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J. Yen, R. Neches, R. MacGregor (1991)
CLASP: Integrating Term Subsumption Systems and Production SystemsIEEE Trans. Knowl. Data Eng., 3
J. A. Barnden (1998)
Proceedings of the Twentieth Annual Meeting of the Cognitive Science Society
C. R. Perrault (1990)
Intentions in Communication
Aaron Kaplan, Lenhart Schubert (1997)
Simulative Inference in a Computational Model of Belief
Nicholas Asher, A. Lascarides (1994)
Intentions and information in discourse
S. Russell, P. Norvig (1995)
Artificial intelligence: A Modern Approach
S. Parsons, C. Sierra, N. Jennings (1998)
Multi-context Argumentative Agents
N. Findler (1979)
Associative Networks- Representation and Use of Knowledge by Computers
B. M. McLaren, K. D. Ashley (1995)
Fifth International Conference on Artificial Intelligence and Law: Proceedings of the Conference
A. Hunter (1994)
Principles of Knowledge Representation and Reasoning: Proceedings of the Fourth International Conference, 281-292. (Bonn, Germany, 24-27 May 1994)
A. Dragoni, P. Puliti (1994)
Mental States Recognition from Speech Acts through Abduction
J. Barnden, Stephen Helmreich, Eric Iverson, Gees Stein (1994)
An Integrated Implementation of Simulative, Uncertain and Metaphorical Reasoning about Mental States
Hans Chalupsky (1993)
Using hypothetical reasoning as a method for belief ascriptionJ. Exp. Theor. Artif. Intell., 5
K. Konolige (1986)
A deduction model of belief
E. Davis (2014)
Representations of commonsense knowledge
C. Perrault (1987)
An application of default logic to speech act theory
F. Lehmann (1992)
Semantic Networks in Artificial Intelligence
A. N. Kaplan, L. K. Schubert (1997)
IWCS II: Second International Workshop on Computational Semantics
E. Nissan, G. Puni, T. Kuflik (1991)
Finding Excuses with ALIBI: Alternative Plans that Are Deontically More DefensibleComputers and Artificial Intelligence, 10
J. Barnden, Stephen Helmreich, Eric Iverson, Gees Stein (1996)
Artificial Intelligence and Metaphors of Mind: Within-Vehicle Reasoning and Its BenefitsMetaphor and Symbol, 11
J. A. Barnden (1997)
Simulation and Uncertainty in Reasoning About Agents' Beliefs
The creation of the rule application linking (3) to (2) inside the simulation is accompanied by the creation of the lifted rule application linking (4) to (1+)
D. Poole (1991)
The Effect of Knowledge on Belief: Conditioning, Specificity and the Lottery Paradox in Default ReasoningArtif. Intell., 49
J. Delgrande, Torsten Schaub (1994)
A General Approach to Specificity in Default Reasoning
Jean-Pierre Koenig, Discourse Structure (1998)
Discourse and cognition : bridging the gap
Hans Chalupsky (1996)
Simba: belief ascription by way of simulative reasoning
T. Kuflik, E. Nissan, Gilad Puni (1991)
Finding excuses with ALIBI : alternative plans that are deontically more defensibleComputing and Informatics \/ Computers and Artificial Intelligence, 10
Claire Grover, Chris Brew, Suresh Manandhar, M. Moens (1994)
32nd Annual Meeting of the Association for Computational Linguistics, 27-30 June 1994, New Mexico State University, Las Cruces, New Mexico, USA, Proceedings
K. Konolige (1987)
On the Relation Between Default and Autoepistemic LogicArtif. Intell., 35
A. F. Dragoni, P. Puliti (1994)
Proceedings of the 11th European Conference on Artificial Intelligence (ECAI-94)
M. Bratman (1992)
Planning and the stability of intentionMinds and Machines, 2
R. Loui (1987)
Defeat among arguments: a system of defeasible inferenceComputational Intelligence, 3
M. Davies, T. Stone (1995)
Mental Simulation: Evaluations and Applications - Reading in Mind and Language
K. Konolige (1985)
Formal Theories of the Commonsense World
P. Harris (1992)
From Simulation to Folk Psychology: The Case for DevelopmentMind & Language, 7
Afzal Ballim, Y. Wilks (1991)
Artificial Believers: The Ascription of Belief
A. Hunter (1994)
Defeasible Reasoning with Structured Information
Specificity comparison between (1-) and (-1-) decides in favour of the former, essentially because one argument for the former needs all four facts
P. Winston (1984)
Artificial Intelligence, 2nd Edition
B. McLaren, Kevin Ashley (1995)
Context sensitive case comparisons in practical ethics: reasoning about reasons
R. Loui, Jeff Norman, Jon Olson, Andrew Merrill (1993)
A design for reasoning with policies, precedents, and rationales
Maria Cravo, J. Martins (1993)
SNePSwD: A newcomer to the SNePS familyJ. Exp. Theor. Artif. Intell., 5
R. Gordon (1986)
Folk Psychology as SimulationMind & Language, 1
J. Hage (1995)
Teleological reasoning in reason-based logic
John Dinsmore (1991)
Partitioned representations : a study in mental representation, language understanding and linguistic structure
E. Rich, K. Knight (1991)
Artificial intelligence
(1995)
Mental Simulation: Evaluations and Applications
A. Goldman (1992)
In Defense of the Simulation TheoryMind & Language, 7
D. Schum (2001)
Evidence marshaling for imaginative fact investigationArtificial Intelligence and Law, 9
J. Pearl (1986)
Fusion, Propagation, and Structuring in Belief NetworksProbabilistic and Causal Inference
P. Doherty, J. Mylopoulos, Chris Welty (2006)
Principles of Knowledge Representation and Reasoning: Proceedings of the Tenth International Conference
A. Haas (1986)
A Syntactic Theory of Belief and ActionArtif. Intell., 28
L. G. Creary (1979)
Proceedings of the Sixth International Joint Conference on Artificial Intelligence (Tokyo)
R. Allen (2001)
Artificial intelligence and the evidentiary process: The challenges of formalism and computationArtificial Intelligence and Law, 9
(1996)
Theories of Theories of Mind
J. Pearl (1986)
Fusion, Propagation, and Structuring in Belief NetworksArtificial Intelligence, 29
(1997)
Simulation and uncertainty in reasoning about agents
(1995)
Simulative Reasoning, Common-sense Psychology and Artificial Intelligence
(1998)
An AI System for Metaphorical Reasoning About Mental States in Discourse
L. Creary (1979)
Propositional Attitudes: Fregean Representation and Simulative Reasoning
K. Konolige (1984)
Belief and incompleteness
Giuseppe Attardi, M. Simi (1994)
Proofs in Context
S. Parsons, C. Sierra, N. Jennings (1998)
Working Papers of the Fourth Symposium on Logical Formalizations of Commonsense Reasoning (COMMON SENSE '98)
Robert Moore (1973)
D-Script: A Computational Theory of DescriptionsIEEE Transactions on Computers, C-25
Reasoning about mental states and processes is important in varioussubareas of the legal domain. A trial lawyer might need to reason andthe beliefs, reasoning and other mental states and processes of membersof a jury; a police officer might need to reason about the conjecturedbeliefs and reasoning of perpetrators; a judge may need to consider adefendant's mental states and processes for the purposes of sentencing;and so on. Further, the mental states in question may themselves beabout the mental states and processes of other people. Therefore, if AIsystems are to assist with reasoning tasks in law, they may need to beable to reason about mental states and processes. Such reasoning isriddled with uncertainty, and this is true in particular in the legaldomain. The article discusses how various different types ofuncertainty arise, and shows how they greatly complicate the task ofreasoning about mental states and processes. The article concentrates onthe special case of states of belief and processes of reasoning, andsketches an implemented, prototype computer program (ATT-Meta) thatcopes with the various types of uncertainty in reasoning about beliefsand reasoning. In particular, the article outlines the system'sfacilities for handling conflict between different lines of argument,especially when these lie within the reasoning of different people. Thesystem's approach is illustrated by application to a real-life muggingexample.
Artificial Intelligence and Law – Springer Journals
Published: Oct 19, 2004
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