100 citations · 342 across the 39 of their papers we have counts for
18 papers · 1 filter
Oracle Agent Memory as an Enterprise Memory Substrate for Long-Horizon AI Agents
Richmond Alake, Cesare Bernardis, Paul Cayet +10
Agent memory is a systems problem for long-horizon agents. Practical deployments require retention of task state across extended conversations, recovery of user-specific facts and…
Open Agent Specification (Agent Spec): A Unified Representation for AI Agents
Soufiane Amini, Yassine Benajiba, Cesare Bernardis +16
The proliferation of agent frameworks has led to fragmentation in how agents are defined, executed, and evaluated. Existing systems differ in their abstractions, data flow semantic…
When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data
Edmond Awad, Sydney Levine, Andrea Loreggia +6
One of the most remarkable things about the human moral mind is its flexibility. We can make moral judgments about cases we have never seen before. We can decide that pre-establish…
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi +6
Text-based games have emerged as an important test-bed for Reinforcement Learning (RL) research, requiring RL agents to combine grounded language understanding with sequential deci…
Towards an Atlas of Cultural Commonsense for Machine Reasoning
Anurag Acharya, Kartik Talamadupula, Mark A Finlayson
Existing commonsense reasoning datasets for AI and NLP tasks fail to address an important aspect of human life: cultural differences. We introduce an approach that extends prior wo…
Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge
Keerthiram Murugesan, Mattia Atzeni, Pushkar Shukla +3
In this paper, we consider the recent trend of evaluating progress on reinforcement learning technology by using text-based environments and games as evaluation environments. This…
Path-Based Contextualization of Knowledge Graphs for Textual Entailment
Kshitij Fadnis, Kartik Talamadupula, Pavan Kapanipathi +3
In this paper, we introduce the problem of knowledge graph contextualization -- that is, given a specific NLP task, the problem of extracting meaningful and relevant sub-graphs fro…
Tentacular Artificial Intelligence, and the Architecture Thereof, Introduced
Selmer Bringsjord, Naveen Sundar Govindarajulu, Atriya Sen +3
We briefly introduce herein a new form of distributed, multi-agent artificial intelligence, which we refer to as "tentacular." Tentacular AI is distinguished by six attributes, whi…
Answering Science Exam Questions Using Query Rewriting with Background Knowledge
Ryan Musa, Xiaoyan Wang, Achille Fokoue +6
Open-domain question answering (QA) is an important problem in AI and NLP that is emerging as a bellwether for progress on the generalizability of AI methods and techniques. Much o…
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa +8
Natural Language Inference (NLI) is fundamental to many Natural Language Processing (NLP) applications including semantic search and question answering. The NLI problem has gained…
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset
Michael Boratko, Harshit Padigela, Divyendra Mikkilineni +10
The recent work of Clark et al. introduces the AI2 Reasoning Challenge (ARC) and the associated ARC dataset that partitions open domain, complex science questions into an Easy Set…
Workflow Complexity for Collaborative Interactions: Where are the Metrics? -- A Challenge
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…
Toward Cognitive and Immersive Systems: Experiments in a Cognitive Microworld
Matthew Peveler, Naveen Sundar Govindarajulu, Selmer Bringsjord +4
As computational power has continued to increase, and sensors have become more accurate, the corresponding advent of systems that are at once cognitive and immersive has arrived. T…
Visualizations for an Explainable Planning Agent
Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula +4
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. Imposing transparency and…
UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS
Tathagata Chakraborti, Kartik Talamadupula, Kshitij P. Fadnis +2
In this paper, we present UbuntuWorld 1.0 LTS - a platform for developing automated technical support agents in the Ubuntu operating system. Specifically, we propose to use the Bas…
The Metrics Matter! On the Incompatibility of Different Flavors of Replanning
Kartik Talamadupula, David E. Smith, Subbarao Kambhampati
When autonomous agents are executing in the real world, the state of the world as well as the objectives of the agent may change from the agent's original model. In such cases, the…
Herding the Crowd: Automated Planning for Crowdsourced Planning
Kartik Talamadupula, Subbarao Kambhampati
There has been significant interest in crowdsourcing and human computation. One subclass of human computation applications are those directed at tasks that involve planning (e.g. t…
Strategic Planning for Network Data Analysis
Kartik Talamadupula, Octavian Udrea, Anton Riabov +1
As network traffic monitoring software for cybersecurity, malware detection, and other critical tasks becomes increasingly automated, the rate of alerts and supporting data gathere…