no code implementations • 6 Apr 2024 • Biplav Srivastava, Vishal Pallagani
Foundation Models (FMs) have revolutionized many areas of computing, including Automated Planning and Scheduling (APS).
no code implementations • 20 Feb 2024 • Sai Krishna Revanth Vuruma, Ashley Margetts, Jianhai Su, Faez Ahmed, Biplav Srivastava
Generative Artificial Intelligence (AI) has shown tremendous prospects in all aspects of technology, including design.
no code implementations • 30 Jan 2024 • Kausik Lakkaraju, Vedant Khandelwal, Biplav Srivastava, Forest Agostinelli, Hengtao Tang, Prathamjeet Singh, Dezhi Wu, Matt Irvin, Ashish Kundu
Artificial intelligence (AI) has the potential to transform education with its power of uncovering insights from massive data about student learning patterns.
no code implementations • 4 Jan 2024 • Vishal Pallagani, Kaushik Roy, Bharath Muppasani, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit Sheth
Automated Planning and Scheduling is among the growing areas in Artificial Intelligence (AI) where mention of LLMs has gained popularity.
no code implementations • 28 Sep 2023 • C. A. Jothishwaran, Biplav Srivastava, Jitin Singla, Sugata Gangopadhyay
The logical analysis of data, LAD, is a technique that yields two-class classifiers based on Boolean functions having disjunctive normal form (DNF) representation.
no code implementations • 18 Sep 2023 • Siva Likitha Valluru, Biplav Srivastava, Sai Teja Paladi, Siwen Yan, Sriraam Natarajan
Building teams and promoting collaboration are two very common business activities.
no code implementations • 9 Sep 2023 • Biplav Srivastava, Kausik Lakkaraju, Tarmo Koppel, Vignesh Narayanan, Ashish Kundu, Sachindra Joshi
Chatbots, the common moniker for collaborative assistants, are Artificial Intelligence (AI) software that enables people to naturally interact with them to get tasks done.
no code implementations • 25 Jul 2023 • Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Raghava Mutharaju, Michael N. Huhns, Vignesh Narayanan
Ontologies are known for their ability to organize rich metadata, support the identification of novel insights via semantic queries, and promote reuse.
no code implementations • 25 Jul 2023 • Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Forest Agostinelli
The fastest solver today for RC is DeepCubeA with a custom representation, and another approach is with Scorpion planner with State-Action-Space+ (SAS+) representation.
no code implementations • 14 Jul 2023 • Marianna B. Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Brent Venable
Values that are relevant to a specific decision scenario are used to decide when and how to use each of these nudging modalities.
no code implementations • 8 Jul 2023 • Kausik Lakkaraju, Sai Krishna Revanth Vuruma, Vishal Pallagani, Bharath Muppasani, Biplav Srivastava
Increasingly powerful Large Language Model (LLM) based chatbots, like ChatGPT and Bard, are becoming available to users that have the potential to revolutionize the quality of decision-making achieved by the public.
no code implementations • 25 May 2023 • Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava, Lior Horesh, Francesco Fabiano, Andrea Loreggia
Firstly, we want to understand the extent to which LLMs can be used for plan generation.
no code implementations • 25 Apr 2023 • Surjodeep Sarkar, Manas Gaur, L. Chen, Muskan Garg, Biplav Srivastava, Bhaktee Dongaonkar
Virtual Mental Health Assistants (VMHAs) are seeing continual advancements to support the overburdened global healthcare system that gets 60 million primary care visits, and 6 million Emergency Room (ER) visits annually.
no code implementations • 7 Mar 2023 • Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava
The concept of Artificial Intelligence has gained a lot of attention over the last decade.
no code implementations • 4 Feb 2023 • Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta
Then, we will outline challenges and vision for a principled, multi-modal, causality-based rating methodologies and its implication for decision-support in real-world scenarios like health and food recommendation.
no code implementations • 4 Feb 2023 • Kausik Lakkaraju, Biplav Srivastava, Marco Valtorta
Sentiment Analysis Systems (SASs) are data-driven Artificial Intelligence (AI) systems that, given a piece of text, assign one or more numbers conveying the polarity and emotional intensity expressed in the input.
no code implementations • 16 Dec 2022 • Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Lior Horesh, Biplav Srivastava, Francesco Fabiano, Andrea Loreggia
Large Language Models (LLMs) have been the subject of active research, significantly advancing the field of Natural Language Processing (NLP).
no code implementations • 16 Dec 2022 • Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett Robertson, Andrea Hickerson, Vignesh Narayanan
Chatbots, or bots for short, are multi-modal collaborative assistants that can help people complete useful tasks.
1 code implementation • 30 Aug 2022 • Bharath Muppasani, Cheyyur Jaya Anand, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri
The state identification problem seeks to identify power usage patterns of any system, like buildings or factories, of interest.
no code implementations • 31 Mar 2022 • Vishal Pallagani, Priyadharsini Ramamurthy, Vedant Khandelwal, Revathy Venkataramanan, Kausik Lakkaraju, Sathyanarayanan N. Aakur, Biplav Srivastava
This demands a need for better representation of the recipes, overcoming the ambiguity and sparseness that exists in the current textual documents.
no code implementations • 18 Jan 2022 • Marianna B. Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Brent Venable
Current AI systems lack several important human capabilities, such as adaptability, generalizability, self-control, consistency, common sense, and causal reasoning.
no code implementations • 13 Jan 2022 • Biplav Srivastava, Tarmo Koppel, Sai Teja Paladi, Siva Likitha Valluru, Rohit Sharma, Owen Bond
We introduce an emerging AI-based approach and prototype system for assisting team formation when researchers respond to calls for proposals from funding agencies.
no code implementations • 5 Oct 2021 • Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
AI systems have seen dramatic advancement in recent years, bringing many applications that pervade our everyday life.
no code implementations • 19 Jul 2021 • Francesco Fabiano, Biplav Srivastava, Jonathan Lenchner, Lior Horesh, Francesca Rossi, Marianna Bergamaschi Ganapini
Epistemic Planning (EP) refers to an automated planning setting where the agent reasons in the space of knowledge states and tries to find a plan to reach a desirable state from the current state.
no code implementations • 12 May 2021 • Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit Sheth
During the ongoing COVID-19 crisis, subreddits on Reddit, such as r/Coronavirus saw a rapid growth in user's requests for help (support seekers - SSs) including individuals with varying professions and experiences with diverse perspectives on care (support providers - SPs).
no code implementations • 27 Feb 2021 • Biplav Srivastava
Artificial Intelligence (AI) technologies have long been positioned as a tool to provide crucial data-driven decision support to people.
no code implementations • 12 Oct 2020 • Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jon Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava
This paper proposes a research direction to advance AI which draws inspiration from cognitive theories of human decision making.
1 code implementation • WS 2019 • Avijit Thawani, Biplav Srivastava, Anil Singh
Downstream evaluation of pretrained word embeddings is expensive, more so for tasks where current state of the art models are very large architectures.
1 code implementation • 9 Nov 2018 • Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian Molloy, Biplav Srivastava
While machine learning (ML) models are being increasingly trusted to make decisions in different and varying areas, the safety of systems using such models has become an increasing concern.
no code implementations • 14 Oct 2018 • Selmer Bringsjord, Naveen Sundar Govindarajulu, Atriya Sen, Matthew Peveler, Biplav Srivastava, Kartik Talamadupula
We briefly introduce herein a new form of distributed, multi-agent artificial intelligence, which we refer to as "tentacular."
no code implementations • 23 Sep 2018 • Himadri Mishra, Ramashish Gaurav, Biplav Srivastava
Trains are part-and-parcel of every day lives in countries with large, diverse, multi-lingual population like India.
no code implementations • 22 Sep 2018 • Ravi Kiran Raman, Roman Vaculin, Michael Hind, Sekou L. Remy, Eleftheria K. Pissadaki, Nelson Kibichii Bore, Roozbeh Daneshvar, Biplav Srivastava, Kush R. Varshney
Large-scale computational experiments, often running over weeks and over large datasets, are used extensively in fields such as epidemiology, meteorology, computational biology, and healthcare to understand phenomena, and design high-stakes policies affecting everyday health and economy.
no code implementations • 16 Sep 2018 • Biplav Srivastava
Open data refers to data that is freely available for reuse.
no code implementations • 31 Jul 2018 • Biplav Srivastava, Francesca Rossi
The possibly biased behavior of a service is hard to detect and handle if the AI service is merely being used and not developed from scratch, since the training data set is not available.
2 code implementations • 7 Jun 2018 • Ramashish Gaurav, Biplav Srivastava
India runs the fourth largest railway transport network size carrying over 8 billion passengers per year.
no code implementations • 26 Mar 2018 • Biplav Srivastava
Conversation interfaces (CIs), or chatbots, are a popular form of intelligent agents that engage humans in task-oriented or informal conversation.
no code implementations • 14 Sep 2017 • Matthew Peveler, Naveen Sundar Govindarajulu, Selmer Bringsjord, Biplav Srivastava, Kartik Talamadupula, Hui Su
These \textit{cognitive and immersive systems} (CAISs) fall squarely into the intersection of AI with HCI/HRI: such systems interact with and assist the human agents that enter them, in no small part because such systems are infused with AI able to understand and reason about these humans and their knowledge, beliefs, goals, communications, plans, etc.
no code implementations • 13 Sep 2017 • Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, Rachel K. E. Bellamy
In this paper, we report on the visualization capabilities of an Explainable AI Planning (XAIP) agent that can support human in the loop decision making.
no code implementations • 13 Sep 2017 • Kartik Talamadupula, Biplav Srivastava, Jeffrey O. Kephart
In this paper, we introduce the problem of denoting and deriving the complexity of workflows (plans, schedules) in collaborative, planner-assisted settings where humans and agents are trying to jointly solve a task.
no code implementations • 4 Aug 2017 • Q. Vera Liao, Biplav Srivastava, Pavan Kapanipathi
Dialog is a natural modality for interaction between customers and businesses in the service industry.