Planning for tourism routes using social networks
Traveling recommendation systems have become very popular applications for organizing
and planning tourist trips. Among other challenges, these applications are faced with the …
and planning tourist trips. Among other challenges, these applications are faced with the …
What's up with privacy? User preferences and privacy concerns in intelligent personal assistants
The recent breakthroughs in Artificial Intelligence (AI) have allowed individuals to rely on
automated systems for a variety of reasons. Some of these systems are the currently popular …
automated systems for a variety of reasons. Some of these systems are the currently popular …
Collaborative planning with encoding of users' high-level strategies
The generation of near-optimal plans for multi-agent systems with numerical states and
temporal actions is computationally challenging. Current off-the-shelf planners can take a …
temporal actions is computationally challenging. Current off-the-shelf planners can take a …
[PDF][PDF] Radar—a proactive decision support system for human-in-the-loop planning
Abstract Proactive Decision Support (PDS) aims at improving the decision making
experience of human decision makers by enhancing both the quality of the decisions and …
experience of human decision makers by enhancing both the quality of the decisions and …
[PDF][PDF] Balancing explicability and explanation in human-aware planning
S Sreedharan, S Kambhampati - 2017 AAAI Fall Symposium Series, 2017 - cdn.aaai.org
Human aware planning requires an agent to be aware of the intentions, capabilities and
mental model of the human in the loop during its decision process. This can involve …
mental model of the human in the loop during its decision process. This can involve …
A mental-model centric landscape of human-ai symbiosis
There has been significant recent interest in developing AI agents capable of effectively
interacting and teaming with humans. While each of these works try to tackle a problem quite …
interacting and teaming with humans. While each of these works try to tackle a problem quite …
Crowdsourced action-model acquisition for planning
H Zhuo - Proceedings of the AAAI Conference on Artificial …, 2015 - ojs.aaai.org
AI planning techniques often require a given set of action models provided as input.
Creating action models is, however, a difficult task that costs much manual effort. The …
Creating action models is, however, a difficult task that costs much manual effort. The …
Discovering underlying plans based on shallow models
Plan recognition aims to discover target plans (ie, sequences of actions) behind observed
actions, with history plan libraries or action models in hand. Previous approaches either …
actions, with history plan libraries or action models in hand. Previous approaches either …
Discovering underlying plans based on distributed representations of actions
X Tian, HH Zhuo, S Kambhampati - arXiv preprint arXiv:1511.05662, 2015 - arxiv.org
Plan recognition aims to discover target plans (ie, sequences of actions) behind observed
actions, with history plan libraries or domain models in hand. Previous approaches either …
actions, with history plan libraries or domain models in hand. Previous approaches either …
Modifying a set of instructions based on bootstrapped knowledge acquisition from a limited knowledge domain
DK Byron, BL Johnson, DG Tecuci - US Patent 10,726,338, 2020 - Google Patents
Mechanisms for automatically modifying a set of instructions based on an expanded domain
specific knowledge base are provided. The mechanisms generate a domain specific …
specific knowledge base are provided. The mechanisms generate a domain specific …