
Strategic agent-based modeling of financial markets
MP Wellman and E Wah
RSF: The Russell Sage Foundation Journal of the Social Sciences, 3(1): 104–119, 2017.
Abstract
Understanding the implications of algorithmic trading calls for modeling financial markets at a level of fidelity that…

Ethical issues for autonomous trading agents
MP Wellman and U Rajan
Minds and Machines, 27:609-624, 2017.
Abstract
The rapid advancement of algorithmic trading has demonstrated the success of AI automation, as well as gaps in our understanding of the implications of this technology…

Notes on equilibria in symmetric games
Decision makers on supply chains face an uncertain, dynamic, and strategic multiagent environment. We report on Deep Maize, an agent we designed to participate in the 2003 Trading Agent Competition, Supply Chain Management (TAC/SCM) game. Our design employs an idealized equilibrium analysis of the SCM game to factor out the strategic aspects of the environment, and to define an expected profitable zone of operation. Deep Maize applies distributed feedback control to coordinate its separate functional modules and maintain its environment in the desired zone, despite the uncertainty and dynamism. We evaluate our design with results from the TAC/SCM tournament as well as from controlled experiments conducted after the competition.

Automated critiquing of medical decision trees
The authors developed a decision tree-critiquing program (called BUNYAN) that identifies potential modeling errors in medical decision trees. The program's critiques are based on the structure of a decision problem, obtained from an abstract description specifying only the basic semantic categories of the model's components. A taxonomy of node and branch types supplies the primitive building blocks for representing decision trees. Bunyan detects potential problems in a model by matching general pattern expressions that refer to these primitives. A small set of general principles justifies critiquing rules that detect four categories of potential structural problems: impossible strategies, dominated strategies, unaccountable violations of symmetry, and omission of apparently reasonable strategies. Although critiquing based on structure alone has clear limitations, principled structural analysis constitutes the core of a methodology for reasoning about decision models.

Latency arbitrage in fragmented markets: A strategic agent-based analysis
E Wah and MP Wellman
Algorithmic Finance 5:69-93, 2016.
Abstract
We study the effect of latency arbitrage on allocative efficiency and liquidity in fragmented financial markets. We employ a simple model of latency arbitrage in which a…

Adversarial and Uncertain Reasoning for Adaptive Cyber Defense: Building the Scientific Foundation
G Cybenko, S Jajodia, MP Wellman, and P Liu
In: Prakash A., Shyamasundar R. (eds) Information Systems Security. ICISS 2014. Lecture Notes in Computer Science, vol 8880. Springer.
Abstract
Today’s cyber defenses are largely static. They…

Erik Brinkman Defends Thesis Proposal
Erik Brinkman successfully defended his thesis proposal today: Understanding Financial Market Behavior through Empirical Game-Theoretic Analysis.
Congratulations, Erik.

SoK: Security and Privacy in Machine Learning
N Papernot, P McDaniel, A Sinha, and MP Wellman
Third IEEE European Symposium on Security and Privacy, April 2018.
Abstract
Advances in machine learning (ML) in recent years have enabled a dizzying array of applications such as data analytics,…

A Moving Target Defense Approach to Mitigate DDoS Attacks against Proxy-Based Architectures
S Venkatesan, M Albanese, K Amin, S Jajodia, and M Wright
IEEE Conference on Communications and Network Security, Oct 2016.
Abstract
Distributed Denial of Service attacks against high-profile targets have become more frequent in recent…

Moving Target Defense against DDoS Attacks: An Empirical Game-Theoretic Analysis
M Wright, S Venkatesan, M Albanese, and MP Wellman
Third ACM Workshop on Moving Target Defense, Oct 2016.
Abstract
Distributed denial-of-service attacks are a rampant problem facing web applications, for which many defense techniques have…

