7 citations · 7 across the 8 of their papers we have counts for
8 papers
Evolution of Cooperation in LLM-Agent Societies: A Preliminary Study Using Different Punishment Strategies
Kavindu Warnakulasuriya, Prabhash Dissanayake, Navindu De Silva +4
The evolution of cooperation has been extensively studied using abstract mathematical models and simulations. Recent advances in Large Language Models (LLMs) and the rise of LLM ag…
A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and Sinhala
Surangika Ranathunga, Asanka Ranasinghea, Janaka Shamala +3
This paper presents a multi-way parallel English-Tamil-Sinhala corpus annotated with Named Entities (NEs), where Sinhala and Tamil are low-resource languages. Using pre-trained mul…
Harnessing the power of LLMs for normative reasoning in MASs
Bastin Tony Roy Savarimuthu, Surangika Ranathunga, Stephen Cranefield
Software agents, both human and computational, do not exist in isolation and often need to collaborate or coordinate with others to achieve their goals. In human society, social me…
Norm Violation Detection in Multi-Agent Systems using Large Language Models: A Pilot Study
Shawn He, Surangika Ranathunga, Stephen Cranefield +1
Norms are an important component of the social fabric of society by prescribing expected behaviour. In Multi-Agent Systems (MAS), agents interacting within a society are equipped t…
vue4logs -- Automatic Structuring of Heterogeneous Computer System Logs
Isuru Boyagane, Oshadha Katulanda, Surangika Ranathunga +1
Computer system log data is commonly used in system monitoring, performance characteristic investigation, workflow modeling and anomaly detection. Log data is inherently unstructur…
Dual-State Capsule Networks for Text Classification
Piyumal Demotte, Surangika Ranathunga
Text classification systems based on contextual embeddings are not viable options for many of the low resource languages. On the other hand, recently introduced capsule networks ha…
Metric Learning in Multilingual Sentence Similarity Measurement for Document Alignment
Charith Rajitha, Lakmali Piyarathne, Dilan Sachintha +1
Document alignment techniques based on multilingual sentence representations have recently shown state of the art results. However, these techniques rely on unsupervised distance m…
Embedding agents in business applications using enterprise integration patterns
Stephen Cranefield, Surangika Ranathunga
This paper addresses the issue of integrating agents with a variety of external resources and services, as found in enterprise computing environments. We propose an approach for in…