Munindar P. Singh

TL;DR: Defensive deception is a promising approach for cyber defense via defensive deception, the defender can anticipate attacker actions; it can mislead or lure attacker, or hide real resources Although defensive deception is increasingly popular in the research community, there has not been a systematic investigation of its key components, the underlying principles, and its tradeoffs in various problem settings as mentioned in this paper.

TL;DR: Zhang et al. as mentioned in this paper proposed a deep learning-based POI recommendation framework that exploits the neighborhood effect, which captures a user's POI visiting behavior based on the user's preference not only to a POI but also to the POI's neighborhood.

TL;DR: The surprising capabilities demonstrated by AI technologies overlaid on detailed data and fine-grained control give cause for concern that agents can wield enormous power over human welfare, drawing increasing attention to ethics in AI.

TL;DR: Platys as mentioned in this paper is an agent-oriented software engineering (AOSE) framework that supports the development and execution of context-aware personal agents (CPA) adapts to the changing contexts of its user.

TL;DR: An intelligent gateway to facilitate data-driven communication in a resource constraint networks so as to enable the extension of resource constraint sensor/actuator networks to the Internet of Things.