Kagan's Atlantic Crossing: Adversarial Legalism, Eurolegalism, and Cooperative Legalism

"And They Were Silent": Reflections on Legalism

Radbruch’s Rechtsstaat and Schmitt’s Legal Order: Legalism, Legality, and the Institution of Law

This article forages the fruits of Radbruch’s Legal Philosophy of 1932, taking into account his writings after the horrors of National Socialism in Germany. This contribution builds on the findings of my chapter concerning Radbruch’s inquiry into the origins of the criminal law, in Foundational Texts in Modern Criminal Law. In that chapter I present the rise of the sovereign state as a precondi...

Holistic Perspective on Legalism and Justice in Indian Family Law A Critical Review Essay on Redefining Family Law in India

An interesting book came on my table. It bolstered my passion to understand one crucial legal question; how is family law in India viewed by legal scholars and practitioners of present age? This question bears a thorough legal examination particularly for a subject like family law where customary traditions of cultural mindsets juxtapose current modernity of legal reasoning for a serious role t...

Adversarial Models for Cooperative Interactions

Existing models for concurrent and distributed systems are cooperative by nature. In a cooperative setting, all participants implicitly or tacitly work together towards a common goal. We propose to employ a fundamentally adversarial viewpoint instead. In an adversarial setting there is no a priori notion of common goal; instead, each participant may pursue individual goals unknown to the other ...

Adversarial Cooperative Path-Finding: A First View

An adversarial version of the problem of cooperative path-finding (CPF) in graphs is addressed. Two or more teams of agents compete in finding paths in the graph to given destination vertices. The task is to control agents of a selected team so that its agents reach their destinations before agents of adversaries. Tactics such a blocking agents of the adversary or protecting own agents are allo...