Michael J. Maher

ORCID: 0000-0002-1868-2113
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About
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Research Areas
  • Logic, Reasoning, and Knowledge
  • Logic, programming, and type systems
  • Semantic Web and Ontologies
  • Multi-Agent Systems and Negotiation
  • Constraint Satisfaction and Optimization
  • Advanced Algebra and Logic
  • Advanced Database Systems and Queries
  • Formal Methods in Verification
  • Data Management and Algorithms
  • Model-Driven Software Engineering Techniques
  • Distributed and Parallel Computing Systems
  • Natural Language Processing Techniques
  • Distributed systems and fault tolerance
  • Political Systems and Governance
  • Access Control and Trust
  • Advanced Software Engineering Methodologies
  • Parallel Computing and Optimization Techniques
  • Rough Sets and Fuzzy Logic
  • AI-based Problem Solving and Planning
  • Bayesian Modeling and Causal Inference
  • Software Testing and Debugging Techniques
  • Computability, Logic, AI Algorithms
  • Scheduling and Optimization Algorithms
  • Cloud Computing and Resource Management
  • Software Engineering Research

University of Canberra
2013-2017

UNSW Sydney
2006-2017

UNSW Canberra
2014

Australian Defence Force Academy
2012-2014

Data61
2004-2011

IBM (United States)
1986-2005

Loyola University Chicago
2001-2004

Griffith University
1995-2003

IBM Research - Thomas J. Watson Research Center
1986-1995

University of Pisa
1992-1995

10.1016/0743-1066(94)90033-7 article EN publisher-specific-oa The Journal of Logic Programming 1994-05-01

The importance of transformations and normal forms in logic programming, generally computer science, is well documented. This paper investigates the context Defeasible Logic, a simple but efficient formalism for nonmonotonic reasoning based on rules priorities. described this have two main benefits: one hand they can be used as theoretical tool that leads to deeper understanding formalism, other been development an implementation defeasible logic.

10.1145/371316.371517 article EN ACM Transactions on Computational Logic 2001-04-01

Defeasible reasoning is a simple but efficient rule-based approach to nonmonotonic reasoning. It has powerful implementations and shows promise be applied in the areas of legal modelling business rules. This paper establishes significant links between defeasible argumentation. In particular, Dung-like argumentation semantics provided for two key logics, which one ambiguity propagating other blocking. There are several reasons significance this work: (a) establishing formal systems leads...

10.1093/logcom/14.5.675 article EN Journal of Logic and Computation 2004-10-01

Complete axiomizations for the algebras of infinite trees and are presented. The parameterized by alphabet function symbols both finite trees. There two main cases, depending on whether number is or infinite. In former case an extra axiom necessary to obtain completeness. method proof elimination quantifiers. Although a full quantifiers not possible, forms basis decision procedures theories corresponding algebras. As corollary results in trees, elementary equivalence algebra rational...

10.1109/lics.1988.5132 article EN 2003-01-06

Defeasible logic is a rule-based nonmonotonic logic, with both strict and defeasible rules, priority relation on rules. We show that inference in the propositional form of can be performed linear time. This contrasts markedly most other logics, which intractable.

10.1017/s1471068401001168 article EN Theory and Practice of Logic Programming 2001-11-01

10.2307/2987692 article EN Journal of the Royal Statistical Society Series D (The Statistician) 1979-06-01

10.1016/0304-3975(84)90017-3 article EN publisher-specific-oa Theoretical Computer Science 1984-01-01

For many years, the non-montonic reasoning community has focussed on highly expressive logics. Such logics have turned out to be computationally expensive, and given little support practical use of non-monotonic reasoning. In this work we discuss defeasible logic, a less-expressive but more efficient logic. We report two new implemented systems for logic: query answering system employing backward-chaining approach, forward-chaining implementation that computes all conclusions. Our...

10.1142/s0218213001000623 article EN International Journal of Artificial Intelligence Tools 2001-12-01

10.1016/0743-1066(84)90010-4 article EN publisher-specific-oa The Journal of Logic Programming 1984-10-01

Defeasible reasoning is a simple but efficient approach to nonmonotonic that has recently attracted considerable interest and found various applications. logic its variants are an important family of defeasible methods. So far no relationship been established between mainstream approaches. In this paper we establish close links known semantics programs. particular, give translation theory , instead.

10.1017/s1471068406002778 article EN Theory and Practice of Logic Programming 2006-10-16

Regulations are a wide-spread and important part of government business. They codify how products must be made processes should performed. Such regulations can difficult to understand apply. In an environment growing complexity of, change in, regulation, automated support for reasoning with is becoming increasingly necessary. this paper we claim that such provided on the basis defeasible logical rules. We highlight by tool, illustrate some aspects using examples from one specific domain:...

10.1109/hicss.1999.772631 article EN 2003-01-20

Defeasible reasoning is a computationally simple nonmonotonic approach that has attracted significant theoretical and practical attention. It comprises family of logics capture different intuitions, among them ambiguity propagation versus blocking, the adoption or rejection team defeat. This article provides compact presentation defeasible logic variants, derives an inclusion theorem which shows notions provability in form chain levels proof.

10.1145/1838552.1838558 article EN ACM Transactions on Computational Logic 2010-10-01
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