The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind

By Marvin Minsky. 2006

674 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computational Theory and Mathematics, History and Philosophy of Science

View Paper: https://www.semanticscholar.org/paper/8b2e9d7176144bcb9a0f1e3cf09fabf675085ed4

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Citations in the corpus

On Defining Artificial Intelligence (2019, background): “…AI”—as the solving of different problems usually requires different theories and techniques, there is little hope to find a non-trivial foundation for all of them, and consequently, AI will not become a branch of science or engineering, but a “suitcase word” (Minsky, 2006) that has no core meaning.”
The Hourglass of Emotions (2011, background): “The Hourglass of Emotions is a brain-inspired and psychologically-motivated model based on the idea that the mind is made of different independent resources and that emotional states result from turning some set of these resources on and turning another set of them off [1].”
Principles of Synthetic Intelligence: Psi: An Architecture of Motivated Cognition (2009, background): “While there is a history of publications that focus on conceptualization of architectures for modeling the human mind (Minsky, 1986, 2006; Franklin, 2000; Sloman, 2001; Brooks, 1986; Winograd & Flores, xvi Preface: Building blocks for a mind 1986), most work in artifi cial intelligence is slanted…”
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society (2023, background): “Communication between agents has been studied for a long time [76, 77].”
Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability (2018, background): “And if accountability requires seeing a system well enough to understand it—and if Minsky (2007: 6) is right that if “you ‘understand’ something in only one way, then you scarcely understand it at all”—then using transparency for accountability begs the question of what, exactly, is being held to…”
Augmenting End-to-End Dialogue Systems With Commonsense Knowledge (2018, background): “The question, after all, is not whether intelligent machines can have any emotions, but whether machines can be intelligent without any emotions (Minsky 2006).”
Troubling Trends in Machine Learning Scholarship (2018, background): “What sort of papers best serve their readers? We can enumerate desirable characteristics: these papers should (i) provide intuition to aid the reader’s understanding, but clearly distinguish it from stronger conclusions supported by evidence; (ii) describe empirical investigations that consider and ”
Sentic patterns: Dependency-based rules for concept-level sentiment analysis (2014, background): “Such a reinterpretation is inspired by Minsky’s theory of the mind, according to which brain activity consists of different independent resources and that emotional states result from turning some set of these resources on and turning another set of them off [26].”
Mirages: On Anthropomorphism in Dialogue Systems (2023, background): “‘me’ or ‘myself’) in system output may be a contributing factor to this perception, as these can be read as signs of consciousness (Faber, 2020; Minsky, 2006).”
Self-Collaboration Code Generation via ChatGPT (2023, neutral): “The software development lifecycle (SDLC) breaks up the process of creating a software system into discrete stages, including requirement analysis, planning and design, coding, testing, deployment, and maintenance.”
CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society (2023, background): “Communication between agents has been studied for a long time [44, 45].”
Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale (2022, background): “Besides, from users ’ perspective, AI usually has more biological and social attributes than general digital technology (Minsky 2007; Poria et al. 2017; Tao and Tan 2005).”