Partially Observable Games for Secure Autonomy

Technology development efforts in autonomy and cyber-defense have been evolving independently of each other, over the past decade. In this paper, we report our ongoing effort to integrate these two presently distinct areas into a single framework. To this end, we propose the two-player partially observable stochastic game formalism to capture both high-level autonomous mission planning under uncertainty and adversarial decision making subject to imperfect information. We show that synthesizing sub-optimal strategies for such games is possible under finite-memory assumptions for both the autonomous decision maker and the cyber-adversary. We then describe an experimental testbed to evaluate the efficacy of the proposed framework

Partially Observable Games for Secure Autonomy

Technology development efforts in autonomy and cyber-defense have been evolving independently of each other, over the past decade. In this paper, we report our ongoing effort to integrate these two presently distinct areas into a single framework. To this end, we propose the two-player partially observable stochastic game formalism to capture both high-level autonomous mission planning under uncertainty and adversarial decision making subject to imperfect information. We show that synthesizing sub-optimal strategies for such games is possible under finite-memory assumptions for both the autonomous decision maker and the cyber-adversary. We then describe an experimental testbed to evaluate the efficacy of the proposed framework

Partially Observable Games for Secure Autonomy

Technology development efforts in autonomy and cyber-defense have been evolving independently of each other, over the past decade. In this paper, we report our ongoing effort to integrate these two presently distinct areas into a single framework. To this end, we propose the two-player partially observable stochastic game formalism to capture both high-level autonomous mission planning under uncertainty and adversarial decision making subject to imperfect information. We show that synthesizing sub-optimal strategies for such games is possible under finite-memory assumptions for both the autonomous decision maker and the cyber-adversary. We then describe an experimental testbed to evaluate the efficacy of the proposed framework

The NBA and the Single Entity Defense: A Better Case?

This Article will explore the relationship between the National Basketball Association, its independently-owned teams, and associated corporate entities, including the Women’s NBA, NBA Properties, NBA Developmental League, NBA China, and single entity analysis under section 1 of the Sherman Act. Section 1 chiefly aims to prevent competitors from combining their economic power in ways that unduly impair competition or harm consumers, be it in terms of raised prices, diminished quality, or limited choices. Single entities are exempt from section 1 because they are considered “one,” rather than competitors, and thus their collaboration does not implicate anticompetitive concerns. In American Needle v. NFL, the Supreme Court will decide whether the National Football League, its teams, and associated corporate entities, constitute a single entity. Other leagues, including the NBA, may be impacted by the Court’s decision. If the NBA were a single entity, it could potentially execute exclusive contracts with video game companies and apparel companies, restrain players’ salaries and employment autonomy, and impose heightened age restrictions on amateur players who seek employment in the NBA, all without concern for section 1 scrutiny. In a recent feature in the Yale Law Journal, I discourage the Court from recognizing the NFL as a single entity but recommend that Congress consider targeted, sports league-related exemptions from section 1. In this Article, I survey whether the NBA’s globalized business agenda and the league’s exposure to competition from foreign professional basketball leagues necessitate that NBA teams act in unison and with a “shared consciousness.” The necessity of cooperation, at least for certain international endeavors, may distinguish NBA teams from teams in NFL, which remain more anchored to domestic operations. To the extent Congress considers legislative exemptions for professional sports leagues, the experience of the NBA, a trailblazer in promoting a league product abroad, may lend insight on how antitrust law should regulate leagues in the years ahead

Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration

Future AI applications require performance, reliability and privacy that the existing, cloud-dependant system architectures cannot provide. In this article, we study orchestration in the device-edge-cloud continuum, and focus on AI for edge, that is, the AI methods used in resource orchestration. We claim that to support the constantly growing requirements of intelligent applications in the device-edge-cloud computing continuum, resource orchestration needs to embrace edge AI and emphasize local autonomy and intelligence. To justify the claim, we provide a general definition for continuum orchestration, and look at how current and emerging orchestration paradigms are suitable for the computing continuum. We describe certain major emerging research themes that may affect future orchestration, and provide an early vision of an orchestration paradigm that embraces those research themes. Finally, we survey current key edge AI methods and look at how they may contribute into fulfilling the vision of future continuum orchestration.Comment: 50 pages, 8 figures (Revised content in all sections, added figures and new section

The corporate managers and stockholders relationship: the moral hazard issue, case of Moroccan listed companies

This paper deals with the moral hazard problem associated with the behavior of corporate managers. The stockholders (shareholders) cannot control ex ante the managers, because the latter’s action is unobservable to the former, and the stockholders cannot oblige the managers to choose an action which is effective and benefit both parties. The stockholders may not modify the impact of action taken by managers if and only if they decide to condition the action payment to the final observable income. In the specific context of emerging markets listed companies in where the level of opacity and the inefficiency to monitor are very high, the revelation principle does not play correctly. Therefore, it is not interesting to the Agent to show his true type. In this Paper we will specifically deal with this type of problem within the framework of companies listed in the Casablanca Stock Exchange. Our approach consists to show the moral hazard issue existing between two parties: the stockholders (i.e., uninformed “Principal”) and the manager namely the Chief Executive Officer (i.e., informed “Agent”).Asymmetrical Information; Moral Hazard; Non-fulfilment of Contract; Governance of Listed Companies; Collusion; Cooperative Game; Stockholders; Corporate Managers; Casablanca Stock Exchange.

Modeling economic systems as locally-constructive sequential games

Real-world economies are open-ended dynamic systems consisting of heterogeneous interacting participants. Human participants are decision-makers who strategically take into account the past actions and potential future actions of other participants. All participants are forced to be locally constructive, meaning their actions at any given time must be based on their local states; and participant actions at any given time affect future local states. Taken together, these essential properties imply real-world economies are locally-constructive sequential games. This paper discusses a modeling approach, Agent-based Computational Economics, that permits researchers to study economic systems from this point of view. ACE modeling principles and objectives are first concisely presented and explained. The remainder of the paper then highlights challenging issues and edgier explorations that ACE researchers are currently pursuing

From Government to Regulatory Governance: Privatization and the Residual Role of the State

This paper reviews the state of thinking on the governance role of public ownership and control. We argue that the transfer of operational control over productive assets to the private sector represents the most desirable governance, due to the inherent difficulty for citizens to constrain political abuse relative to the ability of governments to regulate private activity. However in weak institutional environments the process needs to be structured so as to avoid capture of the regulatory process. The speed of transfer should be timed on the progress in developing a strong regulatory governance system, to which certain residual rights of intervention must be vested. After all, what are “institutions” if not governance mechanisms with some degree of autonomy from both political and private interests? The gradual creation of institutions partially autonomous from political power must become central to the development of an optimal mode of regulatory governance. We advance some suggestions about creating accountability in regulatory governance, in particular creating an internal control system based on a rotating board representative of users, producers and civil society, to be elected by a process involving frequent reporting and disclosure.Regulatory Governance, Privatization