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Internship Presentation On ACI Limited
The internship presentation summarizes Mustafa Rafid's internship at ACI Limited, a leading domestic company in Bangladesh. Rafid's responsibilities included maintaining communications, visiting markets, conducting consumer surveys, monitoring activation programs, and preparing reports. Through a consumer behavior analysis, Rafid found that while Savlon has a strong brand image, consumers prefer Lifebuoy and Dettol soap and hand wash products. The presentation recommends that Savlon improve promotions, establish strong communication channels, and conduct more market research.
Mas para que nós precisamos ter coragem...
O documento discute a importância da coragem para lidar com os desafios da vida, especialmente a depressão. A coragem verdadeira vem de Deus através da oração fervorosa, desenvolvendo uma relação próxima com Ele. Ao refletir no grande amor e sacrifício de Deus, os cristãos podem ter esperança e coragem para enfrentar qualquer coisa, sabendo que Ele cuida de cada um individualmente.
Chapter05
The document discusses planning with nondeterministic domain models. It introduces nondeterministic planning domains where actions may lead to multiple possible outcomes rather than a single outcome. This allows for more accurate modeling of uncertainty. The search space for nondeterministic planning is an AND/OR graph rather than a simple graph. Plans are represented as policies that map states to actions. Definitions are provided for reachable states, final states, and reachability graphs of policies. Two types of solutions are defined: one where a policy may lead to a goal state, and one where a policy safely leads to a goal from any reachable state.
Chapter03c
The document discusses refinement planning and the REAP algorithm. REAP integrates planning and acting by interleaving planning with execution. It modifies RAE by calling a version of SeRPE each time it needs to choose a method. This allows recovery from failures by replanning from the point of failure. An example is provided to illustrate REAP's refinement trees and ability to replan if an action like loading cargo fails midway through execution.
Chapter03a
1. The document discusses refinement methods for deliberation and acting in automated planning and acting. Refinement methods decompose tasks into subtasks using refinement stacks.
2. An example domain involving robots, containers, locations, and doors is used to illustrate refinement methods. Methods are provided for tasks like opening doors, fetching objects, and responding to emergencies.
3. The Refinement Acting Engine (RAE) uses refinement stacks to perform tasks and handle events in parallel by recursively refining tasks into subtasks using applicable refinement methods until commands can be issued to the execution platform.
MADTREEFLYERFINAL
The Claddagh Irish Pub in Mason, Ohio will be hosting a beer and music event on Friday August 30th from 4 pm until close. They will be featuring beers including Psychopathy, Happy Amber, and Pleasant Wheat. Live music will be performed by Roger DRawdy from 6:30 pm to 9:30 pm.
Chapter06
This document discusses probabilistic planning domains and solutions. It introduces the concept of actions having probabilistic outcomes in a probabilistic planning domain. Solutions to stochastic shortest path problems must be either safe, with a probability of 1 of reaching the goal, or unsafe, with a probability between 0 and 1. Both acyclic and cyclic safe policies are possible, while unsafe policies can get stuck in implicit or explicit dead ends with some non-zero probability of failing to reach the goal. Examples of different types of policies are provided to illustrate safe versus unsafe solutions.
Recommended
Internship Presentation On ACI Limited
The internship presentation summarizes Mustafa Rafid's internship at ACI Limited, a leading domestic company in Bangladesh. Rafid's responsibilities included maintaining communications, visiting markets, conducting consumer surveys, monitoring activation programs, and preparing reports. Through a consumer behavior analysis, Rafid found that while Savlon has a strong brand image, consumers prefer Lifebuoy and Dettol soap and hand wash products. The presentation recommends that Savlon improve promotions, establish strong communication channels, and conduct more market research.
Mas para que nós precisamos ter coragem...
O documento discute a importância da coragem para lidar com os desafios da vida, especialmente a depressão. A coragem verdadeira vem de Deus através da oração fervorosa, desenvolvendo uma relação próxima com Ele. Ao refletir no grande amor e sacrifício de Deus, os cristãos podem ter esperança e coragem para enfrentar qualquer coisa, sabendo que Ele cuida de cada um individualmente.
Chapter05
The document discusses planning with nondeterministic domain models. It introduces nondeterministic planning domains where actions may lead to multiple possible outcomes rather than a single outcome. This allows for more accurate modeling of uncertainty. The search space for nondeterministic planning is an AND/OR graph rather than a simple graph. Plans are represented as policies that map states to actions. Definitions are provided for reachable states, final states, and reachability graphs of policies. Two types of solutions are defined: one where a policy may lead to a goal state, and one where a policy safely leads to a goal from any reachable state.
Chapter03c
The document discusses refinement planning and the REAP algorithm. REAP integrates planning and acting by interleaving planning with execution. It modifies RAE by calling a version of SeRPE each time it needs to choose a method. This allows recovery from failures by replanning from the point of failure. An example is provided to illustrate REAP's refinement trees and ability to replan if an action like loading cargo fails midway through execution.
Chapter03a
1. The document discusses refinement methods for deliberation and acting in automated planning and acting. Refinement methods decompose tasks into subtasks using refinement stacks.
2. An example domain involving robots, containers, locations, and doors is used to illustrate refinement methods. Methods are provided for tasks like opening doors, fetching objects, and responding to emergencies.
3. The Refinement Acting Engine (RAE) uses refinement stacks to perform tasks and handle events in parallel by recursively refining tasks into subtasks using applicable refinement methods until commands can be issued to the execution platform.
MADTREEFLYERFINAL
The Claddagh Irish Pub in Mason, Ohio will be hosting a beer and music event on Friday August 30th from 4 pm until close. They will be featuring beers including Psychopathy, Happy Amber, and Pleasant Wheat. Live music will be performed by Roger DRawdy from 6:30 pm to 9:30 pm.
Chapter06
This document discusses probabilistic planning domains and solutions. It introduces the concept of actions having probabilistic outcomes in a probabilistic planning domain. Solutions to stochastic shortest path problems must be either safe, with a probability of 1 of reaching the goal, or unsafe, with a probability between 0 and 1. Both acyclic and cyclic safe policies are possible, while unsafe policies can get stuck in implicit or explicit dead ends with some non-zero probability of failing to reach the goal. Examples of different types of policies are provided to illustrate safe versus unsafe solutions.
Google - Investment Analysis & Mgmt 120213 10pm v4 final
The document provides an analysis of Google as of November 11, 2013. It includes a company profile which describes Google's business segments and venture capital activities. A business analysis covers Google's dominance in search and online video, as well as investments in R&D. A valuation section estimates Google's fair value per share at $992.77 based on a discounted cash flow model and industry WACC of 9.6%. Risks to the valuation are also considered.
Dnr corporation(1)
DNR Corporation is a manufacturer and supplier of automotive and industrial lubricants established in 1993. They produce oils for automotive, industrial, and metalworking applications, including engine oil, gear oil, cutting oil, and greases. The oils are formulated to have high oxidation stability and be environmentally friendly. The company has a team of professionals and supplies products nationally and internationally from its facility in Mumbai, India.
Chapter02b
The document discusses backward search planning and plan-space planning techniques. Backward search starts at the goal and works backwards to find a plan, and can have a lower branching factor than forward search. Plan-space planning formulates planning as a constraint satisfaction problem to produce partially ordered plans with more flexibility. It works by iteratively refining a partial plan to resolve flaws such as open goals or threats between causal links, until a solution plan with no flaws is found.
Chapter04
The document discusses temporal planning and modeling of actions over time. It introduces the concept of representing planning problems using a time-oriented view with timelines rather than a state-oriented view. A timeline consists of temporal assertions about state variables over time intervals along with constraints. Actions are modeled as triples containing a name, a set of temporal assertions describing the effects over time, and constraints. This allows overlapping actions and reasoning about how state variable values change over time to be represented.
Chapter02
This document discusses representing planning domains for automated planning and acting. It describes using a state-transition model with states, actions, and a prediction function to model deterministic environments. Planning domains are represented by describing states in terms of objects and properties, and actions in terms of preconditions and effects that change property values. A state-variable representation is introduced where varying properties are represented by state variables that can take on different values in different states. An example domain models robots, containers, and locations using state variables.
Chapter03b
This document discusses refinement planning and acting techniques. It introduces refinement methods as a way to recursively decompose tasks into subtasks and plans. Refinement methods are defined as triples containing a task or event name, preconditions, and a body of steps. The body can include assignments, commands to an execution platform, and recursive calls to other tasks. An example domain involving a robot fetching objects is used to illustrate state variables, refinement methods for tasks like searching and opening doors, and how a Refinement Acting Engine (RAE) can execute methods across parallel execution stacks to achieve goals.
Trabajo x mind
El documento proporciona información sobre la aplicación XMind, un software para crear mapas conceptuales. XMind permite organizar ideas a través de íconos, imágenes e hipervínculos y crear mapas conceptuales, mapas mentales, diagramas de Ishikawa, árboles lógicos y organigramas. El documento explica cómo descargar e instalar XMind, las acciones posibles como añadir conceptos y relaciones, y cómo exportar los mapas creados a diferentes formatos.
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Google - Investment Analysis & Mgmt 120213 10pm v4 final
The document provides an analysis of Google as of November 11, 2013. It includes a company profile which describes Google's business segments and venture capital activities. A business analysis covers Google's dominance in search and online video, as well as investments in R&D. A valuation section estimates Google's fair value per share at $992.77 based on a discounted cash flow model and industry WACC of 9.6%. Risks to the valuation are also considered.
Dnr corporation(1)
DNR Corporation is a manufacturer and supplier of automotive and industrial lubricants established in 1993. They produce oils for automotive, industrial, and metalworking applications, including engine oil, gear oil, cutting oil, and greases. The oils are formulated to have high oxidation stability and be environmentally friendly. The company has a team of professionals and supplies products nationally and internationally from its facility in Mumbai, India.
Chapter02b
The document discusses backward search planning and plan-space planning techniques. Backward search starts at the goal and works backwards to find a plan, and can have a lower branching factor than forward search. Plan-space planning formulates planning as a constraint satisfaction problem to produce partially ordered plans with more flexibility. It works by iteratively refining a partial plan to resolve flaws such as open goals or threats between causal links, until a solution plan with no flaws is found.
Chapter04
The document discusses temporal planning and modeling of actions over time. It introduces the concept of representing planning problems using a time-oriented view with timelines rather than a state-oriented view. A timeline consists of temporal assertions about state variables over time intervals along with constraints. Actions are modeled as triples containing a name, a set of temporal assertions describing the effects over time, and constraints. This allows overlapping actions and reasoning about how state variable values change over time to be represented.
Chapter02
This document discusses representing planning domains for automated planning and acting. It describes using a state-transition model with states, actions, and a prediction function to model deterministic environments. Planning domains are represented by describing states in terms of objects and properties, and actions in terms of preconditions and effects that change property values. A state-variable representation is introduced where varying properties are represented by state variables that can take on different values in different states. An example domain models robots, containers, and locations using state variables.
Chapter03b
This document discusses refinement planning and acting techniques. It introduces refinement methods as a way to recursively decompose tasks into subtasks and plans. Refinement methods are defined as triples containing a task or event name, preconditions, and a body of steps. The body can include assignments, commands to an execution platform, and recursive calls to other tasks. An example domain involving a robot fetching objects is used to illustrate state variables, refinement methods for tasks like searching and opening doors, and how a Refinement Acting Engine (RAE) can execute methods across parallel execution stacks to achieve goals.
Trabajo x mind
El documento proporciona información sobre la aplicación XMind, un software para crear mapas conceptuales. XMind permite organizar ideas a través de íconos, imágenes e hipervínculos y crear mapas conceptuales, mapas mentales, diagramas de Ishikawa, árboles lógicos y organigramas. El documento explica cómo descargar e instalar XMind, las acciones posibles como añadir conceptos y relaciones, y cómo exportar los mapas creados a diferentes formatos.
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Google - Investment Analysis & Mgmt 120213 10pm v4 final
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