AI Does Not Recognize Hamon, Lord of Striking Thunder's Effect

  1. Bug description
    The AI attacks defense position Hamon, Lord of Striking Thunder thinking it is attacking another monster. As a result, the AI continuously and senselessly rams into a 4000 DEF Hamon reducing their own LP. Hamon’s continuous effect only allows you opponent to declare attacks on it while it is in face-up defense position. I don’t believe the AI understand this effect. I believe the AI thinks it’s attacking weaker monsters on the field, attacks Hamon instead (due to its effect), loses LP, sees the weaker monster is still on the field, and repeat.

    For example, take this simplified game state. Let’s say the board only has five cards on the field and no cards in either players’ hand. I have one defense position Hamon and one attack position Dark Beckoning Beast (0 ATK / 0 DEF), and the AI has three attack position Protrons (100 ATK / 100 DEF). If it is the AI’s turn, then they will attack the Hamon with all three Protrons (thinking their going to attack over the Dark Beckoning Beast). This will cause the AI to lose 11700 LP from Battle Damage and lose the duel. If you take the same situation except without the Dark Beckoning Beast on the field, then the AI will behave as you’d expect. They’d put the three Protrons into defense position and pass turn.

    This behavior is especially exaggerated with Sacred Beast decks since those first-turn boards often end in a defense position Hamon and either an attack position Dark Beckoning Beast or Salamangreat Almiraj (0 ATK).

  2. Bug reproduction steps

    1. Get a Hamon, Lord of Striking Thunder on the field in defense position.
    2. Get a weak ‘bait’ monster (anything with low ATK and DEF) on the field (alongside Hamon) that the AI will want to attack.
    3. Pass turn.
    4. Hope the AI’s end board facilitates only attacking over your ‘bait’ monster (try using the Old School AI).
    Here's the deck I'm using.

    M+fv0N/KOL1YiwWE9U6+ZwThtSujGUA4ufoKCwxv2LSIEYabm2xZQbj9xykGEH5YcZIFhlXnuzBrfgpgjU9kZYLh/u8srMdW3mKZwKbMYLekkFH52lymK79+MHRnGTODcKBAM7NgUiHjwrR3LCC8W0KQOb/sPYOSx0yGNoupzA1PpzKxH49nDU9MYdbRecN0wqiPcbpiCutC9RnMGz3nsU5UO8FwS/k185JZ2gyfDr9j2s/nyZR48SDYnRLLQlgWTGFhEnZPZdC3nM68WJ+DKebKZ0aQnTB7YXaD7AThyncdzKBwAQA=

  3. Screenshot OR error code

    AI Attacks Hamon

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    AI Self-K.O. Into Hamon

    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82GfMx+p08xHSl55ogR7GKRIxatSlFBPSCIeV6wo4XVCkrA6o6VY6dTWj2InwK/p25JtiSiFHnBGkVVC33CDXHTOunnJd7cBYC6TCFs1zSvBwUej37GZwLK+LXlZhFLmo5S87LcUPt5SVtznqfLU5xn02OcZqlGfZ9jZ1WtxvOCe9eKwYnQkY3K/76+DocW8bHdZB7QY9wUt4RNask7QKnvC4D4mDF6xYSrl2BOSuEejVcppjZDEWex6K8ggR0fWiYXiJavMKfegMqe8apW58KUyFz5V5qJOKnPRs+GNFtyHXxxWwgdXKio25KFC+IKVRyMfKlSNYCVL3ghHJfKAJOllk9w6kJTaL6wTSdLjBjoqWZ2Q5DbImfueDXJUlq01lz605qpqrbnypTVXPrXmqk5ac+U2zoHgrTd3hfoBS03uqSpbCaJ8KEFU1UoQ5UkJwiAEX7MlWTfOFoHdZ2Za1TiIMeGMIdLz/4Eecdt5NqPZj37hGilaGMSpOT+DJStaGKTrhy6DFStZGPSkZGHQv8NBB93+eE2sRkoYBktWwjDkQQnDUMVKGIY8KWEYIhuINFQjJQ1zvvmzflFZj29+VtA3/xiA9KAhYahiDQnDnjQkrISzAIYDEtdIg8J6fP0zTMHD5n4etO5vedqeJMgwSywRGS6ZmWTYAzPJcMXMJMO+mEkCwY4AbAgsHbNpGt44sjZhHi5yFuRnNh0Ne8R8e9KEhqF1GZh3HHLQdAGGltSJoSWxK7zD+rZsdpb4YGdJ1ews8cXOEpE5bbaszuPiXecZFu+A3x+vX7ZO7HDZRizMhxELo1Wzw9QXO0yzp2rXF6m0Tuw0Zb1OTs37tieCWV0yHZW4impPrCmVTjGgVLFV12ddEv0oturapW8TRjd3hzC0zUY+l9+o45Af3GGYjw7Dqu4wzFeHYfEer/1Jg7Yn4DcPzOlWYzSVohgDK7bAuZvNpRuGlAJN5mFTDWMVmxYz5sm0mDHl/RTfcce4kPEamSYzjlIJbO2x7cHWjhnTZm0ykpy2Zs9017IZp+Bx82wGhKYyTYWZSjHxpvA6AQM/jAq6cQKEfbmJSRPOxIV0/x/C3Of+uHewLTtoduI8OZGNcZFKrlxWOBRwD0txTFS8FMeEp6U4JvCGszsOlMPihwNK1GipjwmaSJOiyrlN+JjbRNVzm/A1tyXnTjQB0LJOc59EFaJYetiyw2TFW3aY9LRlh0nWJBTXyJ6VSQEiCwz9X6szT87eSArYbhux1KRViViaQD5KpVNki6mcgxqXRD9KHNQwhcFvRZXgr/c4sdXRGyS2ujwe3LuUh/3fTFW8/5spT/u/meLgy7Yk3trKxQ+Dj4sf0U4+llyqtt9hvux3OIT1kVN5nWxzOMS9J84bvGnARCfOc0h6xzsTNdUK37T/SvUxHFbIs3IfTk541U5OuC8nJxzWSB/D6+QkhaNUH8OR08ckdWPA3YmSkeSkrLabNaNUcYoBpaTxSVkumX7E7GS+W9+WN0EkrzUk/sEdB3mYIDiqeILgyNcEgdMDZzlGNW0z7EG04bhi0YZjT6INx9nDb+1gNnyws4PZ8MHODmYDzHs4rpFownFyuC3Hsq5g9aAe5aRi9SgnntSjnGQP2i0PrKRG6k1OaE0RSjxs/OOk4o1/nHja+MdJ9lDfEhFao42BnMaH9u5PWqzTmvrS20c1L0BRzComRZ2aCO/NRv/CjlWcmnCsYpQqTpEtNCWp1ETr2it8OGnhVZ/zwqmvXjHgDJhRvcKifsAOM07rhHoGU4mIrYG5BnB0tHAkETEcyzdRlPGmzRlJ5BtGwZ/Y6skF4zX9JCYxrBrLhTnzAXNWNcyZL5gzmco/TIE/sqXK1aYuTdKmQ0pTbnv6cIjCq3aIwn05ROEDHKKMP2zVySEK5yyRfThvIlB9KF541YoX7kvxIrLuxcYHqqiTZl3gBqJTeFjf41WfyMKFp/U9PuC0lnWgs0b+nbk7bWV/grd2C27/x1N6/heqlxk0UZohtOs+EqYSjKyrmtSHBQiv2gKE+7IA4TLrtHV8DNfJQoNLkUowiXHGH//hKzp+S0cDt20lGKnAJRO1VT9aBNaeNUqlU5hwJrLxsB9TZff6i20+A10yDP6E3Bl4PO/I6EcokZnUeBODy6s/jYsvt1P5MPzgVRt+cF+GH1ylFslcpRbJXMkmtq0HVb2AFavqBfSkqhcw61Ro7AFTwBqp4gVMLI0FZM0DqvBh7SGqtvYQvqw9xIAjbcYHap2sNQRCDUQn8sB3ClQx3ymQJ75TII98p0A14jsFEql/UoEaOOMLH4fviKoP3xG+Dt8RAw7fGR+qdTp8R2DaQHRiD2szAle8NiOwp7UZgT0uQQpcoyVIQWJ10vZA36PUj6ogDRSRBfEgIgtSsYgsiCcRWRCPulNBaqQ7FUQC65s1COK3U6lvVkFhA7FLPbiuFrRi19WCenJdLWjWdfX42KVuu3712F0EVv1p49uTT5x+LnI+6xp3Kq6B9/X1bJCGoM/5bAZFawvMU3+vgoomdgcPjhQFrdiRomCeHCkKlj1qYvzuwBp07rhgpIHoZR5cxomqj5kSvo6ZEgOOmVoHemWT0KtiTzJBpp5taThsUGl4E5WC3IdSkFetFOS+lILcp1KQ8yahV8QL1MdufjJ6haAdGOy2dJSMvQfoRy6jKFU7yIBDp1ax9wCXJBQCWo5sl75tYicRGLwSvbTtJKYyjJWwK2C/u4LeCs/fiUTVnUj46kSCgegM189FJ7zq3zy25Ulaod2+qb72gkGGSAx2hGiiplo4r6UWGu5Pw7qHi88PC1m1Flv60mJLn1psWScttqSJoY+QzjnoOwZXUVUG1tBHSJ4Y+gRO0o1S6RQm/NhsKrkaosam58OJtVchQx8hYwejzzsy+lHsYHS3vlXgvagOR3c4F+/yGRZfbWdUsOTOqCo2wBfKkwG+UCQxChKKbjYcsLJxUPXijfK1eKN8Lt6oGi3eSBgznYf1LdpcAJcQlwtwCStmRiX0xIxK6FGik7BGZh4Sis2Galk2qivWeEvkSeMtkUeNt0Q1OhpIIne4csf82GSciUQMfD4qUI8m4QspxF/uO3Em6EnjYD4ozQCAVMyhSOSJQ5HII4ciUZ04FAw3GboxKnkAxxWv4EvsaQVfYo8r+BLX6PBpibnVOSxFTarRpB/F/qBe07dys2G+ZAWgJBA8aWJvuMH/fmCpt9/dBoC5TCJkVa6vBAcfjX7HJ4At61uyyWqc0LJrnG22GuNl11jFe1Yk8bRnRRKPe1YkrdGeFUlRMi4H8bhMcTIu0802StCyRwnKknHZMu7PDhiXKV87LtN4a0aoM508dWlhubt4YOF6d667srJwsbsCWvu6F65CwHRWcztefR0e23nkpaPo3OXbZ19UZ/iO+dunL62eunXlwJk99NarN47svX3ndXz01KEXzy2cv47vzJ84f0XduXv1wIsH2bkL84f2X7r28tKtN15YfvXizYtXzqir8+eOXtp5S64szy2eJdePzN8+cn7u3NHu1av7DzJ87e71I0LtmDt4cunA6Zf2XTjywp45cezimcsHr9xePkmO7t0rz8IjJ146v3Pl+LmXTt2Bdw8cu3Hr5ht70PGbbxy5c5CqpX1n1Ny5xfMnuxeOwduvXT5+4fzNy3tvre5VJ5fmDrxBllbOsDMvyf23T+28iiQ7PI8v3n1137K6gld2Lt2dP0nlqX3nlk4ePXri2sWzpw/sv/Ti0vzx+cW9ZGmOy7OHd+w70j1/ZB4unFg6/YI49/LCPrHn9KW7SxcW3zjywu09J/bsAu3j1xbudhej7+WVkwvLl1cv62o9Y1oXgp8xQfIwGhGm9t54vbscPbtrW3sC5UsHwP8D

    No Bait, Bait, No Bait, Self-K.O.

    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

  4. Expected behavior
    The AI shouldn’t attack a defense position Hamon unless the attacking monster can attack over it via card effect or high enough ATK, if the AI is attacking to activate/trigger an effect, or if the AI is intentionally trying to lose LP. The AI should recognize that a defense position Hamon prevents them from attacking other monsters besides Hamon itself.

  5. What OS are you using
    Windows 10

Do you have a replay tho?

Sorry, new to the forums and YGO Omega. Just added three examples. The third example is a good example how the AI will only attack if it sees a ‘bait’ monster.