphs</span></a> <a href="https://sigmoid.social/tags/ontologies" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ontologies</span></a> <a href="https://sigmoid.social/tags/knowledgerepresentation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>knowledgerepresentation</span></a> <a href="https://sigmoid.social/tags/kr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>kr</span></a></p>
screwlisp<p><a href="https://gamerplus.org/tags/programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>programming</span></a> <a href="https://gamerplus.org/tags/knowledgeRepresentation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>knowledgeRepresentation</span></a> <a href="https://gamerplus.org/tags/lisp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>lisp</span></a> <a href="https://gamerplus.org/tags/gamedev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gamedev</span></a> <a href="https://gamerplus.org/tags/devlog" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>devlog</span></a> <a href="https://gamerplus.org/tags/retrospective" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>retrospective</span></a> </p><p>sharpsign</p><p>my kitten is alive (ask the cat - Heinlein)</p><p><a href="https://screwlisp.small-web.org/lispgames/games-as-knowledge/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">screwlisp.small-web.org/lispga</span><span class="invisible">mes/games-as-knowledge/</span></a></p><p>this one has the least gremlins. Since my game was an hour of a dandelion-random-walk-through-a-field the retrospective is also literally the code I evaluated. I'm going to continue /here/ with a sort of separate retrospective retrospective retrospective.</p><p>What I /exposed/ in my agent relevant to the game experience were:<br> 1/?</p>
screwlisp<p><a href="https://gamerplus.org/tags/programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>programming</span></a> <a href="https://gamerplus.org/tags/rough" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rough</span></a> <a href="https://gamerplus.org/tags/lispgamejam" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>lispgamejam</span></a> <a href="https://gamerplus.org/tags/knowledgeRepresentation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>knowledgeRepresentation</span></a> <a href="https://gamerplus.org/tags/submission" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>submission</span></a> my kitten seems not to be out to play today, but codeberg renders markdown anyway<br><a href="https://codeberg.org/tfw/screwlisps-kitten/src/branch/main/lispgames/last-five-hours-lispgame.page.md" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">codeberg.org/tfw/screwlisps-ki</span><span class="invisible">tten/src/branch/main/lispgames/last-five-hours-lispgame.page.md</span></a></p><p>Basically instead of spending a week on lispgamejam I spend two hours (starting two hours ago) resulting in this document, which is mostly things I learned personally about using my <a href="https://codeberg.org/tfw/pawn-75" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">codeberg.org/tfw/pawn-75</span><span class="invisible"></span></a> (nee Sandewall).</p><p>ascii daises growing in a random walk! But in a very knowledge-y way.</p>

#programming #knowledgeRepresentation #engineering #gamedev #lispgamejam #lisp screwlisp.small-web.org/progra
in which I introduce creating knowledgebases in my #softwareIndividuals in a brief and heartwarming way. I put a new value in the entity inside the knowledgebase defining the knowledgebase to add a dependency to another knowledgebase. #intro #demo

Birds were removed from plants+insects+birds for time budget reasons.

@shizamura how far afield is my useage from what you do srsly?

I am honored to present at King's College. If you have questions, ideas or suggestions about the topic of Knowledge in the Age of AI, feel free to leave them here! I'll take a look as I refine the talk. I would be very happy to see you in London, if you're around, or for you to enjoy the stream or recording.

#wikipedia #wikidata #ai #knowledge #knowledgerepresentation

eventbrite.co.uk/e/knowledge-i

EventbriteKnowledge in the Age of AIJoin us for our upcoming Informatics departmental seminar with Dr Denny Vrandečić.

In 1879, Gottlob Frege introduced Begriffsschrift, a formal system with symbols and rules, allowing for precise manipulation of logical statements. This paved the way for modern symbolic logic and symbolic reasoning.

G. Frege. Begriffsschrift: eine der arithmetischen nachgebildete Formelsprache des reinen Denkens. Halle an der Saale: Verlag von Louis Nebert, 1879.
gallica.bnf.fr/ark:/12148/bpt6

#HostoryOfAI #ISE2024 #lecture #logics #knowledgerepresentation @enorouzi @sourisnumerique @fizise #AIart

Knowledge Representation and Symbolic Reasoning as another AI discipline are much older than machine learning. Already in the 4th century BCE greek philosopher Aristotle suggested ten universal categories under which to place every object of human apprehension.

Studtmann, P.. Aristotle's Categories. In Zalta, E.N. (ed.). Stanford Encyclopedia of Philosophy. plato.stanford.edu/entries/ari

#HistoryOfAI #AI #ISE2024 #knowledgerepresentation #symbolicAI #philosophy @sourisnumerique @enorouzi @fizise

Again trying to bring a classic #scifi author's work closer to the attention of my students ;-)
In the last #ise2024 lecture modelled the class 'Foundation Trilogy Book' via OWL nominals (i.e. closed classes, defined by class extension).

lecture slides: docs.google.com/presentation/d

@fizise @sourisnumerique @shufan @enorouzi #knowledgegraphs #ontologies #knowledgerepresentation #kr #semanticweb #owl #lecture