Learning to bargain

NEGOTIATING A COALITION: Risk, Quota Shaving, and Learning to Bargain

Knowledge-Based Jobs and the Boundaries of Firms Agent-based simulation of Firms Learning and Workforce Skill Set Dynamics

The article explores how organisations learn to manage their skill endowments. By capitalising on the resource-based theory of the firm, we investigated incentives and bargaining processes giving raise to different organisational forms and different pattern of rents appropriation. We built an agent-based model to simulate a market where employees, bearing skills, bargain their salaries with fir...

What's the Deal? - Identifying Online Bargains

The Internet is home to an ever increasing array of products and services available to the general consumer. This trend has given rise to a unique category of internet search where bargain seekers have conjugated towards deal collection databases. This is caused, in part, because traditional internet search engines do not perform well in this domain. Unfortunately, these deal databases are cost...

Bargain over Joint Plans

This paper studies the problem of multi-agent planning in the environment where agents may need to cooperate in order to achieve their individual goals but they do so only if the cooperation is beneficial to each of them. We assume that each agent has a reward function and a cost function that determines the agent’s utility over all possible plans. The agents negotiate to form a joint plan thro...

Learning Document-Level Semantic Properties from Free-text Annotations

This paper demonstrates a new method for leveraging unstructured annotations to infer semantic document properties. We consider the domain of product reviews, which are often annotated by their authors with free-text keyphrases, such as “a real bargain” or “good value.” We leverage these unstructured annotations by clustering them into semantic properties, and then tying the induced clusters to...