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  1.  35
    CUBISM: Belief, Anomaly and Social Constructs.Yorick Wilks, Micah Clark, Tomas By, Adam Dalton & Ian Perera - 2014 - Interaction Studies 15 (3):388-403.
    We introduce the CUBISM system for the analysis and deep understanding of multi-participant dialogues. CUBISM brings together two typically separate forms of discourse analysis: semantic analysis and sociolinguistic analysis. In the paper proper, we describe and illustrate major components of the CUBISM system, and discuss the challenge posed by the system’s ultimate purpose, which is to automatically detect anomalous changes in participants’ expressed or implied beliefs about the world and each other, including shifts toward or away from cultural and community (...)
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    CUBISM: Belief, Anomaly and Social Constructs.Yorick Wilks, Micah Clark, Tomas By, Adam Dalton & Ian Perera - 2014 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 15 (3):388-403.
    We introduce the CUBISM system for the analysis and deep understanding of multi-participant dialogues. CUBISM brings together two typically separate forms of discourse analysis: semantic analysis and sociolinguistic analysis. In the paper proper, we describe and illustrate major components of the CUBISM system, and discuss the challenge posed by the system’s ultimate purpose, which is to automatically detect anomalous changes in participants’ expressed or implied beliefs about the world and each other, including shifts toward or away from cultural and community (...)
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    Piagetian Roboethics Via Category Theory Moving Beyond Mere Formal Operations to Engineer Robots Whose Decisions Are Guaranteed to Be Ethically Correct.Selmer Bringsjord, Joshua Taylor, Bram van Heuveln, Konstantine Arkoudas, Micah Clark & Ralph Wojtowicz - 2011 - In M. Anderson S. Anderson (ed.), Machine Ethics. Cambridge Univ. Press.
  4.  51
    Sophisticated Knowledge Representation and Reasoning Requires Philosophy.Selmer Bringsjord, Micah Clark & Joshua Taylor - forthcoming - In Ruth Hagengruber (ed.), Philosophy's Relevance in Information Science.
    Knowledge Representation and Reasoning (KR&R) is based on the idea that propositional content can be rigorously represented in formal languages long the province of logic, in such a way that these representations can be productively reasoned over by humans and machines; and that this reasoning can be used to produce knowledge-based systems (KBSs). As such, KR&R is a discipline conventionally regarded to range across parts of artificial intelligence (AI), computer science, and especially logic. This standard view of KR&R’s participating fields (...)
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