Computing Social Behaviours Using Agent Models
Authors: Paolo Felli, Tim Miller, Christian Muise, Adrian R. Pearce, Liz Sonenberg
IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We devise a computationally grounded mechanism to represent and reason about others in social terms, reflecting the local perspective of an agent (first-person view), to support both stereotypical and empathetic reasoning. We use a hierarchy of agent models to discriminate which behaviours of others are plausible, and decide which behaviour for ourselves is socially acceptable, i.e. conforms to the social context. To this aim, we investigate the implications of considering agents capable of various degrees of theory of mind, and discuss a scenario showing how this affects behaviour. |
| Researcher Affiliation | Academia | Paolo Felli, Tim Miller, Christian Muise, Adrian R. Pearce, Liz Sonenberg Department of Computing and Information Systems, University of Melbourne {paolo.felli,tmiller,christian.muise,adrianrp,l.sonenberg}@unimelb.edu.au |
| Pseudocode | No | The paper provides formal definitions and illustrative examples but does not include any explicitly labeled pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not contain any statements about providing open-source code for the described methodology, nor does it provide a link to a code repository. |
| Open Datasets | No | The paper uses an illustrative 'Wumpus Quest' scenario but does not utilize or reference any publicly available or open datasets for training or evaluation. |
| Dataset Splits | No | The paper presents theoretical concepts and a scenario illustration. It does not conduct empirical experiments on datasets, thus no training, validation, or test dataset splits are mentioned. |
| Hardware Specification | No | The paper focuses on theoretical contributions and does not mention any specific hardware used for computations or experiments. |
| Software Dependencies | No | The paper describes theoretical models and concepts. It does not mention specific software dependencies with version numbers that would be needed to replicate any computational work. |
| Experiment Setup | No | The paper is theoretical and uses a conceptual scenario. It does not describe any specific experimental setup details such as hyperparameters or system-level training settings. |