TY - JOUR
T1 - POSH-SHARP: A lightweight toolkit for creating cognitive agents
AU - Gaudl, SE
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Agent design is an intricate process requiring skills from different disciplines. Thus experts in one domain are not necessarily experts in the others. Supporting the design of agents is important and needs to address varying skill and expertise as well as varying handling the design of complex agents. In this paper, a new agent design toolkit –POSH-SHARP– for intelligent virtual agents (IVAs) and cognitive embodied agents is presented. It was designed to address the need for a robust agent development framework in highly restrictive environments such as the web or smartphones while being useful to both novice and expert users. It includes advanced functionality such as debug support, explicit design rules using a related design methodology and a simple set-up and distribution mechanism to reduce the authoring burden for large iteratively developed agents. The new framework was implemented in C# and contains sample code for different game environments to offer novice users a starting point.
AB - Agent design is an intricate process requiring skills from different disciplines. Thus experts in one domain are not necessarily experts in the others. Supporting the design of agents is important and needs to address varying skill and expertise as well as varying handling the design of complex agents. In this paper, a new agent design toolkit –POSH-SHARP– for intelligent virtual agents (IVAs) and cognitive embodied agents is presented. It was designed to address the need for a robust agent development framework in highly restrictive environments such as the web or smartphones while being useful to both novice and expert users. It includes advanced functionality such as debug support, explicit design rules using a related design methodology and a simple set-up and distribution mechanism to reduce the authoring burden for large iteratively developed agents. The new framework was implemented in C# and contains sample code for different game environments to offer novice users a starting point.
UR - https://pearl.plymouth.ac.uk/context/secam-research/article/2089/viewcontent/2018__20AISB_AI__20Games_20and_20Virtual_20Reality.pdf
M3 - Conference proceedings published in a journal
VL - 0
JO - Proceedings of AISB Annual Convention 2018
JF - Proceedings of AISB Annual Convention 2018
IS - 0
ER -
