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Planning at the neighbourhood scale: localism, dialogic politics, and the modulation of community action

Gavin Parker, Emma Street
2015 Environment and Planning. C, Government and Policy  
The paper argues that the detail of neighbourhood-scale actions warrant further attention, especially as governmental enthusiasm for dialogical modes of politics shows no sign of abating.  ...  The paper brings together these literatures to analyse the points at which modulation occurs in the community planning process.  ...  Finalising your plan Deliver and monitor actions 8. Implementing and monitoring actions 9.  ... 
doi:10.1068/c1363 fatcat:k444zvy3szflrpam3twkckt2xi

Implementing Norms That Govern Non-dialogical Actions [chapter]

Viviane Torres da Silva
2008 Lecture Notes in Computer Science  
In additions, only one that provides support for implementing norms deals with non-dialogical actions since the others only deal with dialogical actions, i.e., actions that provide the interchange of messages  ...  In this paper we propose the implementation of norms that govern non-dialogical actions by extending one of the approaches that regulate dialogical ones.  ...  fact <-(non-dialogical-action-plan (entity kicker)(plan play)(action getBall)) ?  ... 
doi:10.1007/978-3-540-79003-7_17 fatcat:s2v7gpxgdfg7zlbk2jywgshl2y

Companion-Technology: Towards User- and Situation-Adaptive Functionality of Technical Systems

Frank Honold, Pascal Bercher, Felix Richter, Florian Nothdurft, Thomas Geier, Roland Barth, Thilo Hornle, Felix Schussel, Stephan Reuter, Matthias Rau, Gregor Bertrand, Bastian Seegebarth (+5 others)
2014 2014 International Conference on Intelligent Environments  
Then, a valid plan for the initial planning problem is available and the first action of the sequence of tasks can be passed on to the dialog management. V.  ...  For each possible action, (or according to [3] : its task description), there is a dialog model available consisting of multiple dialog steps which each achieve parts of the desired effects of the action  ... 
doi:10.1109/ie.2014.60 dblp:conf/intenv/HonoldBRNGBHSRRBSKSM0B14 fatcat:bxpxdfo3frbbnlpctorcrdi5um

Scaling POMDPs for Spoken Dialog Management

Jason D. Williams, Steve Young
2007 IEEE Transactions on Audio, Speech, and Language Processing  
work has been limited to trivially small dialog tasks.  ...  Index Terms-Decision theory, dialogue management, partially observable Markov decision process, planning under uncertainty, spoken dialogue system.  ...  A conditional plan is used to choose actions by first taking the action specified by the root node (layer t).  ... 
doi:10.1109/tasl.2007.902050 fatcat:prlunud5irg7djjgqqql4nohty

Conscious Behavior through Reflexive Dialogs [chapter]

Pierre Bonzon
2003 Lecture Notes in Computer Science  
We extend this machine's planning language by introducing two specific operators for reflexive dialogs i.e., conscious and caught for monitoring beliefs and actions, respectively.  ...  Toward this end, we express a single agent's plans as reflexive dialogs in a multi-agent system defined by a virtual machine.  ...  Section 3 shows how to represent any single agent's plans as a reflexive dialog. Section 4 proposes the language extension allowing for the agent to reflect on his actions.  ... 
doi:10.1007/978-3-540-39451-8_14 fatcat:ck5glznrn5fzrk6dktwghybetq

Online adaptation of dialog strategies based on probabilistic planning

Steffen Muller, Sina Sprenger, Horst-Michael Gross
2014 The 23rd IEEE International Symposium on Robot and Human Interactive Communication  
Central element of the dialog system is a probabilistic model of the user's reactions to the robot's behavior, which is learned online and used for a probabilistic planning process based on message passing  ...  In this paper, a dialog modeling approach for longterm interaction between a service robot and a single user is presented, which enables a user-adaptive interaction behavior of the robot.  ...  Then, the top of the stack of active sub-dialogs in the dialog manager is considered for action selection where the planning inference is applied to select an action, which is expressed by output renderer  ... 
doi:10.1109/roman.2014.6926333 dblp:conf/ro-man/MullerSG14 fatcat:uwysxp7lxbc77nhcevhi73csou

Dialog Designs in Virtual Drama: Balancing Agency and Scripted Dialogs [chapter]

Edward Chao-Chun Kao, Von-Wun Soo
2012 Lecture Notes in Computer Science  
In addition, we introduce the manner in which agents may improvise scripted dialogs by selecting various courses of actions.  ...  Therefore, our initial goal was to enable story generators to generate dialogs as sets of character-based actions that are integrated with original story plots.  ...  Fabula and sujet, when formulated as actions, may be generated with POP-based planning.  ... 
doi:10.1007/978-3-642-32326-3_4 fatcat:qhhbimn6tbhbraqnhlxkb77g3q

Modeling Human Interaction to Design a Human-Computer Dialog System [article]

Alain Loisel, Jean-Philippe Kotowicz
2009 arXiv   pre-print
An experiment has been set up to obtain human dialogs related to such searches. The analysis of these dialogs underlines the establishment of a common ground and accommodation effects to the user.  ...  There exist two types of plans: • question plans (planQ), in the sense of QUD, which aim at answering inquiries by returning data; • action plans (planA), which run a sequence of actions.  ...  from the plan library to Plan, to use accomodation rules when a non expected speech act is found, to move the current action from Plan to Agenda, to clean the IS, to perform the action in Agenda.  ... 
arXiv:0911.5652v1 fatcat:x5mthaserzcw5julonu3ifhkvu

Reinforcement Learning in Multi-Party Trading Dialog

Takuya Hiraoka, Kallirroi Georgila, Elnaz Nouri, David Traum, Satoshi Nakamura
2015 Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue  
The negotiation strategy of the learner is learned through simulated dialog with trader simulators.  ...  In this paper, we apply reinforcement learning (RL) to a multi-party trading scenario where the dialog system (learner) trades with one, two, or three other agents.  ...  Select an action implementing the plan that was chosen in the previous step, as follows: if the plan is completed (i.e., the simulator reached the goal), the policy will select Keep as an action.  ... 
doi:10.18653/v1/w15-4605 dblp:conf/sigdial/HiraokaGNTN15 fatcat:txsllfwf5jhedhmdso6h5425gm

4.5.4 Dialogic design for the intelligent enterprise: Collaborative strategy, process, and action

Peter H. Jones, Alexander N. Christakis, Thomas R. Flanagan
2007 INCOSE International Symposium  
Each focus inquiry iterates from deep problem understanding, to generative solution design, through consensus action planning.  ...  We applied Structured Dialogic Design to the transformation of a small consultancy, with findings applicable to any enterprise.  ...  It provides an explicit basis for strategic planning, and the same dialogic design process may also be extended to directly support the strategic planning process itself.  ... 
doi:10.1002/j.2334-5837.2007.tb02906.x fatcat:cck77nazrzhk7kdxtaw4xd4vna

Shaping Policy on Chronic Diseases through National Policy Dialogs in CHRODIS PLUS

Dorota Sienkiewicz, Alison Maassen, Iñaki Imaz-Iglesia, Elisa Poses-Ferrer, Helen McAvoy, Rita Hogan, Miguel Telo de Arriaga, Andrew Barnfield
2020 International Journal of Environmental Research and Public Health  
In the joint action CHRODIS PLUS, national policy dialogs were conducted in fourteen EU Member States.  ...  In this paper, we present the CHRODIS PLUS policy dialog methodology, as well as results and lessons learnt from three national policy dialogs held in Ireland, Portugal and Spain.  ...  The dialogs set the groundwork for future joint activities (e.g., the action plan, working groups).  ... 
doi:10.3390/ijerph17197113 pmid:32998399 fatcat:ud2xybfpfreglozit5quewxvee

Temporal supervised learning for inferring a dialog policy from example conversations

Lihong Li, He He, Jason D. Williams
2014 2014 IEEE Spoken Language Technology Workshop (SLT)  
Learning in this setting is challenging because dialog is a temporal process in which actions affect the future course of the conversation -i.e., dialog requires planning.  ...  The key idea is to choose the next dialog action to maximize the expected discounted accuracy until the end of the dialog.  ...  Finally, we plan to evaluate with a real end-to-end dialog system.  ... 
doi:10.1109/slt.2014.7078593 dblp:conf/slt/LiHW14 fatcat:6suptdjc5ngexopo2xfab5nkue

Affective Advice Giving Dialogs [chapter]

Addolorata Cavalluzzi, Valeria Carofiglio, Fiorella de Rosis
2004 Lecture Notes in Computer Science  
In affective dialog simulation, recognition and interpretation of the affective state of the user should be integrated with display of empathy by the system and with dialog planning and execution.  ...  We describe how we integrated these models in an information-state approach to dialog modeling by illustrating, in particular, their application to a decision support system which is tailored to the 'state  ...  Acknowledgements We thank Berardina Nadja De Carolis for helpful suggestions on the reactive planning aspects of this research and Giuseppe Cellamare for cooperating to implementation of the prototype.  ... 
doi:10.1007/978-3-540-24842-2_8 fatcat:yu7s66u3qrcszpba3u4ehuaueu

Reinforcement Learning of Multi-Party Trading Dialog Policies

Takuya Hiraoka, Kallirroi Georgila, Elnaz Nouri, David Traum, Satoshi Nakamura
2015 Transactions of the Japanese society for artificial intelligence  
Furthermore, we compare the learned dialog policies with two strong hand-crafted baseline dialog policies.  ...  Trading dialogs are a kind of negotiation in which an exchange of ownership of items is discussed, and these kinds of dialogs are pervasive in many situations.  ...  If the plan is not completed and there is a pending offer which will allow the plan to move forward, the policy will select Accept as an action. Otherwise, the policy will select Offer as an action.  ... 
doi:10.1527/tjsai.b-fc1 fatcat:vuimyaau7zbmthtvonmwh2ofeq

Page 24 of Computational Linguistics Vol. 14, Issue 3 [page]

1988 Computational Linguistics  
However, in apprentice-expert dialogs, the overall task that the apprentice is attempting to perform is known at the outset of the dialog, and the ordering of actions and subtasks in the plan being executed  ...  In such dialogs, the informa- tion-seeker’s utterances are not tightly constrained by the order in which actions in the task will eventually be executed.  ... 
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