Abstract: In various embodiments of the present disclosure, playstyle patterns of players are learned and used to generate virtual representations (“bots”) of users. Systems and methods are disclosed that use game session data (e.g., metadata) from a plurality of game sessions of a game to learn playstyle patterns of users, based on user inputs of the user in view of variables presented within the game sessions. The game session data is applied to one or more machine learning models to learn playstyle patterns of the user for the game, and associated with a user profile of the user. Profile data representative of the user profile is then used to control or instantiate bots of the users, or of categories of users, according to the learned playstyle patterns.

Abstract: A tie has a narrow end and a broad end with a length and a midsection portion along the length with a knot formed in the midsection portion of the tie. The knot forms a first length portion extending from the knot to the broad end of the tie and a second length portion extending from the knot to the narrow end of the tie. The midsection portion of the tie forms the knot and is transverse to the first length portion of the tie. An attachment is provided for securing the second length portion of the tie to the knot. The attachment is wrapped in the knot with the transversely extending midsection portion of the tie substantially covering over the attachment. The attachment has a tubular portion dimensioned to receive the second length portion of the tie therethrough. A method of forming and using the same is disclosed.