International Business Machines Corporation

Shubham Agarwal

Yara Rizk

Christian Muise

Luis Alfonso Lastras-Montano

Yasaman Khazaeni

Joseph Kim

Miroslav Vodolán

Lauren Allison Goldstein

Kylee Mikel Barnard

Shay Hall

Varun Sangwan

Amanda Booth

Salman Saleem Sheikh

Ondrej Bajgar

Calvin Phung

Lionel Wu

A natural language input is communicated to a back end application. Candidate agent data communicated from the back end application is presented. The candidate agent data comprises data of a set of agents considered by the back end application for performance of a command extracted from the natural language input. Candidate agent score data communicated from the back end application is presented. The candidate agent score data comprises score data of an agent in the set of agents. Selected agent data communicated from the back end application is presented. The selected agent data comprises data of a selected agent in the set of agents, the selected agent selected by the back end application for performance of the command. Skill performance data communicated from the back end application is presented. The skill performance data comprises data of a processing step performed by the selected agent.

Conversational system action presentation

Computer-implemented methods, computer program products, and computer systems for improving intent determination in a messaging dialog manager system. The computer-implemented method for improving intent determination in a messaging dialog manager system may include one or more processors configured for receiving first agent entry data corresponding to a first agent communicating in a messaging dialog interface, determining that the first agent entry data expects a response that is within a first response domain, determining that a first user entry entered in the messaging dialog interface is not within the first response domain. Further, the computer-implemented may include identifying a second agent configured with a second response domain that includes the first user entry and transmitting the first user entry to the second agent to facilitate a seamless transition of an established communicational flow between the first agent and a first user.

Intent determination in a messaging dialog manager system

Embodiments are provided that relate to a computer system, a computer program product, and a machine-implemented method for improving performance of a dialog system employing an automated virtual agent. Embodiments involve clustering traces of dialog conversation logs into sets, and searching the traces for one or more contrastive temporal patterns between the sets.

Searching conversation logs of a virtual agent dialog system for contrastive temporal patterns

A computer-implemented method includes determining a current state and a current context of an environment in which an automated agent runs to execute a contingent plan. The state indicates that one or more fluents of a plurality of fluents are true, and the plurality of fluents are associated with a contingent problem solved by the contingent plan. The context describes values corresponding to the one or more fluents. An action is performed with respect to at least a subset of the context. A nondeterministic effect of the action on the environment is evaluated, using a computer processor. The state is updated based on the nondeterministic effect. The context is updated based on the nondeterministic effect.

Real-world execution of contingent plans

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Cambridge, MA, United States of America

Shubham Agarwal