Hello all,
I am in need of the solutions of exercise.
Please help.

Thanks

A solution manual is available only to instructors of the course.

-Peter Norvig


--- In aima-talk@yahoogroups.com, "write2_nahid" <write2_nahid@y...>
wrote:
>
>
> Hello all,
> I am in need of the solutions of exercise.
> Please help.
>
> Thanks

Dear all,

I am studying AI autodidactly. I am still on chapter 2 of AIMA, the
vacuum cleaner problem. Do you have an idea on how to move the vacuum
(the algorithm)?

If the vacuum able to scan only the floor underneath, how to keep the
vacuum from visiting the same position? Should the vacuum remember its
history of waypoints?

Can I make the vacuum scans its surroundings (left, front, right)?

Should the vacuum knows floor's size?

I need more hint to solve this problem.




Thank you

Frans Indroyono

There are several exercises that assume different abilities for the
vacuum, but basically, it can only scan the current position for dirt.
  You need to build a map (or history of waypoints as you put it),
because the vacuum cannot recognize when it is back someplace it has
been before.

-Peter

On 4/15/05, fasisi2003 <fasisi2003@...> wrote:
>
>
> Dear all,
>
> I am studying AI autodidactly. I am still on chapter 2 of AIMA, the
> vacuum cleaner problem. Do you have an idea on how to move the vacuum
> (the algorithm)?
>
> If the vacuum able to scan only the floor underneath, how to keep the
> vacuum from visiting the same position? Should the vacuum remember its
> history of waypoints?
>
> Can I make the vacuum scans its surroundings (left, front, right)?
>
> Should the vacuum knows floor's size?
>
> I need more hint to solve this problem.
>
> Thank you
>
> Frans Indroyono
>
>
>
> Yahoo! Groups Links
>
>
>
>
>

HI, I was looking over the code for decision-tree learning and
learning and general in LISP
that is on the website.  I was wondering what the format of the
problem inputted into the
decision-tree-learning function is.  In the comments i see that the
examples are done as
(attribute . value) pairs, but I am not exactly sure how to input
goals and attributes, and
how they fit into the format of the problem.  Does anyone have an
example of a simple
problem? Thanks

Intelligent Koran Unification
& the Search for the Invariants


The Intelligent Unification of the Koran's Natural & Artificial
Scripture
& the Search for the Invariants of Unification.


Dear Members of aima-talk


I would like to attract your attention that

[1] The Koran natural scripture can be mapped into Artificial
Scripture.
[2] The artificial scripture is a structured WORD in Formal Language
Theory.
[3] The Koran natural and artificial scripture are UNIFIABLE as ONE
WORD.
[4] The brain Neo-Cortex is structured into 6 levels.
[5] There are 6 levels of unifying the Koran verses in the brain neo-
cortex.
[6] At each level there is the INVARIANT WORD.
[7] The LOGICAL INVARIANTS of the Koran are being searched for.

Please, if you like to get an idea about this subject, here is an
explanation:

===================================================
Beyond the Quran: a String of Artificial Revelations Q =
(Q1.Q2...Q112.Q113)
===================================================

The Natural Scripture of the Standard Koran is:

[1] Graphical.
[2] Structured.
[3] Ordered.
[4] Rhythmic (Recited according to Specific Rules).

=====================
30 Artificial Words in the Koran
=====================

The natural scripture contains 30 WORDS, such as {alm …s, q, n} that
do NOT exist in the natural language dictionary. They belong to the
artificial language dictionary.

========================================
Mapping the Koran's Natural Scripture Using the Map Keys
========================================

These 30 words are artificial, and are used as MAP KEYS to map the
natural verses into artificial verses, which are WORDS in the Theory
of Artificial Languages, Finites State Automata, and Formal
Complexity.

Chapter 068 contains the map key {ä}
The MORPHISIM MAPPING is applied on it:

W= f(a.b.c...z) = f(a).f(b).f(c)...f(z)

As an Example:
W = (natural verse)
= f (nwalqlmwmaystrwn)
= f (n w a l q l m w m a y s t r w n)
= f(n).f(w).f(a).f(l).f(q).f(a).f(l).f(m).f(w).f(m).f(a).f(y).f(s).f
(t).f(r).f(n)

f: A* ----> {b, a}* : f= {n if letter = n  else c}
We get the artificial verses:

W (68,00) = ccccccccccccncccccc = c^12 n c^6
W (68,01) = nccccccccccccccn = n c^14 n
...
W (68,52) = cccccccccccccccccc = c^17 n

======================================
The Quran Artificial Scripture as a Word in the Monoid A
======================================

We write these finite artificial words as ONE-WORD in the Monoid A
(A*,. , 1)

W = (W0.W1...W52) = (W0). (W1)... (W52)

Where
A = {c, n} = the group of the Chapter (068) artificial symbols.
A* = the artificial dictionary of the group B
A* = {1, c, n, cn, ca, ccn, cnc, ncn, nnc ...}
. = the concatenation operator
1 = the null word

We search in Visual and Auditory Intelligence to unify the Quran
revelation.
We search in the Computational, Quantum, and Biological String
Manipulating Systems that will UNIFY these SUB-WORDS into ONE-WORD in
Intelligence Theory, such as

W = (W0.W1) = (W0). (W1)
W = cncccncccccc = (cncc).(cncccccc)


======================================
The Quran Natural Scripture as a Word in the Monoid N
======================================

We write the natural words as ONE-WORD in the Monoid N (N*,. , 1)

W = (W0.W1...W52) = (W0). (W1)... (W52)

Where
A = {1, a, b, t, t~, j, h~, k~,..., n ,h , y} = the group of Chapter
(068)  natural symbols.
A* = the natural dictionary of group A
. = the concatenation operator
1 = the null word

We search also for unifying the natural scripture of the Koran
And Such as

(Natural Verse 1) o (Natural Verse 2) = (Natural Verse 1 o Natural
Verse 2)

================================
Unifying the Quran Natural & Artificial Scripture
================================

Intelligence Theory is focused on

[1] Unifying sub-sequences into ONE SEQUENCE.
[2] Unifying the NAMES of sequences (the sequences of sequences)
[2] Manipulating symbols.

Each natural chapter is studied as ONE-WORD, and the Koran as ONE-WORD
The Natural Quran scripture is one word in the Monoid N (N*, o, 1)

(Q) = (Q1 o Q2...Q112 o Q113) = (Q1) o (Q2)... (Q112) o (Q113) Where

N = the group of the Quran natural symbols
N* = the artificial dictionary of group N (a group of 16 symbols)
o = the concatenation operator
1 = the null word

Each Artificial chapter is studied as ONE-WORD, and the Koran as ONE-
WORD
The Artificial Quran scripture is one word in the Monoid A (A*, o, 1)

(Q') = (Q'1 o Q'2...Q'112 o Q'113) = (Q'1) o (Q'2)... (Q'112) o
(Q'113) Where

A = the group of the Quran artificial symbols
A* = the natural dictionary of group A
o = the concatenation operator
1 = the null word

=========================
The Structure of Language and Music
=========================

In music

[1] Notes are composed to form intervals
[2] Intervals are composed to form melodic phrases
[3] Phrases are combined to form melodies.

In Language

[1] Letters are composed to form syllables
[2] Syllables are composed to form words
[3] Words are composed to form clauses.
[4] Clauses are composed to form Chapters.

====================
The Definition of Intelligence
====================

Intelligence is the ability to remember and PREDICT pattern in the
world, including LANGUAGE. God is absolutely intelligent, therefore
God PREDICT the future perfectly.
Prediction is the PROOF of intelligence.
Intelligence starts as memory system that feed prediction into the
sensory stream.

==================
Unified Intelligence Theory
==================

In the Unified Intelligence Theory:

(01) ONE BASIC CORTICAL ALGORITHM is applied by all cortical regions.
(02) All the essential aspects of intelligence occur in the Neo-
Cortex.
(03) The neo-cortex compute.
(04) The human Neo-Cortex is structured into six levels of sub-
networks.
(05) The human vision and auditory system MAP sensory information as
a SEQUENCE.
(06) Every cortical region attempt to store and recall sequences.
(07) Sensory sequences travel from lower level to higher level (feed
forward information)
(08) At each level the sequences are unified and INVARIANT STRACTURE
is formed.
(09) Sequences travel from the higher level to the low level (feed
back information).
(10) At each level the sequence is decomposed into more elementary
elements.
(11) Sequence travel through neural MICRCOLUMNS.
(12) The neo-cortex store sequences in a memory system.
(13) The cortex hierarchical structure store a MODEL of the
hierarchical structure of the world.
(14) The feed-forward and the feed-back sequence are compared to
PREDICT visual, auditory signals (sensory signals generally).

========================================================
The Biggest Challenge in Intelligence Theory: The INVARIANT WORD
========================================================

The human brain perceives the world by forming INVARIANT STRUCTURE.
The biggest mystery in all science is how the cortex forms invariant
representation.
The most powerful supercomputer in the world has been unable to solve
it.
In language theory unification, THE INVARIANT IS A WORD

==================================
Six Levels of Unifying the Koran in the Neo-Cortex
==================================

[1] Unifying each Koran chapters into one word at six levels.
(Q1) = (W0 W1 . W2 … W286 . W287) = (W0). (W1). (W2) … (W286). (W287)
and so on.
[2] Unifying all the Koran chapters into one word at six levels.
(Q1 o Q2...Q112 o Q113) = (Q1) o (Q2)... (Q112) o (Q113).
[3] Unifying the Koran into the sequence of chapter's name (The
Sequence of sequence).
(N1 o N2 … N112 o N113) = (Q1 o Q2...Q112 o Q113).
[4] Unifying the sequence of name into one word: The Koran
The Koran = (N) = (N1 o N2...N112 o N113).
[5] Unifying the introductory chapter (Q0) with each chapter
(Q0 o Q1) = (Q0 o Q1).
(Q0 o Q1 o Q2) = (Q0) o (Q1) o (Q2).
(Q0 o Q1 o Q2 o Q3) = (Q0) o (Q1) o (Q2) o (Q3) and so on.
[6] Unifying the introductory chapter (Q0) with the whole Koran
(Q) = (Q0) (Q1 o Q2...Q112 o Q113) = (Q0 o Q1 o Q2...Q112 o Q113).
[7] Finding the INVARIANT WORD at each level of unification.

=========================================
The Search of How Intelligence Emerges From Cellular Level
=========================================

Oscillatory micro-tubules (Discrete Biological Oscillators) are the
Basic building block of cellular intelligence. We search how
intelligence emerges from the cellular level to the Brain network
level.

===========================================
Jesus (peace be upon him) as a Word from God Thrown of Mary
===========================================

God describes Jesus as a WORD from him thrown over Mary by a massager
(information Carrier). Theoretical Biology states that each human
creature is a WORD composed of a string of 1~3 billion letters over
four alphabetical symbols {C, T, A, G}.

================================================
Jesus (P.B.U.H) & the Projection of Internal Peace: God Living Kingdom
================================================

Jesus (P.B.U.H) stated that the Kingdom of God is inside of us, and
that means:

[1] Each human is miniature of God's kingdom.
[2] By discovering SCIENTIFICLY and SPIRITUALLY our inner creation,
we will find universal GODLY MODEL of RUNNING the HUMAN SOCIETY
lovingly and intelligently, the matter that will lead to UNIVERSAL
PEACE.

Therefore peace projection happens at two levels.

[1] The projection of inner spiritual peace into spiritual external
peace.
[2] The projection of inner mental peace into mental external peace.

In view of the framework of intelligence theory, Jesus is expected to
come back as the prophet of love & intelligence.

===========================================================
Muhammad (P.B.U.H) & the Projection of Internal Peace: How God
Created the Creature?
===========================================================

Muhammad (P.B.U.H) insisted on searching of how God created a
creature. That is more general statement calling for us to understand
how INTELLIGENCE EVOLVES from single-cell organism to multi-cell
organism ending up with the human creature which leads to universal
peace too.
This statement is METHODICAL scientific way to start from SIMPLICITY
to COMPLEXITY. Peace be upon prophet Muhammad.

=====================================================
The Projection of Internal Peace into External Peace: Evolutionary
Belief in God
=====================================================

Internal peace starts by postulating the basic concept of all
existence: GOD.
The Living Kingdom of God is inside each human.
This kingdom is born with INTIAL STRUCTURE, and each human is
responsible to establish HIGHER STRUCTURE starting from the initial
structure.
This kingdom will be achieved be projecting the internal peace of
heart & mind inside of us. Activating the human heart & mind is the
essence of religion, and the start point of belief, and then the
heart and the mind GROW by havening CONTINUOUS relation with God and
science. That is the Evolutionary school of God and his sequence of
prophets that ended up with Muhammad.

BY ACHIEVING HIGHER LEVELS OF CONCIOUSNESS, PEACE WILL BE MAPPED FROM
OUR INTENAL WORLD INTO OUR EXTERNAL WORLD.

The cause of religion failure has always been the separation between
LOVE and INTELLIGENCE and the avoidance of solving social issue
intelligently.

===================================================================
Enlightenment Theory: How the Koran Structure and Activate the Brain
Networks?
===================================================================

All region of the cortex (including neo-cortex) are PLASTIC, which
means they it RE-WIRES itself in response to visual and auditory
INPUT SIGNALS.

We search for unifying the Koran Verses and chapters by studying

[1] How the scripture of the Koran STRUCTURE the Natural and the
artificial brain networks when a RANDON network LISTENS to the KORAN
RHYTHMIC RECICTATION IN SEQUENTIAL ORDER verse by verse and chapter
by chapter Q1 Q2 Q3...Q112 Q113.
[2] How the FREQUENCIES of the Koran rhythmic recitation will
OSCILLATE in the brain networks.
[3] How the brain analysis these frequencies according to Fourier
Transform.

We search in how RECITING the Koran will ENLIGHTEN the BRAIN NETWORKS.

==================================================================
Wave Analysis of the Quran: The Search for Universal Visual &
Auditory Mapping
==================================================================

The Human brain maps sensory information according to Fourier
Transform.
We search for universal mapping of the Koran alphabet.
The map is both visual and auditory, and they are INVARIANT from
human to human.

============================================================
The Quran Refers to Numerous Informational Quantum & Biological Facts
============================================================

[1] The operation of human biological brain at Sub-Quantum level (sub-
atomic particle of good or evil and the brain IONS).
[2] The spin of a network.
[3] Quantum annealing.
[4] Quantum Tunneling or Teleportation (King Solomon Event).
[5] The Quantum cloud (God comes in the shadows of clouds and angel).
[6] The human aura.

======================================
Toward Loving & Evolutionary Intelligent Islam
======================================

God's purpose from creating the Universe is based on

[1] Love
[2] Intelligence

Human society will be UNIFIED by Love and Evolutionary Intelligence.
That's why we search for HARMONIOUS & INTELLIGENT interpretation of
the Koran.

God describes the Quran as complete word, so we are interested in all
the problems in String Languages Theory that fall in the Class NP-
complete.
We search IF the sub-words are proportional numerical factors in the
one-word too.

============================================
Koran: the Cosmic Word of God & the Future of Islam
============================================

Islam will turn into Informational biological, and quantum Religion,
and that is because the Koran is based on intelligence theory; and
intelligence theory has informational, biological, & quantum basis.
The Koran, as ONE STRUCTURED SEQUENCE, is the COSMIC WORD of GOD (The
GREATEST NAME OF GOD).

===================
The Cosmic Doomsday
===================

According to Astrophysics and the Koran, the cosmic doomsday takes
place when heaven RIP OFF after 10 billion years at least.

===============
Fields of Interests
===============

[1] Natural Intelligence.
[2] Artificial Intelligence.
[3] Visual, Auditory & Touching Intelligence.
[3] Quantum Artificial Intelligence.
[4] Biological Signaling Systems.
[5] Complexity Classes.
[6] Networks Theory (Unifying sub-networks into one network)
[7] Holographic Analysis of the Bain and the Cosmos.

====================================
Fields Related to Audio & Visual Intelligence
====================================

[1] The orthographic representation of Arabic Language in the Quran.
[2] The acoustic signal of speech.
[3] Interpreting acoustic signal by the ear & the brain.
[4] Rule system for pronunciation, lexical stress.
[5] The interpretation of orthography when reading silently.

=======================================
Larger Arabic Language Alphabets in the Koran
=======================================

The correspondence between each sound in Arabic Language and a symbol
in its alphabet in the Koran Scripture would mean that Arabic
language needs LARGER Qur'anic ALPHABET.

==============================
Intelligent-Quran Research Program
==============================

The program is based on following up

[1] Simplified books in natural & Artificial Intelligence.
[2] Annual Language conferences and references all over the World.
[3] Annual Artificial Intelligence conferences and references.
[4] Annual Quantum Information & Biology conferences and references.
[5] Annual network conferences and references.
[6] Contacting scientists and engineers to share some ideas.

=================================
The Target is the LOGICAL INVARIANTS:
=================================

We Believe that the introductory alphabet of the Koran chapters, such
{alm …s, q, n} are the INVARIANTS of conversion resulting from
unifying the Koran sequences.

If anybody is interested, please have a look at

http://groups.yahoo.com/group/Meta_Quran_Group

Glory be to the God of Heavens, Earth, Love & Intelligence.

Regards

Ramzi Kam

Hi
I am student at Computer Engineering -Cairo University, Egypt.
We study AIMA in forth year in the colleague..
There are some problems which i didn't understand it well .I need your help.
1-Problem 16.2:- What's authors mean by statement "but you may not
make any assumptions about U(Sk+1,000,000)"  as it appear in our
copies  of the book?, How can we  calculate the expected monetary
value if we don't assume the value of U(Sk+1,000,000)?.
2-Problem 16.3-c: - what's the initial value I use for calculation and
what's the different between and that question

The Python readme file recommends running the doctests (step 7) after
installing the data and code files. Under Windows XP with Python 2.3.3,
the given command (python doctest.py -v *.py) yields:

Traceback (most recent call last):
   File: "doctests.py", line 44, in ?
     modules = [__import__(name.replace('.py',''))
ImportError: No module named *

To old DOS programmers, the reason is obvious - Windows does not
perform wildcard expansion on command line arguments.

The following change corrects the problem for Windows and should
continue to operate properly under other operating systems. Note: this
implementation does not need to check for the platform AND it corrects
a defect in the original code that ran doctests on doctests.py twice.

In doctests.py, replace:

     import sys
     modules = [__import__(name.replace('.py',''))
                for name in sys.argv if name != "-v"]
     run_tests(modules, ("-v" in sys.argv))

with:

     import sys
     import glob
     modules = [__import__(name[0].replace('.py',''))
         for name in [glob.glob(arg)
             for arg in sys.argv[1:] if arg != "-v"]]
     if modules:
         run_tests(modules, ("-v" in sys.argv))

Hope this helps someone.
Dave Harris



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http://mail.yahoo.com

I am using AIMA for self-study and research during my doctoral studies
at the University of Arizona and I need some help. I am studying
Chapter 8 (First-Order Logic) and am perplexed by the Exercise problem
8.5. It asks to derive a formula for the number of possible
model-interpretation combinations for a domain with D elements. It
uses this concept to come up with 10^25 combinations for a domain with
5 objects (in the Richard & King John example, page 247). Can someone
please explain me how this is the case? How is such formula conceived
and then used in this case? It will help me understand the concept of
model-interpretation much better. Thanks in advance for your help and
insight.
-Amit

Hi,

I am new to LISP.

I am getting a loading error for one of the LISP files and I do not
know why.

CG-USER(3): (load "c:\\aima\\agents\\environments\\basic-env.lisp")
; Loading c:\aima\agents\environments\basic-env.lisp
Error: Syntax error in for loop:
AGENT is not a var-spec-word.


agent is defined before it is used in the for loop, but I am getting
this error anyway. Does anyone know why?

- Leo

Hello,
some months ago I posted here that I was starting to program a java
library with the algorithms of the book.

I have changed almost everything in the source code I posted. Now the
code is well documented and highly reusable and configurable (due to the
use of design patterns techniques).

I suppose I will end the book (implementing all algorithms in the
library) at the end of the year without help. But because it is getting
as nice as big, I would welcome any help.

Have a look at:
http://www.artificialidea.com/my_programs/index.html#library

The documentation is at:
http://www.artificialidea.com/my_programs/docs/index.html

For each package, at the end of the page, there is an automatically
generated UML Graph that gives you a quick overview.

Iván Villanueva
--
Encrypted mail preferred.
GPG Key Id: 3FDBF85F 2004-10-18 Ivan-Fernando Villanueva Barrio

Ivan Villanueva escribió:

>Hello,
>some months ago I posted here that I was starting to program a java
>library with the algorithms of the book.
>
>I have changed almost everything in the source code I posted. Now the
>code is well documented and highly reusable and configurable (due to the
>use of design patterns techniques).
>
>I suppose I will end the book (implementing all algorithms in the
>library) at the end of the year without help. But because it is getting
>as nice as big, I would welcome any help.
>
>
>
Your iniciative is great!  I'll like to help by adding mtd(f) to your
library if that's ok with you.  I'm grading assigments at the moment,
but when I'm done I'll take a look at the library.

>Have a look at:
>http://www.artificialidea.com/my_programs/index.html#library
>
>The documentation is at:
>http://www.artificialidea.com/my_programs/docs/index.html
>
>For each package, at the end of the page, there is an automatically
>generated UML Graph that gives you a quick overview.
>
>Iván Villanueva
>
>

On Thu, Jun 30, 2005 at 08:57:22AM -0300, Alejandro Alliana Granada wrote:
> Ivan Villanueva escribió:
>
> >Hello,
> >some months ago I posted here that I was starting to program a java
> >library with the algorithms of the book.
> >
> >Now the code is well documented and highly reusable and configurable
> >(due to the use of design patterns techniques).
> >
> Your iniciative is great!  I'll like to help by adding mtd(f) to your
> library if that's ok with you.

Thanks. I welcome any contribution. Your idea of adding an algorithm to
the library is the best to do. My highest expectations are that some
teachers ask their students (as an assignment) to program some
algorithms that fits in the library and send them to me. But I don't know
if that is going to happen.

Anyway I have checked the Wikipedia for MTD-f and at the moment there is
no article about it. Please consider to write a couple of lines
explaining it at:
http://en.wikipedia.org/w/index.php?title=MTD-f&action=edit

Gracias,
Iván Villanueva

interesting perspective!

there are 18 universities in london doing A.I. dgree courses.

i think a great way is getting sahpiro's encyclopoedia of A.I. 2 vols,
and leafing through it.

then going to eg the london A.I. Club or similar!

Talking to someone who can answer your questions on it is great and
entering chat groups like MINDX is good.

Best of luck with it

Eldras

hi all,
       if any of you know how to get the book exercises solutions i'd
be so thankful...
i need them urgently ... please anyone answer me as soon as possible.

thanks in advance ..
regards,
mai

José Vargens


---------- Original Message -----------
From: aima-talk Moderator <aima-talk-owner@yahoogroups.com>
To: jvargens@...
Sent: 20 Jul 2005 13:07:40 -0000
Subject: Welcome to aima-talk

> Hello,
>
> Welcome to the aima-talk group at Yahoo! Groups, a
> group for discussions of the textbook "Artificial Intelligence; A
> Modern Approach".  This group is intended for any reader of the book
> -- students, instructors, professionals or whoever.
>
> To start sending messages to members of this group,
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Hi
If any of you can help me out with the solutions of exercises in
chapters 8 and 9 of second edition, I will be grateful.

IT IS AN URGENT NEED.

Thanks.

Hi everybody,

I want to develop an intelligent agent with a small knowledge base.
But I am not able to find out how to start implementing that. What i
am finding in "aima" is the theoritical part of developing an
intelligent agent.

Can anybody give me some directions how to start developing an
intelligent agent(start implementing) and what are the tools available
and required to develop such an intelligent agent.

regards,
mohan_bg

--- In aima-talk@yahoogroups.com, "mohan_bg2003" <mohan_bg2003@y...>
wrote:
> [...]
> Can anybody give me some directions how to start developing an
> intelligent agent(start implementing) [...]

http://mind.sourceforge.net/aisteps.html tells how.

Hi everybody,

I want to develop an intelligent agent with a small knowledge base.
But I am not able to find out how to start implementing that. What i
am finding in "aima" is the theoritical part of developing an
intelligent agent.

Can anybody give me some directions how to start developing an
intelligent agent(start implementing) and what are the tools available
and required to develop such an intelligent agent.

regards,
mohan_bg

Hi everybody,

I want to develop an intelligent agent with a small knowledge base.
But I am not able to find out how to start implementing that. What i
am finding in "aima" is the theoritical part of developing an
intelligent agent.

Can anybody give me some directions how to start developing an
intelligent agent(start implementing) and what are the tools available
and required to develop such an intelligent agent.

regards,
mohan_bg

i m new to this group! can nebody pls help me with the solutions to the
exercises of chs 1 to 5 of 2nd edition!
its urgent!

Hi all,
Aima java 0.4 with additional code for probability and supervised
machine learning  (plus quite a few  bug fixes) has been posted on the
aima site .You will need java 1.5 to run the code .


The index file has not been updated yet so don't get freaked . The
additional chapters covered are 13, 14, 18 and 20 .In addition ,the
propositional logic code has been re written and should work much better.

Download ! enjoy!

Plans are afoot to make it easier to access/contribute to  the code
base  and file  bug reports and change requests . Till these changes
come into effect, please send any comments or  report any bugs
directly to me  .Please do not post java specific doubts etc on  this
group . I generally respond withing 12 hours of receiving mail .

Regards,
Ravi

Hi,

Thank you very much for:

AT Murray
Mohammad Assarian
Osamah alsaidi

all three of you for showing me some direction to go ahead with the
implementation. I will explore them and request help if needed.

Thank you very much indeed.

regards,
mohan_bg
--- In aima-talk@yahoogroups.com, Osamah alsaidi <ibnalsaidi@y...> wrote:
> First of all, "Knowledge base", this could be your database of
facts. If you are using prolog then u can start by building a small
set of facts in a simple file. Now intelligent agent ... well thats
the good thing about having a book. If you notice, agents differ in
characteristics. Now for example, some of them remember what they did
in previous state, some of them don't, some of them update their own
environment, some of them share the same environment with other
agents. Now, this all depends on what kind of intelligent agent u r
trying to build. Maybe also you want to build a learning agent. I
haven't read the book, but for a start and if it is your first
program, then you might investigate the theoritical concepts in the
book and for example, if the book says agents of type xx communicate
through a common knowledge base, then you encode this in your program
(but following a formal definition, ex, FSM steps) code. Ex, in prolog
both agents can update the same environment using
>  assert  or retract (beware these two commands donot retract if
query fails). I never used java for this, but think perhaps two agents
update the same object (a separate object).
>
> Thats all I can think of at this moment, hope it helps.
>
> Good luck.
>
>
>
> mohan_bg2003 <mohan_bg2003@y...> wrote:
> Hi everybody,
>
> I want to develop an intelligent agent with a small knowledge base.
> But I am not able to find out how to start implementing that. What i
> am finding in "aima" is the theoritical part of developing an
> intelligent agent.
>
> Can anybody give me some directions how to start developing an
> intelligent agent(start implementing) and what are the tools available
> and required to develop such an intelligent agent.
>
> regards,
> mohan_bg
>
>
>
>
>
>
> ---------------------------------
> YAHOO! GROUPS LINKS
>
>
>     Visit your group "aima-talk" on the web.
>
>     To unsubscribe from this group, send an email to:
>  aima-talk-unsubscribe@yahoogroups.com
>
>     Your use of Yahoo! Groups is subject to the Yahoo! Terms of
Service.
>
>
> ---------------------------------

--- In aima-talk@yahoogroups.com,
"mohan_bg2003" <mohan_bg2003@y...> wrote:
> Hi,
>
> Thank you very much for:
>
> AT Murray
> Mohammad Assarian
> Osamah alsaidi
>
> all three of you for showing me some direction to go ahead with the
> implementation. I will explore them and request help if needed.
>
> Thank you very much indeed.
>
> regards,
> mohan_bg

You are very welcome.

By the way, today on 29 August 2005 I finally achieved True AI in

http://mind.sourceforge.net/mind4th.html -- Mind.Forth as in

http://doi.acm.org/10.1145/307824.307853 (1998 ACM) and

http://doi.acm.org/10.1145/1052883.1052885 (2004 ACM).

http://mind.sourceforge.net/theory5.html is the AI theory.

http://mind.sourceforge.net/m4thuser.html is the User Manual.

It has taken many years to solve AI in both theory and software.

Now all the AI textbooks ought to be rewritten about True AI.

I would welcome anyone showing that Mind.Forth does not think.

http://www.914pcbots.com has detailed info in the A.I. Zone.

Hello soulmates,
on chapter 7, figure 7.13, the PL-RESOLUTION algorithm is proposed with a
helper function, PL-RESOLVE, that returns the set of all possible
clauses obtained by resolving two inputs.
However, on the previous page the resolution rule is described removing
all complementary literals at one. And on the next page you can read that
"any clause in which two complementary literals appear can be discarded."

I wonder if PL-RESOLVE should just remove all complementary literals and
returns just a clause with the remaining literals.

Iván Villanueva
--
Encrypted mail preferred.
GPG Key Id: 3FDBF85F 2004-10-18 Ivan-Fernando Villanueva Barrio

On Mon, Sep 05, 2005 at 04:27:31PM +0200, Ivan Villanueva wrote:
> on chapter 7, figure 7.13, the PL-RESOLUTION algorithm is proposed with a
> helper function, PL-RESOLVE, that returns the set of all possible
> clauses obtained by resolving two inputs.
> However, on the previous page the resolution rule is described removing
> all complementary literals at one.

That is not the case. Sorry.

> I wonder if PL-RESOLVE should just remove all complementary literals and
> returns just a clause with the remaining literals.

Of course not. The resolution rule allows to discard two complementary literals,
but not more at one.
For example with the two sentences:

~P1,2 | ~P2,1 | B1,1    ~B1,1 | P1,2 | P2,1

one can apply the resolution rule and get:

~P1,2 | ~P2,1 | P1,2 | P2,1

but not an empty clause.


Ivan Villanueva :-)

HI

I am studying AI on my own and I need C/C++ codes for the pesudocodes
in the book,also is there any way to get the solutions for the
exercises of the book in my case? (I am no taking a course using AIMA)?

please if you can help me,let me know

thank you