Appelt, D. and M. Pollack: 1992, `Weighted Abduction for Plan Ascription'. User Modeling and User-Adapted Interaction 2(1 -- 2), 1 -- 25.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....components of both the plan recognition process and the case based process. Scientific methods used in this critical phase include Bayesian reasoning [16] 48] dynamic belief networks [3] decision theoretic approaches [50] rationality of coherency [4] Dempster Shafer theory [8] abduction [6], and case based reasoning [13] just to name a few. However, all of the above mentioned systems utilize complete plan libraries constructed a priori. The novelty of our approach enables the recognition of novel planning actions caused by incomplete plan libraries. When the plan library is not ....

Appelt D. E., & Pollack, M. E. (1992). Weighted abduction for plan ascription. User Modeling and UserAdapted Interaction, 2(1-2), 1-25.

....known as abductive reasoning or diagnostic reasoning. In fact, is in the field of diagnostic where abductive reasoning has its most clear application [3] 4] 5] although other applications exist in natural language understanding [6] 7] vision [8] legal reasoning [9] plan recognition [10], 11] planning [12] and learning [13] Abduction [14] is defined as the process of generating a plausible explanation for a given set of observations or facts. In the context of probabilistic reasoning, abductive inference corresponds to finding the maximum a posteriori probability state of the ....

D.E. Appelt and M. Pollack, "Weighted abduction for plan ascription," Tech. Rep., Artificial Intelligence Center and Center for the Study of Language and Information, SRI International, Menlo Park, California, 1990.

.... higher level recognition of the broader goals and associated plans of the user (Carberry and Pope, 1993) Goodman and Litman, 1992) A range of approaches have been proposed to the latter problem, including those based on defeasible reasoning (Konolige and Pollack, 1989) and relatedly, abduction (Appelt and Pollack, 1992); those concentrating on coping with ill formed user input (Eller and Carberry, 1992) and those that recognise the need to constrain the inference process (Mayfield, 1992) The dialogic situation, however, comprises more than just the beliefs of the speaker and hearer (in bilateral ....

"Weighted Abduction for Plan Ascription", User Modelling and User Adapted Interaction 2, pp1-25

.... higher level recognition of the broader goals and associated plans of the user (Carberry and Pope, 1993) Goodman and Litman, 1992) A range of approaches have been proposed to the latter problem, including those based on defeasible reasoning (Konolige and Pollack, 1989) and relatedly, abduction (Appelt and Pollack, 1992); those concentrating on coping with ill formed user input (Eller and Carberry, 1992) and those that recognise the need to constrain the inference process (Mayfield, 1992) The dialogic situation, however, comprises more than just the beliefs of the speaker and hearer (in bilateral ....

"Weighted Abduction for Plan Ascription", User Modelling and User Adapted Interaction 2, pp1-25

....the logic induced by the semantics of the arrow and negation as failure operators. Recently, much attention has been paid to abductive reasoning in different fields of Artificial Intelligence, such as diagnosis [4, 5, 13, 12] interpretation of natural language sentences [7, 15] plan recognition [1], scene interpretation [14] This work is a contribution to the characterization of abduction as a form of inference whose context is only the logic it depends upon. Abstraction from any particular problem helps to focus on general theoretical questions, while results can be obtained that benefit ....

D. E. Appelt and M. E. Pollack. Weighted abduction for plan ascription. Technical Report 491, SRI International, 1990.

.... one of the following techniques: 1) plausible inference [Allen Perrault 1980, Litman Allen 1987, Carberry 1988, Carberry 1990, Raskutti Zukerman 1991] 2) parsing [Sidner 1985, Vilain 1990] 3) deductive logic [Kautz Allen 1986, Hecking 1988] and (4) abduction [Konolige Pollack 1989, Appelt Pollack 1992]. The ability to reason about plans has been used in widely diverse tasks, such as resolving referring expressions [Grosz 1977] building a psychological model [Schmidt, Sridharan Goodson 1978] and understanding stories [Schank Abelson 1977, Wilensky 1983, Charniak Goldman 1993] The ....

.... Allen 1987] More recently, there has been research to develop plan recognition systems that are capable of considering multiple alternatives in order to recognize intentions that are developed and revised over multiple utterances [Kautz Allen 1986, Carberry 1990, Raskutti Zukerman 1991, Appelt Pollack 1992, Charniak Goldman 1993] However, the plan recognition systems described above are not concerned with query generation to promote the cooperative process. When there is doubt regarding a speaker s intentions, these systems use heuristics to decide which of their inferences is the one intended ....

Appelt, D.E. and Pollack, M.E. (1992), Weighted Abduction for Plan Ascription. In User Modeling and User Adapted Interaction 2(1--2), pp. 1--25.

....Although techniques have been developed to handle situations in which agents plan libraries differ in some respects, e.g. Pollack [34] CalistriYeh [5] most current schemes have no mechanism for detecting discrepancies in, or for revising, the plans inferred. Appelt and Pollack [3] suggested the use of weighted abduction to model the nonmonotonic aspects of plan inference. Although the weighted axioms they define provide limited coverage, the method itself is interesting. Eller and Carberry [16] proposed another mechanism that performs detection and revision, based on the ....

Appelt, Douglas E. and Pollack, Martha E. "Weighted abduction for plan ascription." User Modeling and User-Adapted Interaction, 2(1--2), 1992, 1--25.

.... which is the identification of a user s behavior given an observed goal or action, can be viewed as an inherently abductive problem, if a plan hypothesis P is interpreted as an assumption explaining the observed action a, i.e. T [ fPg j= a, where T describes the domain knowledge (e.g. Appelt and Pollack, 1990 ] Shanahan, 1989 ] Helft and Konolige, 1990 ] Waern, 1992 ] P is required to be a ground instance of an element of a set of predefined candidate explanations called abducibles. 1 1 For an introduction to abduction see, for example, Peirce, 1931 1958] or [Fann, 1970] An ....

D.E. Appelt and M. Pollack. Weighted abduction for plan ascription. Technical report, AI Center, SRI International, Menlo Park, 1990.

....features in a scene relate to features in an image, abduction can be used to conjecture scene objects which explain features in the image. Examples in the literature include ( 14] 54] 31] Recently, researchers have used abduction as a tool to characterize the task of plan recognition (e.g. [2], 7] 32] Given a theory describing how actions relate to goals and an observation of agent action, agent goals can be conjectured to account for the actions. Natural language is a particularly challenging domain, both for abductive plan recognition and for abductive natural language ....

Douglas E. Appelt and Martha E. Pollack. Weighted abduction for plan ascription. Technical Note 491, SRI International, Menlo Park, CA, May 1990.

....these sorts of miscommunication. Although techniques have been developed to handle situations in which agents plan libraries differ in some respects (e.g. Pollack 1990, Calistri Yeh 1991) most current schemes have no mechanism for detecting discrepancies in, or for revising, the plans inferred. Appelt and Pollack (1992) suggested the use of weighted abduction to model the nonmonotonic aspects of plan inference. Although the weighted axioms they define provide only limited coverage, the method itself is interesting. Eller and Carberry (1992) proposed another mechanism that performs detection and revision; it is ....

Appelt, Douglas E. and Pollack, Martha E. (1992). "Weighted abduction for plan ascription." User Modeling and User-Adapted Interaction, 2(1--2), 1--25.

.... of actions that relate the intention and the goal and about properties of the situation that would enable the actions achieve the goal (or would prevent them from doing so) As in a diagnostic problem, the observer will assume that the action and the justification entail the goal (directly) Appelt and Pollack (1992) describe an application of weighted abduction, a variant of proof based abduction, to the problem of plan evaluation. In their model, a goal is an intention of an agent a to achieve some property P by performing action 29 The algorithm weeds out old information (i.e. the conclusions of T a ....

Appelt, Douglas E. and Pollack, Martha E. (1992). Weighted abduction for plan ascription.

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Appelt, D. and M. Pollack: 1992, `Weighted Abduction for Plan Ascription'. User Modeling and User-Adapted Interaction 2(1 -- 2), 1 -- 25.

No context found.

D. E. Appelt and M. E. Pollack. Weighted abduction for plan ascription. Technical Report 491, SRI International, 1990.

No context found.

Appelt, Douglas E., and Martha E. Pollack, 1990. "Weighted Abduction for Plan Ascription", Technical Note 491, SRI International, Menlo Park, California, May 1990.

No context found.

Douglas E. Appelt and Martha E. Pollack (1992), "Weighted abduction for plan ascription", User Modeling and User-Adapted Interaction, Vol. 2, No. 1--2, pp. 1--25.

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Appelt, D. E. and Pollack, M. E. 1992. Weighted abduction for plan ascription. User Modeling and User-Adapted Interaction, 2(1-2).

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