We present an approach that uses learning from demonstration in a computer role playing game. We describe a behavior engine that uses case-based reasoning. The behavior engine accepts observation traces of human playing decisions and produces a sequence of actions which can then be carried out by an artificial agent within the gaming environment. Our work focuses on team-based role playing games, where the agents produced by the behavior engine act as team members within a mixed human-agent team. We present the results of a study we conducted, where we assess both the quantitative and qualitative performance difference between human-only teams compared with hybrid human-agent teams.
In a recent Wall Street Journal essay, Marc Andreessen wrote: “Software is eating the world. Over the next 10 years, I expect many more industries to be disrupted by software. Healthcare and education are next up for fundamental software-based transformation.”
What is the impending disruption in healthcare, and what is PARC doing in this space? I’ll provide an overview of PARC’s healthcare program, including market need, business opportunity, and research thrusts.
A key insight is that health and healthcare are two different markets. I’ll explain what this means and why this creates breakthrough opportunities for Augmented Social Cognition—in particular, through the confluence of three technologies: social, mobile, and gamification. Under the hood, artificial Intelligence (AI) techniques are used to augment human cognition and interaction, creating a new generation of “intelligent social web” technologies.
These technologies combine the benefits of the “information web” with those of the “social web”, enabling new consumer-centric approaches to health and wellness that increase engagement, improve health literacy and promote behavior change. I’ll give several examples of new technologies in the market and highlight research challenges that still need to be addressed.
I’m looking to engage, not to lecture, so come prepared to discuss, argue, and share ideas!Keynote talk at WWW-2012 Web Intelligence & Communities workshop, Lyon, France, April 16, 2012. Invited seminar at XRCE research center, Grenoble, France, April 18, 2012.
We develop an innovative approach to delivering relevant information using a combination of socio-semantic search and filtering approaches. The goal is to facilitate timely and relevant information access through the medium of conversations by mixing past community specific conversational knowledge and web information access to recommend and connect users and information together. Conversational Information Access is a socio-semantic search and recommendation activity with the goal to interactively engage people in conversations by receiving agent supported recommendations. It is useful because people engage in online social discussions unlike solitary search; the agent brings in relevant information as well as identifies relevant users; participants provide feedback during the conversation that the agent uses to improve its recommendations.
Socio-Semantic Conversational Information Access
by Saurav Sahay, Ashwin RamWWW-2012 Workshop on Community Question Answering on the Web (CQA-12).
Taking Advantage of Now:
The Consumer Health & Wellness Scene
- Lifestyle Innovation: defining successful business models
- Opportunities on the horizon for corporates and investors
- Innovation Partnering: strategic alliances at work to maximize consumer health & wellness appetite
- Moving Goalposts: Market assessment to increase product pipelines
- Will Rosenzweig, co-founder and Managing Director – Physic Ventures
- Mark Murrison, President, Marketing and Innovation – MDVIP
- Jack Young, Senior Investment Manager – Qualcomm Ventures
- Mark Kapcynski, Corporate Development – Experian Consumer Direct
- John Deedrick, Managing Director – Linn Grove Ventures
- Ashwin Ram, Research Fellow & Area Manager of Socio-cognitive Computing, PARC a Xerox company