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MODEL FOR COGNITIVE ARCHITECTURE TO REPRESENT WORLD / ACTIVITIES

IP.com Disclosure Number: IPCOM000235705D
Publication Date: 2014-Mar-21
Document File: 4 page(s) / 29K

Publishing Venue

The IP.com Prior Art Database

Abstract

The invention proposes a technique to form a model or representation for a cognitive architecture to represent world or activities. The cognitive architecture considers alternatives and provides improved responses in quality, quantity and timelines. World is a stable place independent of activities performed by an agent that underlies illusory notion of “state”. As a result, world is in some state which does not change unless acted upon. Such philosophy has undermined progress in a planning community to construct planners to be applied to real-world problem. Real world problem includes occurrence of exogenous events where there are many actors. Each actor changes the world in ways that interfere or do not interfere with personal interest and deliberately act to deceive.

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MODEL FOR COGNITIVE ARCHITECTURE TO REPRESENT WORLD / ACTIVITIES

 

BRIEF ABSTRACT

The invention proposes a technique to form a model or representation for a cognitive architecture to represent world or activities. The cognitive architecture considers alternatives and provides improved responses in quality, quantity and timelines. World is a stable place independent of activities performed by an agent that underlies illusory notion of “state”. As a result, world is in some state which does not change unless acted upon. Such philosophy has undermined progress in a planning community to construct planners to be applied to real-world problem. Real world problem includes occurrence of exogenous events where there are many actors. Each actor changes the world in ways that interfere or do not interfere with personal interest and deliberately act to deceive.

KEYWORDS

Real world issues, Model planner, Artificial Intelligence, non-deterministic model


DETAILED DESCRIPTION

            Existing planning technique does not scale to real world issues. The real world issues include large number of actors, exogenous events and imperfect non-deterministic model of activities. Essence of artificial intelligence (AI) planning is chaining modeled action between states of the world towards a desired state. For instance, an initial state I and a goal state G includes action A that is executed in some sequence to change the world from I to G. Each action is modeled with a predicate on the state describing states applied to and effect, which allows next state to be constructed. For instance, in a block world, the pick up block includes precondition that a hand is empty and the block is to be picked up. The effect is to allow the hand non-empty, which is used to hold block and remove the block from prior position on another block or on a table. This type of model introduced with stanford research institute problem solver (STRIPS) and AI technique tare not probabilistic and utilizes partially observable markov decision processes which stuck to the basic technique with elaboration.

            A conventional technique includes a model that tries to address determinism, such as, partially observable Markov decision process (POMDPs). However, the conventional technique including POMDPs is intractable for realistic problem sized with more than half-dozen elements.

            Another conventional technique includes a model to assume the world to be modeled as sequence of a state. However, the model is used deterministically which does not match the world efficiently.

            Every model suffers from a large degree of modeling efficiency issues. An effi...