Inferring Competitors^|^apos; Intention

Tra king Head Pose for Inferring Intention

Query Intention Acquisition: A Case Study on Automatically Inferring Structured Queries

The process of acquiring the user’s intentions is an important phase in the querying process. The identification of their intentions enables the selection of appropriate retrieval strategies. In this paper, we first outline this cross-section work in contextual Information Retrieval. We then focus on one particular type of intention: the syntactic and semantic types associated with a query term...

Goal Recognition over POMDPs: Inferring the Intention of a POMDP Agent

Plan recognition is the problem of inferring the goals and plans of an agent from partial observations of her behavior. Recently, it has been shown that the problem can be formulated and solved using planners, reducing plan recognition to plan generation. In this work, we extend this model-based approach to plan recognition to the POMDP setting, where actions are stochastic and states are parti...

Intention Games

Strategic interactions between competitive entities are generally considered from the perspective of complete revelations of benefits achieved from those interactions, in the form of public payoff functions in the announced games. In this work, we propose a formal framework for a competitive ecosystem where each player is permitted to deviate from publicly optimal strategies under certain priva...

Inferring Context

Context Awareness is the task of inferring contextual data acquired through sensors present in the environment. ‘Context’ encompasses all knowledge bounded by a scope and includes attributes of machines and users. A general context aware system is composed of context gathering and context inference modules. This paper proposes a Context Inference Engine (CiE) that classifies the current context...