A learning system may need several methods that follow different learning strategies in order to learn how to perform complex tasks. For example, a learning method may be used to generalize from user...
Knowledge Acquisition for Configuration Tasks: The EXPECT Approach (2009)
Surya Ramachandran, Yolanda Gil
Configuration systems often use large and complex knowledge bases that need to be maintained and extended over time. The explicit representation of problem-solving knowledge and factual knowledge can...
Subsumption-Based Matching: Bringing Semantics to Goals. Unpublished manuscript (2009)
Yolanda Gil, Pedro A. Gonzalez
Matching a posted goal against a library of rules is a task common in many AI systems. There are matching algorithms that can perform this process with reasonable e ciency. However, they are based on...
1 Workflow Composition: Semantic Representations for Flexible Automation (2008)
Many different kinds of users may need to compose scientific workflows for different purposes. This chapter focuses on the requirements and challenges of scientific workflow composition. They are...
The Expert Opinion department piece (2008)
David De Roure, Yolanda Gil, David De Roure, James Hendler
This special issue brings you an overview of trends in multidiscipli-nary and large-scale science that are drawing in AI techniques to address the complexity and diversity of future scientific...
ABSTRACT PHOSPHORUS: A Task-Based Agent Matchmaker (2008)
PHOSPHORUS is an agent matchmaking service that exploits domain ontologies, description logic, and a highly declarative language to reason about task-related agent capabilities. PHOSPHO-RUS uses the...
Yes, But Why is That Plan Better? 1 (2008)
Dr Brian, Drabble Dr, Yolanda Gil, Prof Austin Tate
Generating sets of qualitatively di erent plans is crucial in the decision making support systems within any organisation or business. Current business and project planning tools are tasked such that...
From Data to Knowledge to Discoveries: Scientific Workflows and Artificial Intelligence (2008)
Scientific computing has entered a new era of scale and sharing with the arrival of cyberinfrastructure facilities for computational experimentation. A key emerging concept is scientific workflows,...
Acquiring Procedural Knowledge in EXPECT (2007)
Yolanda Gil, A Gil, Jim Blythe, Jihie Kim, Surya Ramachandran
The EXPECT project has focused on acquiring problemsolving knowledge for users for the last decade, using an expressive language that is open to inspection. Our aim has been to alleviate the...
Acquiring Knowledge from Users in a Reflective Architecture (2007)
As a system acquires more knowledge about a task it should be able to take a more active role in learning additional knowledge. To do so, it must be able to reflect upon the knowledge that it...
Peter Clark, John Thompson, Ken Barker, Bruce Porter, Vinay Chaudhri, Andres Rodriguez, ...
Despite some successes, the lack of tools to allow subject matter experts to directly enter, query, and debug formal domain knowledge in a knowledge-base still remains a major obstacle to their...
On the Role of Humans in Enterprise Control Systems: the Experience of INSPECT (2007)
Vakebte, Andre, Blythe, Jim, Gil, Yolanda, Swartout, William
In this paper, we use the example of a successful mixed initiative plan evaluation tool for the domain of air campaign planning to argue that the human-in-the-loop is an important feature of...
Swartout, William R., Gil, Yolanda
EXPECT provides an environment for developing knowledge-based systems that allows end-users to add new knowledge without needing to understand the details of system organization and implementation....
Flexible Knowledge Acquisition Through Explicit Representation of Knowledge Roles (2007)
A system that acquires knowledge from a user should be able to reflect upon the knowledge that it has at each moment and understand what kinds of new knowledge it needs to learn. For the past two...
Electric Elves: Agent Technology for Supporting Human Organizations (2007)
Chalupsky, Hans, Gil, Yolanda, Knoblock, Craig A., Lerman, Kristina, Oh, Jean, Pynadath, David V., ...
The operation of a human organization requires dozens of everyday tasks to ensure coherence in organizational activities, to monitor the status of such activities, to gather information relevant to...
Electric Elves: Immersing an Agent Organization in a Human Organization (2007)
Pynadath, David V., Tambe, Milind, Arens, Yigal, Chalupsky, Hans, Gil, Yolanda, Knoblock, Craig, ...
Future large-scale human organizations will be highly agentized, with software agents supporting the traditional tasks of information gathering, planning, and execution monitoring, as well as having...
On the black art of designing computational workflows (2007)
Computational workflows have recently emerged as an effective paradigm to manage large-scale distributed scientific computations. Workflow systems can automate many executionlevel details and provide...
Efficient Domain-Independent Experimentation (2006)
Planning systems often make the assumption that omniscient world knowledge is available. Our approach makes the more realistic assumption that the initial knowledge about the actions is incomplete,...
EXPECT: Intelligent Support for Knowledge Base Refinement (2006)
Paris, Cecile L., Gil, Yolanda
Effective knowledge acquisition amounts to having good sources of expectations that can provide guidance about what knowledge needs to be acquired from users. Current approaches to knowledge...
Towards Versatile and Practical Knowledge Acquisition (2006)
Gil, Yolanda, Paris, Cecile L.
Rapid prototyping and tool reusability have pushed knowledge acquisition research to investigate method-specific knowledge acquisition (KA) tools appropriate for pre-determined problem-solving...
Learning by Experimentation: Incremental Refinement of Incomplete Planning Domains (2006)
Building a knowledge base requires iterative refinement to correct imperfections that keep lurking after each new version of the system. This paper concentrates on the automatic refinement of...
Knowledge Refinement in a Reflective Architecture (2006)
A knowledge acquisition tool should provide a user with maximum guidance in extending and debugging a knowledge base, by preventing inconsistencies and knowledge gaps that may arise inadvertently....
Forgetting and Conflict Resolving in Disjunctive Logic Programming (2006)
Eiter, Thomas, Wang, Kewen, Yolanda Gil
Yes
The semantic grid is the result of semantic web and grid researchers building bridges in recognition of the shared vision and research agenda of both fields. This paper builds on prior experiences...
Incremental Formalization of Document Annotations through Ontology-Based Paraphrasing (2004)
For the manual semantic markup of documents to become widespread, users must be able to express annotations that conform to ontologies (or schemas) that have shared meaning. However, a typical user...
Contribution to the EAC Meeting Report by the LIGO-GriPhyN Working Group (2003)
Bharati, Amit Agarwal Shishir, Blythe, James, Deelman, Ewa, Gil, Yolanda, Kesselman, Carl, Mehta, Gaurang, ...
Transparent Grid Computing: a Knowledge-Based Approach (2003)
Jim Blythe, Ewa Deelman, Yolanda Gil, A Gil, Carl Kesselman
Grid computing provides key infrastructure for distributed problem solving in dynamic virtual organizations. It has been adopted by many scientific projects, and industrial interest is rising...
Planning for workflow construction and maintenance on the Grid (2003)
Jim Blythe, Ewa Deelman, Yolanda Gil
We describe an implemented grid planner that has been used to compose workflows and schedule tasks on a computational Grid to solve scientific problems. We then discuss two issues that will demand...
Learning by Experimentation: The Operator Refinement Method (2002)
Carbonell, Jaime G., Gil, Yolanda
Autonomous systems require the ability to plan effective courses of action under potentially uncertain or unpredictable contingencies. Effective planning requires knowledge of the environment, and if...
Towards Method-Independent Knowledge Acquisition (2002)
Rapid prototyping and tool reusability have pushed knowledge acquisition research to investigate method-specific knowledge acquisition tools appropriate for predetermined problem-solving methods. We...
Domain-Specific Criteria to Direct and Evaluate Planning Systems (2002)
Gil, Yolanda, Hoffman, Mark, Tate, Austin
This document is the result of a joint effort to understand what are relevant factors to consider when there are several possible courses of action (COAs) to accomplish a Non-combatant Evacuation...
Datos sobre la flora y vegetación de la cuenca del río Guadiamar (Sevilla-Huelva, España) (2002)
Pérez Latorre, Andrés V., Navas Fernández, Patricia, Gil, Yolanda, Cabezudo, Baltasar
Datos sobre la flora y vegetación de la cuenca del río Guadiamar (Sevilla-Huelva, España). Se ha realizado un estudio florístico, fitocenológico y fitogeográfico de la cuenca hidrográfica del...
Electric Elves: Immersing an agent organization in a human organization (2000)
David V. Pynadath, Milind Tambe, Yigal Arens, Hans Chalupsky, Yolanda Gil, A Gil, ...
this paper. While the Retsina architecture (Sycara et al. 1996) also shares some similarities, we believe our goals are complementary to a large extent. In particular, Retsina is based on three types...
User Studies of an Interdependency-Based Interface for Acquiring Problem-Solving Knowledge (2000)
This paper describes a series of experiments with a range of users to evaluate an intelligent interface for acquiring problem-solving knowledge to describe how to accomplish a task. The tool derives...
Developing tools that allow non-programmers to enter knowledge has been an ongoing challenge for AI. In recent years researchers have investigated a variety of promising approaches to knowledge...
How Can a Structured Representation of Capabilities Help in Planning? (2000)
Yolanda Gil, A Gil, Jim Blythe
In order to support a wide range of planning-related activities, we argue that plan and action representations must move to a more expressive language for goals and capabilities than is found in most...
Representing Capabilities of Problem Solving Methods (1999)
Bill Swartout, Yolanda Gil, Andre Valente
In order to develop and use shared libraries of problem-solving methods, it is of paramount importance to provide adequate descriptions of their capabilities and competence. Methods must be indexed...
Designing Scripts to Guide Users in Modifying Knowledge-based Systems (1999)
Knowledge Acquisition #KA# Scripts capture typical modi#cation sequences that users follow when they modify knowledge bases. KA tools can use these Scripts to guide users in making these modi...
User Studies of Knowledge Acquisition Tools: Methodology and Lessons Learned (1999)
Marcelo Tallis, Jihie Kim, Yolanda Gil, A Gil
The area of knowledge acquisition research concerned with the development of knowledge acquisition (KA) tools is in need of a methodological approach to evaluation. Efforts such as the Sisyphus...
Pérez Latorre, Andrés V., Galán De Mera, Antonio, Navas Fernández, Patricia, Navas, David, Gil, Yolanda, Cabezudo, Baltasar
Datos sobre la flora y vegetación del Parque Natural de Los Alcornocales (Cádiz-Málaga, España). Se ha realizado un estudio de la flora, vegetación y paisaje vegetal del Parque Natural de Los...
PRODIGY4.0: The Manual and Tutorial, (1998)
Carbonell, Jaime G., Blythe, Jim, Etzioni, Oren, Gil, Yolanda, Joseph, Robert
PRODIGY is a general-purpose problem-solving architecture du serves as a basis for research in planning, machine learning, apprentice-type knowledge-refinement interfaces, and expert systems. This...
Acquiring Domain Knowledge for Planning by Experimentation. (1998)
In order for autonomous systems to interact with their environment in an intelligent way, they must be given the ability to adapt and learn incrementally and deliberately. It is virtually impossible...
EXPECT: Explicit Representations for Flexible Acquisition. (1998)
To create more powerful knowledge acquisition systems, we not only need better acquisition tools, but we need to change the architecture of the knowledge based systems we create so that their...
The HPKB initiative seeks to develop large, reusable libraries of ontologies and problem-solving methods which will ease the construction and maintenance of large knowledge based systems. A critical...
KCAP K-CAP Conference Support (1998)
This report includes the compiled papers from the 1st International Conference on Knowledge Capture held 21-23 Oct 2001 and sponsored by AFOSR. In today's Web-linked and data-rich world, there is a...
Template Enhancement Through Knowledge Acquisition (TEMPLE) (1998)
In this contract they developed Constable, a tool that enables users to extend existing templates by adding new constraints to be checked as they create plans from those templates. The constraints...
Datos sobre la flora y vegetación de la Serranía de Ronda (Málaga, España) (1998)
Navas Fernández, Patricia, Pérez Latorre, Andrés V., Cabezudo, Baltasar, Gil, Yolanda, Navas, David
Datos sobre la flora y vegetación de la Serranía de Ronda (Málaga, España). Se ha realizado un estudio de la flora y vegetación del Parque Natural de la Sierra de las Nieves (Málaga, España)....
Explicit Representations of Problem-Solving Strategies to Support Knowledge Acquisition. (1997)
Role-limiting approaches support knowledge acquisition (KA) by centering knowledge base construction on common types of tasks or domain independent problem solving strategies. Within a particular...
Planning Experiments: Resolving Interactions Between Two Planning Spaces. (1997)
Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned to bring the world...
A Script-Based Approach to Modifying Knowledge Bases (1997)
Yolanda Gil, A Gil, Marcelo Tallis
Our goal is to build knowledge acquisition tools that support users in modifying knowledgebased systems. These modifications may require several individual changes to various components of the...
A Script-Based Approach to Modifying Knowledge Bases (1997)
Yolanda Gil, A Gil, Marcelo Tallis
Our goal is to build knowledge acquisition tools that support users in modifying knowledge-based systems. These modifications may require several individual changes to various components of the...
Nota sobre Marsilea batardae Launert e Isoetes durieui Bory en Andalucía. (1997)
Pérez Latorre, Andrés V., Navas, David, Navas Fernández, Patricia, Gil, Yolanda, Conde Álvarez, Rafael Miguel, Hiraldo, J. Antonio, ...
William R. Swartout, Yolanda Gil
EXPECT provides an environment for developing knowledge-based systems that allows end-users to add new knowledge without needing to understand the details of system organization and implementation....
Flexible Knowledge Acquisition Through Explicit Representation of Knowledge Roles (1996)
A system that acquires knowledge from a user should be able to reflect upon the knowledge that it has---at each moment---and understand what kinds of new knowledge it needs to learn. For the past two...
INSPECT: an Intelligent System for Air Campaign Plan Evaluation based on EXPECT (1996)
Andre Valente, Yolanda Gil, A Gil, William Swartout
This document describes and discusses INSPECT
Learning by Experimentation: The Operator Refinement Method (1996)
Jaime G. Carbonell, Yolanda Gil, A Gil
Autonomous systems require the ability to plan effective courses of action under potentially uncertain or unpredictable contingencies. Planning requires knowledge of the environment that is accurate...
Explicit Representations of Problem-Solving Strategies to Support Knowledge Acquisition (1996)
USC/Information Sciences Institute 4676 Admiralty Way Marina del Rey, CA 90292 gil@isi.edu, melz@isi.edu email: A shorter version of this paper will appear in the Proceedings of the Thirteen National...
Flexible knowledge acquisition through explicit representation of knowledge roles (1996)
A system that acquires knowledge from a user should be able to reflect upon the knowledge that it has—at each moment—and understand what kinds of new knowledge it needs to learn. For the past two...
Planning Experiments: Resolving Interactions between Two Planning Spaces (1996)
Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned to bring the world...
Brian Drabble, Yolanda Gil, Austin Tate
In producing plans, human planners take into account a variety of criteria that guide their decisions. Besides constraints imposed by the domain itself, these criteria often express preferences among...
EXPECT: Explicit Representations for Flexible Acquisition (1995)
: To create more powerful knowledge acquisition systems, we not only need better acquisition tools, but we need to change the architecture of the knowledge based systems we create so that their...
Transaction-Based Knowledge Acquisition: Complex Modications Made Easier (1995)
Yolanda Gil, A Gil, Marcelo Tallis
Our goal is to build knowledge acquisition tools that support users in making a broad range of changes to a knowledge base, including both factual and problem-solving knowledge. These changes may...
Transaction-Based Knowledge Acquisition: Complex Modifications Made Easier (1995)
Yolanda Gil, A Gil, Marcello Tallis
Our goal is to build knowledge acquisition tools that support users in making a broad range of changes to a knowledge base, including both factual and problem-solving knowledge. These changes may...
Brian Drabble, Yolanda Gil, Austin Tate
In producing plans, human planners takeinto accountavariety of criteria that guide their decisions. Besides constraints imposed by the domain itself, these criteria often express preferences among...
EXPECT: Explicit Representations for Flexible Acquisition (1995)
Abstract: To create more powerful knowledge acquisition systems, we not only need better acquisition tools, but we need to change the architecture of the knowledge based systems we create so that...
Domain-specific criteria to direct and evaluate planning systems (1994)
Yolanda Gil, Mark Hoffman, Austin Tate
This document is the result of a joint effort to understand what are relevant factors to consider when there are several possible courses of action (COAs) to accomplish a Noncombatant Evacuation...
Applying a General-Purpose Planning and Learning Architecture to Process Planning (1994)
Process planning poses significant computational requirements due to the variety of alternative processes, their complexity, and their interactions. General-purpose planners are generally not...
Domain-specific criteria to direct and evaluate planning systems (1994)
Yolanda Gil, Mark Ho, Austin Tate
This document is the result of a joint e ort to understand what are relevant factors to consider when there are several possible courses of action (COAs) to accomplish a Noncombatant Evacuation...
Knowledge re nement in a re ective architecture (1994)
A knowledge acquisition tool should provide a user with maximum guidance in extending and debugging a knowledge base, by preventing inconsistencies and knowledge gaps that may arise inadvertently....
Learning by experimentation: Incremental re nement of incomplete planning domains (1994)
Building a knowledge base requires iterative re nement to correct imperfections that keep lurking after each new version of the system.
Learning new planning operators by exploration and experimentation (1993)
This paper addresses a computational approach to the automated acquisition of domain knowledge for planning systems via experimentation with the environment. Previous work showed how existing...
Acquiring domain knowledge for planning by experimentation /--Yolanda Gil. (1992)
"August 24, 1992."
Integrated Architectures for Artificial Intelligence (1991)
Artificial Intelligence researchers have produced models of different components required for intelligence such as knowledge representation, reasoning, natural language processing, learning, neural...
Planning Experiments: Resolving Interactions between Two Planning Spaces
Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned to bring the world...
Deriving Expectations to Guide Knowledge Base Creation
Successful approaches to developing knowledge acquisition tools use expectationsof what the user has to add or may want to add, basedon hownew knowledge fits within a knowledge base that already...
Planning Experiments: Resolving Interactions between Two Planning Spaces
Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned to bring the world...