Learning benevolent leadership in a heterogenous agents economy

Benevolent Agents

Theoretical Models for Learning from Multiple, Heterogenous and Strategic Agents

With the advent of internet enabled hand-held mobile devices, there is a proliferation of user generated data. Often there is a wealth of useful knowledge embedded within this data and machine learning techniques can be used to extract the information. However, as much of this data is user generated, it suffers from subjectivity. Any machine learning techniques used in this context should addre...

Asset Prices in a Heterogenous-Agent Economy with Portfolio Constraints∗

Our objective in this article is to study analytically the effect of borrowing constraints on asset returns in an economy where agents are heterogenous with respect to their risk aversion. We use asymptotic analysis to characterize the equilibrium in a general equilibrium exchange economy with an arbitrary number of agents who differ in their risk aversion and face limits on borrowing. We find ...

Asset Pricing Bubble Formation with Heterogenous Agents

In this paper we study the accruement and decay of asset pricing bubbles under the assumption that young agents behave boundedly rational when rst entering the market and then gain more and more experience when growing older, nally reaching a state of perfect rational behavior. Therefore we set up an overlapping generations model where agents form their beliefs about the payo of a risky asset b...

Architectural Principles for Social Influence among Benevolent Agents

Benevolent agents with a high level of autonomy can be designed to be aware of their social influences in order to make sure the overall missions are successful. Additionally, the system of social influences can be engineered to meet the designer’s objectives of predictable agent behavior. In this paper we outline a few agent architecture principles for such agents.