A5066020533- Multi-Agent Systems and Negotiation
- Game Theory and Applications
- Evolutionary Game Theory and Cooperation
- Auction Theory and Applications
- Experimental Behavioral Economics Studies
- Opinion Dynamics and Social Influence
- Reinforcement Learning in Robotics
- Complex Network Analysis Techniques
- Logic, Reasoning, and Knowledge
- Evolutionary Algorithms and Applications
- Game Theory and Voting Systems
- Metaheuristic Optimization Algorithms Research
- Peer-to-Peer Network Technologies
- Optimization and Search Problems
- AI-based Problem Solving and Planning
- Human-Automation Interaction and Safety
- Scheduling and Optimization Algorithms
- Mobile Crowdsensing and Crowdsourcing
- Semantic Web and Ontologies
- Artificial Intelligence in Games
- Access Control and Trust
- Distributed and Parallel Computing Systems
- Recommender Systems and Techniques
- Blockchain Technology Applications and Security
- Team Dynamics and Performance
University of Tulsa
2016-2025
Royal Stoke University Hospital
2011-2023
Google (United States)
2023
Institute of Post Graduate Medical Education and Research
2016-2021
Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences
2021
University Hospitals of North Midlands NHS Trust
2014-2016
North Bengal Medical College and Hospital
2016
Calcutta National Medical College and Hospital
2013
Medical College and Hospital, Kolkata
2013
Tulsa Community College
2006
BackgroundUp to 60% of patients with Crohn's disease need intestinal resection within the first 10 years diagnosis, and postoperative recurrence is common. We investigated whether mercaptopurine can prevent or delay clinical disease.MethodsWe did a randomised, placebo-controlled, double-blind trial at 29 UK secondary tertiary hospitals (aged >16 in Scotland >18 England Wales) who had confirmed diagnosis undergone resection. Patients were randomly assigned (1:1) by computer-generated...
In this paper, we use a genetic algorithm to evolve set of classification rules with real-valued attributes. We show how attribute ranges could be encoded genes and present new uniform method for representing don't cares in the rules. view supervised as an optimization problem, rule sets that maximize number correct classifications input instances. variant Pitt approach genetic-based machine learning system novel conflict resolution mechanism between competing within same set. Experimental...
Coalition formation has been a very active area of research in multiagent systems. Most this concentrated on decentralized procedures that allow self-interested agents to negotiate the coalitions and division coalition payoffs. A different line addressed problem finding optimal into such sum total payoffs all is maximized (Larson Sandholm, 1999). This structure identification problem. Deterministic search algorithms have proposed evaluated under assumption performance independent other...
We present the notion of Social Instruments as mechanisms that facilitate emergence conventions from repeated interactions between members a society. Specifically, we focus on two social instruments: rewiring and observation. Our main goal is to provide agents with tools allow them leverage their network when effectively addressing coordination learning problems, paying special attention dissolving metastable subconventions. initial experiments throw some light how Self-Reinforcing...
No abstract available.
We consider the problem of user agents selecting processor to tasks. assume that are drawn from two populations: high and low-performing processors with different averages but similar variance in performance. For a processor, agent queries other for their high/low rating processors. known percentage "liar" users, who give inverse estimates develop trust mechanism determines number users query given target guarantee threshold likelihood choosing high-performance face such "noisy" reputation...
Social conventions are useful self-sustaining protocols for groups to coordinate behavior without a centralized entity enforcing coordination. We perform an in-depth study of different network structures, compare and evaluate the effects topologies on success rate emergence social conventions. While others have investigated memory learning algorithms, or history past activities reward received by interacting agents not been adequately investigated. propose metric that takes into...
Purpose: This study examines how personal, clinical, and word-level features explain paraphasias when using machine learning–based error analysis on the narratives of people with aphasia (PWA). Method: We used AphasiaBank as source narrative transcript data for 236 PWA. tested learning classification algorithms including decision trees random forests utterances PWA, nonparaphasic words intended were produced. classified target paraphasic or based PWA's age; severity, duration, type; presence...
Automated scheduling agents allow users to concentrate on productive tasks and improve the quality of information processing. The author uses a distributed approach with intelligent design develop efficient meeting scheduling. purpose project is implement software system that meeting-scheduling can negotiate other without compromising their user-specified constraints. A small group researchers in our department runs prototype system, we are using feedback from them interface expand...
We present design considerations for an automated meeting scheduling agent that processes requests on behalf of its associated user. In our formulation the problem, distributed agents, one per user, intelligently exchange information with each other to schedule meetings without compromising user-specified constraints. this paper, we first enumerate various strategies have investigated focus negotiation between agents. Next, demonstrate necessity such a scheduler be adaptive in choice options...