scholarly journals Create by Doing – Action Sequencing in VR

2019 ◽  
pp. 329-335 ◽  
Author(s):  
Flavien Lécuyer ◽  
Valérie Gouranton ◽  
Adrien Reuzeau ◽  
Ronan Gaugne ◽  
Bruno Arnaldi
Keyword(s):  
Action Sequencing

scholarly journals Action sequencing using visual permutations

2021 ◽  
pp. 1-1
Author(s):  
Michael Burke ◽  
Subramanian Ramamoorthy ◽  
Kartic Subr
Keyword(s):  
Action Sequencing

Which epistemics? Whose conversation analysis?

2018 ◽  
Vol 20 (1) ◽  
pp. 57-89 ◽  
Author(s):  
Geoffrey Raymond
Keyword(s):  
Conversation Analysis ◽  
Point Of View ◽  
Special Issue ◽  
Analytic Framework ◽  
Context Specificity ◽  
Standard Methods ◽  
Discourse Studies ◽  
Action Sequencing ◽  
Basic Features ◽  
The Relationship

In a Special Issue of Discourse Studies (2016) titled ‘The Epistemics of Epistemics’, contributing authors criticize Heritage’s research on participants’ orientations to, and management of, the distribution of (rights to) knowledge in conversation. These authors claim (a) that the analytic framework Heritage (and I) developed for analyzing epistemic phenomena privileges the analysts’ over the participants’ point of view, and (b) rejects standard methods of conversation analysis (CA); (c) that (a) and (b) are adopted in developing and defending the use of abstract analytic schemata that offer little purchase on either the specific actions speakers accomplish or the understanding others display of them; and (d) that, by virtue of these deficiencies, claims about the systematic relevance of epistemic phenomena for talk-in-interaction breach long-standing norms regarding the relationship between data analysis and generalizing claims. Using a collection of excerpts bearing on the import of epistemics for action formation and action sequencing, I demonstrate that these claims are patently false and suggest that they reflect the authors’ effort to recast CA as a kind of fundamentalist enterprise. I then consider excerpts from a second collection (of occasions involving the pursuit of one party’s ‘suspicions’ about another’s alleged misdeeds) to illustrate how the form of social organization described by Heritage can be used to explicate other phenomena that depend on systematic alterations to its basic features. In conclusion, I suggest that CA’s success in enhancing our grasp of the organization of talk-in-interaction derives from its unique commitment to both generalization and context specificity, collections and single cases, findings plus a continual openness to the ‘something more’ that each particular case can provide.

Conversation Analysis

2016 ◽  
Author(s):  
Jack Sidnell
Keyword(s):  
Social Sciences ◽  
Social Interaction ◽  
Everyday Life ◽  
Conversation Analysis ◽  
Significant Influence ◽  
Sociological Study ◽  
Turn Taking ◽  
Close Study ◽  
Humanities And Social Sciences ◽  
Action Sequencing

Conversation analysis is an approach to the study of social interaction and talk-in-interaction that, although rooted in the sociological study of everyday life, has exerted significant influence across the humanities and social sciences including linguistics. Drawing on recordings (both audio and video) naturalistic interaction (unscripted, non-elicited, etc.) conversation analysts attempt to describe the stable practices and underlying normative organizations of interaction by moving back and forth between the close study of singular instances and the analysis of patterns exhibited across collections of cases. Four important domains of research within conversation analysis are turn-taking, repair, action formation and ascription, and action sequencing.

Action Sequencing Deficit Following Frontal Lobe Lesion

Neurocase ◽  
2002 ◽  
Vol 8 (1-2) ◽  
pp. 88-99 ◽  
Author(s):  
Sergio Zanini ◽  
Raffaella I. Rumiati ◽  
Tim Shallice
Keyword(s):  
Frontal Lobe ◽  
Action Sequencing ◽  
Frontal Lobe Lesion

Action Sequencing Deficit Following Frontal Lobe Lesion

Neurocase ◽  
2002 ◽  
Vol 8 (1) ◽  
pp. 88-99 ◽  
Author(s):  
Sergio Zanini ◽  
Raffaella I. Rumiati ◽  
Tim Shallice
Keyword(s):  
Frontal Lobe ◽  
Action Sequencing ◽  
Frontal Lobe Lesion

scholarly journals Timing during transitions in Bengalese finch song: implications for motor sequencing

2017 ◽  
Vol 118 (3) ◽  
pp. 1556-1566 ◽  
Author(s):  
Todd W. Troyer ◽  
Michael S. Brainard ◽  
Kristofer E. Bouchard
Keyword(s):  
Negative Correlation ◽  
Transition Probabilities ◽  
Transition Probability ◽  
Strong Positive Correlation ◽  
Strong Negative Correlation ◽  
Bengalese Finch ◽  
Divergence Points ◽  
Probabilistic Sequences ◽  
Action Sequencing ◽  
The Relationship

To investigate mechanisms of action sequencing, we examined the relationship between timing and sequencing of syllables in Bengalese finch song. An individual’s song comprises acoustically distinct syllables organized into probabilistic sequences: a given syllable potentially can transition to several different syllables (divergence points), and several different syllables can transition to a given syllable (convergence points). In agreement with previous studies, we found that more probable transitions at divergence points occur with shorter intersyllable gaps. One intuition for this relationship is that selection between syllables reflects a competitive branching process, in which stronger links to one syllable lead to both higher probabilities and shorter latencies for transitions to that syllable vs. competing alternatives. However, we found that simulations of competitive race models result in overlapping winning-time distributions for competing outcomes and fail to replicate the strong negative correlation between probability and gap duration found in song data. Further investigation of song structure revealed strong positive correlation between gap durations for transitions that share a common convergent point. Such transitions are not related by a common competitive process, but instead reflect a common terminal syllable. In contrast to gap durations, transition probabilities were not correlated at convergence points. Together, our data suggest that syllable selection happens early during the gap, with gap timing determined chiefly by the latency to syllable initiation. This may result from a process in which probabilistic sequencing is first stabilized, followed by a shortening of the latency to syllables that are sung more often. NEW & NOTEWORTHY Bengalese finch songs consist of probabilistic sequences of syllables. Previous studies revealed a strong negative correlation between transition probability and the duration of intersyllable gaps. We show here that the negative correlation is inconsistent with previous suggestions that timing at syllable transitions is governed by a race between competing alternatives. Rather, the data suggest that syllable selection happens early during the gap, with gap timing determined chiefly by the latency to syllable initiation.

scholarly journals Contributions of the basal ganglia to action sequence learning and performance

2019 ◽  
Author(s):  
Eric Garr
Keyword(s):  
Reinforcement Learning ◽  
Basal Ganglia ◽  
Sequence Learning ◽  
Computational Framework ◽  
Action Sequence ◽  
Action Sequences ◽  
The Hierarchical Structure ◽  
And Performance ◽  
Action Sequencing

Animals engage in intricately woven and choreographed action sequences that are constructed from trial-and-error learning. The mechanisms by which the brain links together individual actions which are later recalled as fluid chains of behavior are not fully understood, but there is broad consensus that the basal ganglia play a crucial role in this process. This paper presents a comprehensive review of the role of the basal ganglia in action sequencing, with a focus on whether the computational framework of reinforcement learning can capture key behavioral features of sequencing and the neural mechanisms that underlie them. While a simple neurocomputational model of reinforcement learning can capture key features of action sequence learning, this model is not sufficient to capture goal-directed control of sequences or their hierarchical representation. The hierarchical structure of action sequences, in particular, poses a challenge for building better models of action sequencing, and it is in this regard that further investigations into basal ganglia information processing may be informative.

scholarly journals SAP Speaks PDDL: Exploiting a Software-Engineering Model for Planning in Business Process Management

2012 ◽  
Vol 44 ◽  
pp. 587-632 ◽  
Author(s):  
J. Hoffmann ◽  
I. Weber ◽  
F. M. Kraft
Keyword(s):  
Software Engineering ◽  
Business Process ◽  
Business Process Management ◽  
Large Scale ◽  
Process Management ◽  
Business Environment ◽  
Suitable Model ◽  
Model Based ◽  
Sequencing Problems ◽  
Action Sequencing

Planning is concerned with the automated solution of action sequencing problems described in declarative languages giving the action preconditions and effects. One important application area for such technology is the creation of new processes in Business Process Management (BPM), which is essential in an ever more dynamic business environment. A major obstacle for the application of Planning in this area lies in the modeling. Obtaining a suitable model to plan with -- ideally a description in PDDL, the most commonly used planning language -- is often prohibitively complicated and/or costly. Our core observation in this work is that this problem can be ameliorated by leveraging synergies with model-based software development. Our application at SAP, one of the leading vendors of enterprise software, demonstrates that even one-to-one model re-use is possible. The model in question is called Status and Action Management (SAM). It describes the behavior of Business Objects (BO), i.e., large-scale data structures, at a level of abstraction corresponding to the language of business experts. SAM covers more than 400 kinds of BOs, each of which is described in terms of a set of status variables and how their values are required for, and affected by, processing steps (actions) that are atomic from a business perspective. SAM was developed by SAP as part of a major model-based software engineering effort. We show herein that one can use this same model for planning, thus obtaining a BPM planning application that incurs no modeling overhead at all. We compile SAM into a variant of PDDL, and adapt an off-the-shelf planner to solve this kind of problem. Thanks to the resulting technology, business experts may create new processes simply by specifying the desired behavior in terms of status variable value changes: effectively, by describing the process in their own language.

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