Outputs (29)

Artificial life as controlled disequilibrium (2023)
Conference Proceeding
Battle, S. (2023). Artificial life as controlled disequilibrium. In B. Muller (Ed.),

Artificial Life can be modeled using simulated au-topoiesis. Liquid Automata are used to define simulated chemical reaction systems; particle systems with rules governing how particles are transformed on collision with each other. Unlike cellular aut... Read More about Artificial life as controlled disequilibrium.

Problem classification for tailored help desk auto replies (2022)
Conference Proceeding
Nicholls, R., Fellows, R., Battle, S., & Ihshaish, H. (2022). Problem classification for tailored help desk auto replies. In E. Pimenidis, P. Angelov, C. Jayne, A. Papaleonidas, & M. Aydin (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2022 (445-454). https://doi.org/10.1007/978-3-031-15937-4_37

IT helpdesks are charged with the task of responding quickly to user queries. To give the user confidence that their query matters, the helpdesk will auto-reply to the user with confirmation that their query has been received and logged. This auto-re... Read More about Problem classification for tailored help desk auto replies.

Task-oriented dialogue systems: Performance vs. quality-optima, a review (2022)
Conference Proceeding
Fellows, R., Ihshaish, H., Battle, S., Haines, C., Mayhew, P., & Deza, J. I. (2022). Task-oriented dialogue systems: Performance vs. quality-optima, a review. In David C. Wyld et al. (Eds): SIPP, NLPCL, BIGML, SOEN, AISC, NCWMC, CCSIT - 2022 pp. 69-87, 2022. CS & IT - CSCP 2022 (69-87). https://doi.org/10.5121/csit.2022.121306

Task-oriented dialogue systems (TODS) are continuing to rise in popularity as various industries find ways to effectively harness their capabilities, saving both time and money. However, even state-of-the-art TODS are not yet reaching their full pote... Read More about Task-oriented dialogue systems: Performance vs. quality-optima, a review.

Inter-annotator agreement using the Conversation Analysis Modelling Schema, for dialogue (2022)
Journal Article
Duran, N., Battle, S., & Smith, J. (2022). Inter-annotator agreement using the Conversation Analysis Modelling Schema, for dialogue. Communication Methods and Measures, 16(3), 182-214. https://doi.org/10.1080/19312458.2021.2020229

We present the Conversation Analysis Modeling Schema (CAMS), a novel dialogue labeling schema that combines the Conversation Analysis concept of Adjacency Pairs, with Dialogue Acts. The aim is to capture both the semantic and syntactic structure of d... Read More about Inter-annotator agreement using the Conversation Analysis Modelling Schema, for dialogue.

Sentence encoding for dialogue act classification (2021)
Journal Article
Duran, N., Battle, S., & Smith, J. (2023). Sentence encoding for dialogue act classification. Natural Language Engineering, 29(3), 794-823. https://doi.org/10.1017/S1351324921000310

In this study, we investigate the process of generating single-sentence representations for the purpose of Dialogue Act (DA) classification, including several aspects of text pre-processing and input representation which are often overlooked or under... Read More about Sentence encoding for dialogue act classification.

The natural connectivity of autonomous systems (2020)
Journal Article
Battle, S. (2020). The natural connectivity of autonomous systems. Rivista Italiana di Filosofia del Linguaggio, 14(2), 1-16. https://doi.org/10.4396/AISB201901

The principle of biological autonomy, introduced by Francisco J. Varela, addresses the dilemma of Cartesian mind-body dualism by re-casting mind and body, or subject and object, observer and observed, not as irreconcilable categories, but as compleme... Read More about The natural connectivity of autonomous systems.

Investigating the feasibility of using wearable technologies and machine learning techniques to recognise distress and agitation in people living with dementia (2020)
Journal Article
Steer, Z., Pipe, A., Battle, S., & Cheston, R. (2020). Investigating the feasibility of using wearable technologies and machine learning techniques to recognise distress and agitation in people living with dementia. Alzheimer's and Dementia, 16(S7), Article e039705. https://doi.org/10.1002/alz.039705

The natural connectivity of autonomous systems (2019)
Presentation / Conference
Battle, S. (2019, April). The natural connectivity of autonomous systems. Paper presented at 2019 AISB Convention, Falmouth, UK

The concept of enaction, or embodied cognition, de- scribed by Varela et al., aims to resolve the the dilemma of Cartesian mind-body dualism by re-casting these categories as complementary explanations of the same phenomena. This paper explores Varel... Read More about The natural connectivity of autonomous systems.

A smart contract model for agent societies (2018)
Conference Proceeding
Tumminelli, M., & Battle, S. (2018). A smart contract model for agent societies. In UK-RAS Conference: ‘Robots Working For & Among Us’ Proceedings

This paper presents a solution to the exchange of services within an agent society. We explore an open delivery chain scenario in which autonomous drones offer and subcontract delivery services to each other. Such agents are able to self-organize acc... Read More about A smart contract model for agent societies.

Conversation analysis structured dialogue for multi-domain dialogue management (2018)
Presentation / Conference
Duran, N., & Battle, S. (2018, December). Conversation analysis structured dialogue for multi-domain dialogue management. Paper presented at The International Workshop on Dialogue, Explanation and Argumentation in Human-Agent Interaction (DEXAHAI), Southampton

Dialogue state tracking is a vital component of task-oriented dialogue systems. Often, dialogue states are constrained by their target domains entity's, slots and values. Adding new domains and knowledge may require laborious hand-crafting or retrain... Read More about Conversation analysis structured dialogue for multi-domain dialogue management.