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2 edition of Approximate reasoning about temporal constraints in real time planning and search found in the catalog.

Approximate reasoning about temporal constraints in real time planning and search

Soumitra Dutta

Approximate reasoning about temporal constraints in real time planning and search

by Soumitra Dutta

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  • 5 Currently reading

Published by INSEAD in Fontainbleau .
Written in English


Edition Notes

Statementby Soumitra Dutta and Shashi Shekhar.
SeriesWorking papers / INSEAD -- no.90/13/TM
ContributionsShekhar, Shashi.
The Physical Object
Pagination29p. ;
Number of Pages29
ID Numbers
Open LibraryOL13919795M

Efficient Temporal Planning Using Metastates Amanda Coles, Andrew Coles, J. Christopher Beck Pages | PDF. Efficiently Reasoning with Interval Constraints in Forward Search Planning Amanda Coles, Andrew Coles, Moises Martinez, Emre Savas, Juan Manuel Delfa, Tomás de la Rosa, Yolanda E-Martín, Angel García-Olaya Pages | PDF. 2 Temporal Constraint Problems with Preferences The proposed framework is based on a simple merger of two existing formalisms: Temporal Constraint Satisfaction Prob-lems (TCSPs) [Dechter et. al., ], and soft constraints based on semirings [Bistarelli et. al., ] 1. The result of the merger is a class of problems called Temporal Constraint.

Allen's interval algebra is one of the best established formalisms for temporal reasoning. This article provides the final step in the classification of complexity for satisfiability problems over constraints expressed in this : KrokhinAndrei, JeavonsPeter, JonssonPeter. these temporal constraints on the agenda of each business man, the appointment scheduler queries the electronic calendars of the participants for their personal time constraints within the considered time interval. The appointment scheduler reasons over the temporal constraints and returns the (consistent!) answers to the problem, if any.

taneously and the plan for the new sheet must not interfere with those sheets. Moreover, plan synthesis and plan execu-tion are interleaved in real-time. Since it is the wall clock end time that we try to minimize, the speed of the planner itself affects the value of a plan. Currently, Xerox uses a constraint-based scheduler to. •Flexibility of application of temporal reasoning techniques. •Representational breadth with respect to “soft constraints.” •Early capture and manipulation of temporal information provides greater adaptability, earlier problem detection, better communication. Temporal Reasoning for Mixed Initiative Planning.


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Approximate reasoning about temporal constraints in real time planning and search by Soumitra Dutta Download PDF EPUB FB2

Approximate reasoning about temporal constraints present either explicitly or implicitly in real time systems. A graph search procedure is used as the conceptual representation for real time reasoning and planning.

The cost of a response consists of the cost to plan a solution and the cost to execute the chosen solution. There is an intimate. This paper is concerned with approximate reasoning about temporal constraints present either explicitly or implicitly in real time systems. A graph search procedure is used as the conceptual representation for real time reasoning and planning.

The cost of a response consists of the cost to plan a solution and the cost to execute the chosen solution. There is an intimate tradeoff. Constraint-based reasoning is an important area of automated reasoning in artificial intelligence, with many applications. These include configuration and design problems, planning and scheduling, temporal and spatial reasoning, defeasible and causal reasoning, machine vision and language understanding, qualitative and diagnostic reasoning, and expert systems.4/5(1).

We propose a propositional language for temporal reasoning that is computationally effective yet expressive enough to describe information about fluents, events and temporal constraints. "Temporal Reasoning in Agent-Based Systems" Michael Fisher/Michael Wooldridge. "Time in Planning" Maris Fox/Derek Long.

"Time in Automated Legal Reasoning" Lluis Vila/Hajime Yoshino. "Temporal Reasoning in Natural Language" Alice ter Meulen. "Temporal Reasoning in Medicine" Elpida Keravnou/Yuval Shahar. Cite this entry as: () Reasoning with Qualitative Temporal Constraints.

In: LIU L., ÖZSU M.T. (eds) Encyclopedia of Database Systems. There are two types of temporal constraints, sequencing constraints and real-time constraints.

Sequencing constraints specify the possible orders in which a sequence of actions or events is allowed to take place. For example, a sequencing constraint may specify that a ready signal must be received before any operation is performed on a device.

Reasoning About Temporal Constraints in RDF Carlos Hurtado1 and Alejandro Vaisman2 1 Universidad de Chile [email protected] 2 Universidad de Buenos Aires [email protected] Abstract. Time management is a key feature needed in any query lan-guage for web and semistructured data.

However, only recently this has. Temporal constraints are a class of real-time task attributes where the constraints relate the status of. the task to temporal entities. Violating temporal constraints can produce consequences of unknown severity.

This paper is part of our on-going research on real-time multi agent systems constraints. With different approximate reasoning algorithms discussed and developed in the literature, it needs to be clarified how these approaches can be compared, i.e.

what it means that one approximate reasoning approach is better than some other. In this paper, we will formally define such a foundation for approximate reasoning by: This paper presents the actual work in real-time planning as search [1] [2].

Based in this work we tried to solve the path planning in numerical state space. This paper presents a temporal framework for reasoning about the future behaviour of a dynamic time-constrained problem. The IFAC Symposia on Artificial Intelligence in Real Time.

soning about action and change using an explicit time representation that makes it suitable for applications that involve complex temporal reasoning.

We take ad- vantage of constraint satisfaction technology to facilitate such reasoning through temporal constraint networks. In online planning, algorithms for real-time search or deadline-aware search have been considered before.

However, in this paper, we are interested in the problem of situated temporal planning in which an agent's plan can depend on exogenous events in the external world, and thus it becomes important to take the passage of time into account Author: Andrew Ian Coles, Shahaf Shperberg, Erez Karpas, Solomon Shimony, Solomon Shimony, Wheeler Ruml.

Information is represented as a Constraint Satisfaction Problem (CSP) where variables denote event times and constraints represent the possible temporal relations between them.

The main tasks are two: (i) deciding consistency, and (ii) answering queries about scenarios that satisfy all by: Constraint)Based-Temporal-Reasoning. Roman Barták (Charles University in Prague) Robert A.

Morris (NASA Ames Research Center) K. Brent Venable (Tulane University and The Florida Institute of Human and Machine Cognition) Frameworks and Algorithms.

When is Temporal Planning Really Temporal. William Cushing and Subbarao Kambhampati and reasoning about constraints) from partial order planners, model, state(N), a time, t(N), and a plan, agenda(N), recording the actions which have.

Workshop on Temporal Representation and Reasoning (Time [IEEE] on *FREE* shipping on qualifying offers. The May proceedings bring together an international group of researchers working in the area of temporal representation and reasoning in Artificial Intelligence (AI) and exploring the key issues and trends in the subject.

Constraint-Based Temporal Reasoning. by Roman Barták, Robert A. Morris and K. Brent Venable. The representation of temporal information, and reasoning about time, are important in artificial intelligence.

Reasoning about time plays a critical role in building automated planning and scheduling systems, where causal and temporal relations are.

A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more 2, Relentful Strategic Reasoning in Alternating-Time Temporal Logic (LPAR'10 paper with F.

Mogavero and A. Murano). Synthesis of Trigger Properties (LPAR'10 paper with O. Kupferman). Sampling-based Motion Planning with Temporal Goals (ICRA'10 paper with A. constraint-based planner, which generates a constraint problem from a planning problem (see x2).

While we provide further details later, a forward-chaining approach is the natural choice for incor- porating temporal knowledge, whereas a constraint-based approach, in .Proceedings AIPS'98 Workshop on Planning as Combinatorial Search.

High-Level Planning and Control with Incomplete Information Using POMDPs H. Geffner and B. Bonet. Proceedings Fall AAAI Symposium on Cognitive Robotics, Solving Large POMDPs by Real Time Dynamic Programming H.

Geffner and B. Bonet. Working Notes Fall AAAI Symposium on.TCSP with Preferences (TCSPP) • Generalization of TCSP by assigning a preference function to each constraint. •A soft temporal constraint is a pair where – I is a set of intervals and – f: U{I} ÆA is a function (A is a set of preference values).

•A .