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A retrieval-based chatbot ́s opinion on the trolley problemBjörklin, Hampus, Abrahamsson, Tim, Widenfalk, Oscar January 2021 (has links)
The goal of this project was to create a chatbot capable of debating a user using limited resources including a discussion thread from the online debate forum Kialo. A retrieval based bot was designed and the discussion thread was converted into a database which the bot could interpret and choose an appropriate answer from. Which answer is appropriate is decided by the bot using a few key features in a given input sentence. The main features are word similarity, sentiment distance and BERT-encoding (a model for vector representation of text created by Google). The similarity of these features where then used to score claims from the dataset. Combining and weighting the scores was then used to find the correct response to a given input sentence. The most successful of the features was BERT-encoding. Once the bot had been refined it was brought online and tested using the communication platform Discord.
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Computational model for morality and emotions in EmoBN / Beräkningsmodell för moral och emotioner i EmoBNFröcklin, Henry January 2014 (has links)
This master thesis presents an approach on how to design moral behaviour in a scenario with een. een is an iteration of emobn which is based on bn, an action selection system with activation dynamics among modules, goal oriented and capable of prediction and planing. The design is based on current research from prominent psychologist like Haidt and uses Mikhial’s umg framework for causal and intentional validation. Also Roseman’s appraisal model and Haidt’s mft is used for determining moral emotions in a moral context. The design is tested against empirical results from philosophical experiment know as the trol- ley problem, a well known moral dilemma.
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