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[ontolog-forum] parallel theories

To: ontolog-forum@xxxxxxxxxxxxxxxx
From: FERENC KOVACS <f.kovacs@xxxxxxxxxxxxxx>
Date: Tue, 16 Feb 2010 18:25:59 +0000 (GMT)
Message-id: <57520.66990.qm@xxxxxxxxxxxxxxxxxxxxxxxxxxx>
A matter/subject of interest In a parallel discipline
Upcoming seminar at the CEU Cognitive Development Center: A talk by Andras Lorincz (Informatics, ELTE) on Thursday, 25 February 2010 Title: Goal Oriented Intelligence: A Workable Hypothesis?

In cognitive science, one starts from the assumption that cognitive 
functions are, or at least can be modeled by computations.  Then, we 
need a pragmatic definition for intelligence that lends itself into a 
workable algorithm. We start from the hypothesis that basically all 
facets of intelligence are related to goal oriented behavior. Goal 
oriented behavior, however, can be the result of evolution and may not 
be intelligent per se. On the other hand, intelligence can manifest 
itself through communication. We consider problem types of different 
complexities and (i) establish the category of problems that are worth 
to communicate, (ii) give a definition for intelligence based on this 
special category, and (iii) identify another computational problem 
type, which is necessary for communication and which is highly 
problematic for present day machine learning algorithms.

Communication requires agreements about symbol meaning associations. 
We show that such agreements are very hard without a mind model, where 
mind simply means a predictive model of the communicating partner and 
partial access (observation) to her actual internal rewards (emotions).

We will present two examples to illustrate matters. Our project called 
“Innovation Engine in BlogSpace” intends to develop information 
seeking conversational agents that could interfere with people in 
BlogSpace. The other example is about “Testing and communicating with 
severely handicapped, non-speaking, but speech understanding 
children”, where the goal is to estimate the zone of proximal 
development and to optimize training materials. Very recent results on 
collaborative filtering made recommendation systems highly efficient 
provided that databases are available. Collection of the data without 
endangering privacy has become feasible.
CEU Cognitive Development Center
1015 Budapest
Hattyu u 14.
Level 3 (one level up from the entrance level)
Everyone is welcome to attend.

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