the independent choice logic for modeling multiple agents under uncertainty

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The Independent Choice Logic for modeling multiple agents under uncertainty David Poole Http://www.cs.ubc.ca/spider/p oole Presented by Mei Huang Mar. 18,2005

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The Independent Choice Logic for modeling multiple agents under uncertainty. David Poole Http://www.cs.ubc.ca/spider/poole Presented by Mei Huang Mar. 18,2005. Outline. Knowledge Representation ICL Overview ICL Semantics ICL Influence Discussion. Outline. Knowledge Representation - PowerPoint PPT Presentation

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Page 1: The Independent Choice Logic for modeling multiple agents under uncertainty

The Independent Choice Logic for modeling multiple agents

under uncertainty

David Poole

Http://www.cs.ubc.ca/spider/poole

Presented by Mei Huang

Mar. 18,2005

Page 2: The Independent Choice Logic for modeling multiple agents under uncertainty

Outline

Knowledge RepresentationICL OverviewICL SemanticsICL InfluenceDiscussion

Page 3: The Independent Choice Logic for modeling multiple agents under uncertainty
Page 4: The Independent Choice Logic for modeling multiple agents under uncertainty

Outline

Knowledge Representation ICL OverviewICL OverviewICL SemanticsICL InfluenceDiscussion

Page 5: The Independent Choice Logic for modeling multiple agents under uncertainty

“a bridge between logical representation and belief networks”

Page 6: The Independent Choice Logic for modeling multiple agents under uncertainty

Q?

Page 7: The Independent Choice Logic for modeling multiple agents under uncertainty

Discussion

What do you think of the author’s claim that using disjunction to handle uncertainty is a stupid thing?

From the view point of representation, disjunction is not that bad, at least, it provides compact representations than ICL. E.g, “ea1v …v an” in ICL needs n expressions.

Page 8: The Independent Choice Logic for modeling multiple agents under uncertainty

Outline

Knowledge RepresentationICL Overview ICL SemanticsICL SemanticsICL InfluenceDiscussion

Page 9: The Independent Choice Logic for modeling multiple agents under uncertainty
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Note: each item in F, i.e, each rules has an associated probability. E.g, for the first rule, the probability is P(f | c1, b1). This probability is different from the probability of a possible world.

Page 12: The Independent Choice Logic for modeling multiple agents under uncertainty

Q?

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Discussion

How to cast the student-take-course domain problem into ICL?

Choice Space C={{L1,L2,L3},{High,Normal,Easy}}

Facts F={Grade=A IQ=L3 ^ Difficulty=Easy;

Grade=B IQ=L2 ^ Difficulty=High; ……}

Give P0(L1), P0(L2), P0(L3), P0(High), P0(Normal),

P0(Easy)

Page 14: The Independent Choice Logic for modeling multiple agents under uncertainty

Outline

Knowledge RepresentationICL OverviewICL Semantics ICL InfluenceICL InfluenceDiscussion

Page 15: The Independent Choice Logic for modeling multiple agents under uncertainty
Page 16: The Independent Choice Logic for modeling multiple agents under uncertainty

Q?

Page 17: The Independent Choice Logic for modeling multiple agents under uncertainty

Discussion

Why it looks so straight forward to map a decision tree to the rules of ICL?

The logical part of ICL focuses on attributes’ values, not attributes. ICL’s Fact set F interprets CPDs of BLP or LoPRM.

Page 18: The Independent Choice Logic for modeling multiple agents under uncertainty

Q?

Page 19: The Independent Choice Logic for modeling multiple agents under uncertainty

How to translate this BN into ICL?

It is better to redraw the graph as 88 belief networks as follows:

……

Because ICL’s rules are defined on the value level.

Discussion

Burglary earthQuake

Alarm

B=true Q=true

A=true

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are mutually exclusive

Page 30: The Independent Choice Logic for modeling multiple agents under uncertainty

Outline

Knowledge RepresentationICL OverviewICL SemanticsICL InfluenceDiscussionDiscussion

Page 31: The Independent Choice Logic for modeling multiple agents under uncertainty

Discussion

In the diagram in slide15, why the arrows are uni-directional? Can they be made bi-directional?

What can ICL buy us? I.e, is this explicit bridge between logic and decision theory necessary or is the gap between the two enlarged imaginarily by the author? (when we deal with decision projects, logic is usually embodied implicitly in the program)