
Blameworthiness in MultiAgent Settings
We provide a formal definition of blameworthiness in settings where mult...
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Approximate Causal Abstraction
Scientific models describe natural phenomena at different levels of abst...
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A Conceptually WellFounded Characterization of Iterated Admissibility Using an "All I Know" Operator
Brandenburger, Friedenberg, and Keisler provide an epistemic characteriz...
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Translucent Players: Explaining Cooperative Behavior in Social Dilemmas
In the last few decades, numerous experiments have shown that humans do ...
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Why Bother With Syntax?
This short note discusses the role of syntax vs. semantics and the inter...
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A Modification of the HalpernPearl Definition of Causality
The original HalpernPearl definition of causality [Halpern and Pearl, 2...
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An Introduction to Logics of Knowledge and Belief
This chapter provides an introduction to some basic concepts of epistemi...
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Appropriate Causal Models and the Stability of Causation
Causal models defined in terms of structural equations have proved to be...
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The Computational Complexity of StructureBased Causality
Halpern and Pearl introduced a definition of actual causality; Eiter and...
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Cause, Responsibility, and Blame: oA StructuralModel Approach
A definition of causality introduced by Halpern and Pearl, which uses st...
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A Logic for Reasoning about Upper Probabilities
We present a propositional logic to reason about the uncertainty of even...
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Axiomatizing Causal Reasoning
Causal models defined in terms of a collection of equations, as defined ...
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MDPs with Unawareness
Markov decision processes (MDPs) are widely used for modeling decisionm...
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A GameTheoretic Analysis of Updating Sets of Probabilities
We consider how an agent should update her uncertainty when it is repres...
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Evidence with Uncertain Likelihoods
An agent often has a number of hypotheses, and must choose among them ba...
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When Ignorance is Bliss
It is commonlyaccepted wisdom that more information is better, and that...
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A Logic for Reasoning about Evidence
We introduce a logic for reasoning about evidence, that essentially view...
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Reasoning about Expectation
Expectation is a central notion in probability theory. The notion of exp...
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Updating Probabilities
As examples such as the Monty Hall puzzle show, applying conditioning to...
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Conditional Plausibility Measures and Bayesian Networks
A general notion of algebraic conditional plausibility measures is defin...
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Defining Relative Likelihood in PartiallyOrdered Preferential Structures
Starting with a likelihood or preference order on worlds, we extend it t...
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Making Decisions Using Sets of Probabilities: Updating, Time Consistency, and Calibration
We consider how an agent should update her beliefs when her beliefs are ...
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A logic for reasoning about ambiguity
Standard models of multiagent modal logic do not capture the fact that ...
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Weighted regretbased likelihood: a new approach to describing uncertainty
Recently, Halpern and Leung suggested representing uncertainty by a weig...
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Compact Representations of Extended Causal Models
Judea Pearl was the first to propose a definition of actual causation us...
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Graded Causation and Defaults
Recent work in psychology and experimental philosophy has shown that jud...
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Decision Theory with ResourceBounded Agents
There have been two major lines of research aimed at capturing resource...
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The Relationship between Knowledge, Belief and Certainty
We consider the relation between knowledge and certainty, where a fact i...
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A New Approach to Updating Beliefs
We define a new notion of conditional belief, which plays the same role ...
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Generating New Beliefs From Old
In previous work [BGHK92, BGHK93], we have studied the randomworlds app...
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A Qualitative Markov Assumption and its Implications for Belief Change
The study of belief change has been an active area in philosophy and AI....
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Probability Update: Conditioning vs. CrossEntropy
Conditioning is the generally agreedupon method for updating probabilit...
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Defining Explanation in Probabilistic Systems
As probabilistic systems gain popularity and are coming into wider use, ...
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Causes and Explanations: A StructuralModel Approach  Part 1: Causes
We propose a new definition of actual causes, using structural equations...
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Weighted Sets of Probabilities and MinimaxWeighted Expected Regret: New Approaches for Representing Uncertainty and Making Decisions
We consider a setting where an agent's uncertainty is represented by a s...
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Ambiguous Language and Differences in Beliefs
Standard models of multiagent modal logic do not capture the fact that ...
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Actual causation and the art of modeling
We look more carefully at the modeling of causality using structural equ...
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From Causal Models To Counterfactual Structures
Galles and Pearl claimed that "for recursive models, the causal model fr...
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Updating Sets of Probabilities
There are several wellknown justifications for conditioning as the appr...
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Constructive Decision Theory
In most contemporary approaches to decision making, a decision problem i...
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A Logical Characterization of Iterated Admissibility
Brandenburger, Friedenberg, and Keisler provide an epistemic characteriz...
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Reasoning About Knowledge of Unawareness Revisited
In earlier work, we proposed a logic that extends the Logic of General A...
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Causes and Explanations: A StructuralModel Approach. Part II: Explanations
We propose new definitions of (causal) explanation, using structural equ...
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Complete Axiomatizations for Reasoning About Knowledge and Time
Sound and complete axiomatizations are provided for a number of differen...
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Knowledge and common knowledge in a distributed environment
Reasoning about knowledge seems to play a fundamental role in distribute...
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MultiAgent Only Knowing
Levesque introduced a notion of "only knowing", with the goal of capturi...
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Cox's Theorem Revisited
The assumptions needed to prove Cox's Theorem are discussed and examined...
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Reasoning About Common Knowledge with Infinitely Many Agents
Complete axiomatizations and exponentialtime decision procedures are pr...
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Reasoning about Noisy Sensors and Effectors in the Situation Calculus
Agents interacting with an incompletely known world need to be able to r...
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Plausibility Measures and Default Reasoning
We introduce a new approach to modeling uncertainty based on plausibilit...
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