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What We Instagram: A First Analysis of Instagram Photo Content and User Types
TLDR
This first in-depth study of content and users on Instagram reveals several insights about Instagram which were never studied before, that include: 1) Eight popular photos categories, 2) Five distinct types of Instagram users in terms of their posted photos, and 3) A user's audience (number of followers) is independent of his/her shared photos on Instagram. Expand
Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy
TLDR
It is shown how explanation can be seen as a "model reconciliation problem" (MRP), where the AI system in effect suggests changes to the human's model, so as to make its plan be optimal with respect to that changed human model. Expand
Planning Graph Heuristics for Belief Space Search
TLDR
A formal basis for distance estimates between belief states is provided and a definition for the distance between beliefStates that relies on aggregating underlying state distance measures is given. Expand
When is Temporal Planning Really Temporal?
TLDR
A complete state-space temporal planning algorithm is designed, which the authors hope will be able to achieve high performance by leveraging the heuristics that power decision epoch planners. Expand
Probabilistic Planning via Determinization in Hindsight
TLDR
An implementation of hindsight optimization for probabilistic planning based on deterministic forward heuristic search is described and its performance on planning-competition benchmarks and other probabilistically interesting problems is evaluated. Expand
Sapa: A Multi-objective Metric Temporal Planner
TLDR
An implementation of Sapa using many of the techniques presented in this paper was one of the best domain independent planners for domains with metric and temporal constraints in the third International Planning Competition, held at AIPS-02. Expand
Planning as constraint satisfaction: Solving the planning graph by compiling it into CSP
TLDR
GP-CSP is described, a system that does planning by automatically converting Graphplan's planning graph into a CSP encoding and solving it using standard CSP solvers, demonstrating that it is superior to both the Blackbox system and an ILP-based planner in a wide range of planning domains. Expand
A Validation-Structure-Based Theory of Plan Modification and Reuse
TLDR
A theory of plan modification applicable to hierarchical nonlinear planning is presented, which utilizes the validation structure of stored plans to yield a flexible and conservative plan modification framework. Expand
Reviving Partial Order Planning
This paper challenges the prevailing pessimism about the scalability of partial order planning (POP) algorithms by presenting several novel heuristic control techniques that make them competitiveExpand
Multiresolution path planning for mobile robots
TLDR
Hierarchical path-searching methods are introduced, which make use of this multiresolution representation, to speed up the path planning process considerably. Expand
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