I have been trying to read the articles from the most recent conferences and journals, and I firstly started to check papers in AAAI 2012. There are two articles that I found interesting and related. The articles are as follows.
- Strategic Advice Provision in Repeated Human-Agent Interaction
The paper assumes that agents using equilibrium strategies to interact with human are not successful in repeated settings. It asserts the idea that an agent considering only its own outcome while providing suggestions cannot perform well in long term as the user will learn to deny its suggestions. Hence, the suggestion should be based on the weighted sum of both the agent and the user outcomes. The idea is tested through an experiment. The experiment examines the interaction between a navigation system and a driver. The navigation system (the agent) aims to minimize fuel consumption, while the driver's goal is to reduce travel time. The designed agent which utilises a social utility approach in which both fuel consumption and travel time are tried to be reduced reasonably can gain more through increasing the user's trust in long term.
* The similarity: we aim to form an agent flattening the peak electricity demand, while consumers want to maintain their comfort levels.
- Agent-Human Coordination with Communication Costs under Uncertainty
In this paper an agent design is proposed for efficient agent-human coordination in settings where uncertainty and incomplete information exist. Simply, the agent predicts the people's behaviour through neural network and decides which specific information to deliver to teammate based on the communication cost and the possible outcomes of the information.
* As we are going to use messaging agents among energy consumers, it will be necessary to take the communication costs and the possible outcomes into account so as to increase performance and efficiency.
I read the following papers which are cited in the papers stated above.
- A Study of Computational and Human Strategies in Revelation Games
- Computers in Human Behaviour
- Using Focal Point Learning to Improve Tactic Coordination in Human-Machine Interaction
- Credibility and Determinism in a Game of Persuasion
