Agrawal, Vikas




The AAAI-13 Conference Workshops

AI Magazine

The AAAI-13 Workshop Program, a part of the 27th AAAI Conference on Artificial Intelligence, was held Sunday and Monday, July 14–15, 2013 at the Hyatt Regency Bellevue Hotel in Bellevue, Washington, USA. The program included 12 workshops covering a wide range of topics in artificial intelligence, including Activity Context-Aware System Architectures (WS-13-05); Artificial Intelligence and Robotics Methods in Computational Biology (WS-13-06); Combining Constraint Solving with Mining and Learning (WS-13-07); Computer Poker and Imperfect Information (WS-13-08); Expanding the Boundaries of Health Informatics Using Artificial Intelligence (WS-13-09); Intelligent Robotic Systems (WS-13-10); Intelligent Techniques for Web Personalization and Recommendation (WS-13-11); Learning Rich Representations from Low-Level Sensors (WS-13-12); Plan, Activity, and Intent Recognition (WS-13-13); Space, Time, and Ambient Intelligence (WS-13-14); Trading Agent Design and Analysis (WS-13-15); and Statistical Relational Artificial Intelligence (WS-13-16).


Activity Context-Aware System Architecture for Intelligent Natural Speech Based Interfaces

AAAI Conferences

We propose a reference architecture for intelligent context-aware natural speech-enabled systems delivering complex functionality, with direct access to information, simplifying business processes and activities while providing domain-specific and task-specific depth in interactive banking, insurance, wealth management, finance, clinical, legal, telecom customer service, operations, supply chain, connected living room, and personal assistants. This system understands not just words, but intentions, and context of the interaction. We accomplish this through a marriage of speech recognition with advanced natural language processing techniques, scalable inference and semantic technologies. This architecture is expected to dramatically improve the quality of proactive decision support provided by virtual agents by enabling them to seek explanations, make predictions, generate and test hypothesis and perform what-if-analyses using scalable inference engines. The system can provide extreme personalization (N=1) by inferring user intent, making relevant suggestions, maintaining context, carrying out cost-benefit analysis from multiple perspectives, finding similar cases before they are searched for, finds relevant documents and answers, issues resolved by experts in similar situations. The architecture enables meaningfully correlating, finding and connecting people and information sources through discovery of causal, temporal and spatial relations. We present two examples of demonstrations of concept that we are in the process of building out.


Preface

AAAI Conferences

the AAAI-13 Activity Context-Aware System Architectures workshop builds on the groundwork laid at the first and second workshops at AAAI-11 and AAAI-12, for developing systems that capture, transfer, and recall activity context across multiple devices and platforms, used by people individually and collectively. The scope of the workshop includes finding techniques for creating context, activity-driven systems pro- viding end-user value through monitoring, exchange and support on activities which can be performed better with help of computational devices than otherwise. The consortium and workshop interest is focused on using techniques in artificial intelligence to improve the human-computer interface for better human performance of knowledge work.



Reports of the AAAI 2012 Conference Workshops

AI Magazine

The AAAI-12 Workshop program was held Sunday and Monday, July 22–23, 2012 at the Sheraton Centre Toronto Hotel in Toronto, Ontario, Canada. The AAAI-12 workshop program included 9 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were Activity Context Representation: Techniques and Languages, AI for Data Center Management and Cloud Computing, Cognitive Robotics, Grounding Language for Physical Systems, Human Computation, Intelligent Techniques for Web Personalization and Recommendation, Multiagent Pathfinding, Neural-Symbolic Learning and Reasoning, Problem Solving Using Classical Planners, Semantic Cities. This article presents short summaries of those events.


Activity-Context Aware Computing for Supporting Knowledge-Works

AAAI Conferences

The problem of designing and building effective assistive systems for human agents performing professional knowledge-intensive activities, or knowledge-works is of great interest and has wide implications. In this paper we propose a new approach for solving the problem. The approach is based on activity-context aware computation paradigm that can lead to flexible yet robust systems for holistic support in performing complex knowledge-works. To this end, we also outline here the notion of activity-context and the idea of activity-models as core artifacts used by such systems embodying the notion.


Activity Context Aware Digital Workspaces and Consumer Playspaces: Manifesto and Architecture

AAAI Conferences

We define and propose a manifesto and an architecture for smart digital workspaces and consumer playspaces, that “know” what the user is doing (activity structure, context, goals), how are they doing it (methods), what resources are they using (allocation and discovery), when (time) and where (location, application, device) are they doing it, who are they (profile, history), what is their role (responsibility, security, privacy) and who are their collaborators (social network), all the while observing, recording this context of work and play (institutional and social tribal knowledge). These smart workspaces and playspaces to be developed in the next five years, will let the users seamlessly move between applications and devices without having to remember or copy what they did earlier (activity context transfer and exchange), proactively show them steps others took in meaningfully similar situations before (semantic task reasoning), quickly find and show them directly related information and present answers to questions based on what they mean (proactive semantic extraction and search), in the context they need it, with access to provenance, quality and derivation of information, connect them to insights of experts within the organization and beyond, helping them reason and decide faster, with greater confidence, within a framework for managing, semantically dividing, tracking and enabling distributed work. We report two examples of the application of this architecture: a patient care system in a hospital and an assisted living system.


Reports of the AAAI 2011 Conference Workshops

AI Magazine

The AAAI-11 workshop program was held Sunday and Monday, August 7–18, 2011, at the Hyatt Regency San Francisco in San Francisco, California USA. The AAAI-11 workshop program included 15 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were Activity Context Representation: Techniques and Languages; Analyzing Microtext; Applied Adversarial Reasoning and Risk Modeling; Artificial Intelligence and Smarter Living: The Conquest of Complexity; AI for Data Center Management and Cloud Computing; Automated Action Planning for Autonomous Mobile Robots; Computational Models of Natural Argument; Generalized Planning; Human Computation; Human-Robot Interaction in Elder Care; Interactive Decision Theory and Game Theory; Language-Action Tools for Cognitive Artificial Agents: Integrating Vision, Action and Language; Lifelong Learning; Plan, Activity, and Intent Recognition; and Scalable Integration of Analytics and Visualization. This article presents short summaries of those events.