Posts tagged Emotions and Affect
The Extended Ramp Model: A Biomimetic Model of Behaviour Arbitration for Lightweight Cognitive Architectures

Swen E. Gaudl and Joanna J. Bryson, Cognitive Systems Research, 50:1-9 (this journal seems to count issues as volumes), 2018.

Like the title says, an attempt to simplify and improve on the systems for representing emotions and drives I wrote with Emmanuel Tanguy and Phil Rolphshagen (the Dynamic Emotion Representation (DER) and Flexible Latching respectively, see below).

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The Conceptualisation of Emotion Qualia: Semantic Clustering of Emotional Tweets

Eugene Y. Bann and Joanna J. Bryson, in Proceedings of the Thirteenth Neural Computation and Psychology Workshop (NCPW) which actually took place in July 2012, but finally got published in 2014 (Julien Mayor, ed.).

A chapter length description of our attempt to use social media as a source for a more accurate portrayal of the space of human emotions. Derived from Eugene Bann’s undergraduate dissertation. A more recent paper by the same authors on a related topic came out in 2013 ...

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Measuring Cultural Relativity of Emotional Valence and Arousal using Semantic Clustering and Twitter

Eugene Y. Bann and Joanna J. Bryson, Proceedings of Cognitive Science, 2013.

Considers the most common “emotion” keywords on Twitter, and discovers that some concepts, e.g. sleepiness and sadness, are relatively culturally invariant, but others like “surprise” and “stressed” seem to be used quite differently in different global regions. Also, Europeans are the most positive and excited tweeters. Camera-ready from April 2013.

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Flexible Latching: A Biologically-Inspired Mechanism for Improving the Management of Homeostatic Goals

Philipp Rohlfshagen and Joanna J. Bryson, Cognitive Computation, 2(3):230-241, 2010.

Discusses a simple add-on mechanism for dynamic plans to allow sensible ordering of high-level drives, and explains why this problem is different from detailed action selection. Lots of experiments, some maths and some discussion of the literature on cognitive control in natural and artificial intelligence. Associated software comes with the standard python/jython distribution of BOD.

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Emotions as Durative Dynamic State for Action Selection (pdf)

Emmanuel A. R. Tanguy, Phil J. Willis and Joanna J. Bryson, in IJCAI 2007, presented in Hyderabad in January 2007.

The 6-page version of the AI part of Emmanuel’s PhD on the Dynamic Emotion Representation, which may more generally be useful for selection problems that fall between long-term potentiation (learning) and nerve-cell firing (acting). Associated software.

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A Dynamic Emotion Representation Model Within a Facial Animation System (pdf)

Emmanuel A. R. Tanguy, Phil J. Willis, and Joanna J. Bryson, The International Journal of Humanoid Robotics, 3(3):293-300., 2006

This paper presents a Dynamic Emotion Representation (DER) model, its implementation and an instance of a full humanoid emotional model built with it. Penultimate draft version from May or June 2006. A longer version (which I think is more interesting though some terminology is wrong) is also a Bath technical report CSBU-2005-14, from November 2005

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