A machine's world model is a concept in machine learning that refers to the model of the world that machines build when they learn and understand tasks.This model can be a statistical model, a logical inference model, or some other form of model that describes and predicts events, states, and relationships.The human world model refers to human cognition and understanding of the world.The model of the human world is based on personal experience, knowledge and understanding, and can include knowledge and understanding of all aspects of nature, society, human behavior, etc.
Although there are similarities between the world model of machines and the world model of humans, there are also some differences between the two.The world model of machines is usually obtained by learning and statistical analysis of large amounts of data, while the world model of humans is formed by mental processes such as perception, thinking, and learning.In addition, the world model of machines is often modeled for specific tasks or fields, while the world model of humans is a more integrated and integrated knowledge structure.In addition, the world model of the machine can also be evaluated and adjusted by the world model of the human.Humans can provide feedback and guidance to help machines improve and correct errors or imperfections in their world models.This interactive nature helps machines continuously learn and improve their own world models.The human world model includes physical, mathematical, physical, psychological, ethical, management and other common sense:
11、Common sense of physics
Physical knowledge covers knowledge of matter, energy, mechanics, electromagnetism, optics and so on.It helps us understand the physical laws of nature, such as gravity, velocity, acceleration, etc.
2, mathematical common sense
Mathematical common sense involves knowledge of mathematics and logic.It helps us understand and apply mathematical concepts and methods such as algebra, geometry, statistics, and logical reasoning and problem solving.
3, physiological common sense
Physiological common sense includes knowledge of human body structure, organ function, metabolic process and so on.It helps us understand how the body works and how to stay healthy, such as the cardiovascular system, respiratory system, digestive system, etc.
4, psychological common sense
Psychological common sense includes knowledge of people's thoughts, emotions, behaviors and so on.It helps us understand human psychological processes and patterns of behavior, such as memory, emotions, and social interaction.
5, ethical common sense
Ethical common sense involves knowledge of ethics, values, ethical principles, etc.It helps us think and judge what is right and wrong, good and evil, and guides our actions and decisions.
6. Common sense of management
Management common sense covers knowledge of organization, leadership, decision making, etc.It helps us learn how to effectively organize and manage resources, such as human, material, financial, etc., to achieve individual or organizational goals.
This common sense forms part of the human world model, helps us to recognize and understand the laws of the world and provides guidance and basis for our thinking, decisions, and actions.In the world model of machines, common sense refers primarily to information that machines can process and understand through programs and algorithms.This common sense is largely based on machine learning and artificial intelligence techniques, which are learned and acquired through methods such as big data analysis, pattern recognition, and inference.The world model of the machine is not concerned with specific physical, mathematical, physical, psychological, ethical, management and other common sense, but with how to solve problems through algorithms and data.Compared to the world model of machines, the world model of humans is based on our experience, knowledge, and perception as humans.Human beings acquire physical, mathematical, physical, psychological, ethical, and managerial common sense through learning and observation, which is the basis of our lives and can vary according to different cultures, social backgrounds, and personal experiences.
For agents, the key to autonomy is to be able to generate fiction based on their own model of the world in order to make incomplete information interactions, space-time or non-space-time compensation, and autonomous decision-making.This fictional ability enables agents to reason, predict, and visualize possible situations and outcomes, thus better adapting and responding to complex real-world situations.
Whether it is a person or a machine, the model of the agent's world is its understanding and cognition of its surroundings.Through the perception and learning of the environment, agents constantly update and improve their own world model.This model encompasses the structure, laws, and relationships of the environment, as well as the way agents interact with the environment.Through fictional capabilities based on world models, agents are able to reason and fill gaps in information in the face of incomplete information in order to better interact and make decisions.For example, when an agent is faced with a missing conversation, it can extrapolate from existing information and the context of the conversation, complementing the missing parts of the conversation to make the communication more coherent and complete.Moreover, the fictional capabilities of agents can also play a role in space-time or non-space-time compensation.Space-time compensation refers to the ability of agents to predict and simulate scenarios and results under different time and space conditions through virtual simulation or inference.This allows agents to make more accurate decisions in the real world, not just about current perceptions and experiences.Non-spatial compensation means that agents can apply it to new situations and problems based on existing knowledge and experience.By applying existing knowledge and experience to fiction, agents can better adapt to new environments and challenges, enabling autonomous decision-making and action.
For agents, the key to autonomy is to be able to produce fiction.Fiction refers to the process of thinking and creating, imagining and creating things or plots, not reality.In the process of agents thinking and acting autonomously, it is very important to be able to produce fiction, because it means that individuals are creative and imaginative, able to explore and achieve their assumptions and goals without being constrained by reality.Fiction requires a certain amount of thinking and creativity on the part of the agent.Thinking ability refers to the ability of individuals to think rationally and think from different perspectives and levels to find ways and ideas to solve problems.Creativity is the ability of an agent to independently create new things or ideas to meet its own needs or achieve its own goals.The improvement of thinking ability and creativity requires agents to continuously learn and practice, and to accumulate experience and knowledge through the process of thinking and practice to improve their thinking and creativity.Fiction also requires an open mind and a broad perspective.An open mind means that agents are receptive to different perspectives and ideas and are willing to try new things and ways of thinking.Broad horizons refer to the ability of individuals to broaden their scope of thought and to draw inspiration and thought from different fields and disciplines.An open mind and a broad perspective allow the agent to observe and think more acutely, resulting in more fiction.
The key to autonomy is the ability to generate fiction, which means that agents are not just passive receptive and adaptable to reality, but are able to think and create proactively.By producing fiction, the agent can go beyond the shackles of reality, pursue his own assumptions and goals, and realize the self-worth of the agent.Therefore, it is very important to develop the ability to produce fiction, which can make the agent more autonomous and confident, with a more positive attitude and action.In addition, through fiction, agents can simulate and predict different situations, so that they can make autonomous decisions and actions under limited information and resources.Fiction offers more possibilities and options to enable agents to better adapt and cope with uncertainty and complexity.For example, agents can set their own goals through fiction, so as to reflect their ability to choose independently, and can invent different goals and decide their own course of action according to their needs and circumstances.
Human fiction is constructed by creating stories, imaginations, and expressions, which can be based on real experience or complete imagination, but it usually has a certain connection and reference to the real world.The illusion of a machine is simulated and generated by algorithms and computational models.Machine hallucinations are often based on learning and pattern recognition based on massive amounts of data, and they can generate seemingly real content, but they lack real emotions, awareness, and subjective experiences.Moreover, human fiction and machine hallucinations differ in purpose and use.Human fiction is usually expressed and conveyed through literature, film, art and other forms of emotion, perspective and meaning, it has cultural and social value.Machine hallucinations are often used in entertainment, gaming, virtual reality, and other fields to enhance user experience and interactivity.While both human fiction and machine hallucinations involve creation and simulation, there are clear differences in origin, principle, purpose, and experience.