diff --git a/README.md b/README.md index 83255dc..03ba48b 100644 --- a/README.md +++ b/README.md @@ -1 +1,209 @@ -# FIN4Sim \ No newline at end of file +# FIN4Sim +Welcome to the Finance4 simulation platform! + +1. Purpose + + In addition to being sustainable and scalable, the FIN4 system should also be resilient to unintended user behaviour. + We use simulations to improve the cryptoeconomic design towards system stability and to avoid dynamics that may result from + not fully accounting for the “human factor”. Our definition of an ideal stable system includes token creators with noble intent, + tokens invulnerable to manipulation and users using the tokens as intended. In contrast, bad situations can occur due to token + creators with malicious intent, tokens vulnerable to manipulation or users cheating. + +2. Constructs and Concepts + + In our agent-based approach, we have human agents which fulfill certain roles + (like token claimers or token creators) and token-type agents. + + Human agent: + + Attributes: + 1. Universal unique identifier (uuid) + 2. ID (sequential natural number) + 3. Token wallet + 4. Action count + 5. Claimer compliance + 6. Claimer intention + 7. Voter profile + 8. Token creator intention + 9. Token creator design + + Roles + Token claimer: + - Claimer compliance (compliant, opportunist, cheater) (*attribute 5) + - Claimer intention (noble, opportunistic, malicious) (*attribute 6) + + Token voter + - Assessment driven (objective) + - Gain driven (subjective) (*attribute 7) + + Token creator + - Intention (noble, opportunistic, malicious) (*attribute 8) + - Design (careful, careless) (*attribute 9) + + + Type of token (PAT = positive action token) agent: + + Attributes + 1. uuid + 2. ID + 3. Creator ID + 4. Action count + 5. Purpose + 6. Design + + + Human agent roles and attributes - Definitions: + + Claimer compliance - the attitude the individual (human agent) has with respect to the rules for obtaining a token for an action. + It can be compliant with the rules, opportunistic when given the chance or always a cheater. + + Claimer intention - the intent of the token that an agent looks for in order to obtain a token. Agents looking for nobel claimer + intention are the agents valuing the nobel action to obtain the specific token. Same for opportunistic and maliciously intended + claimers. + + Token wallet - the sum of tokens of a certain type that a human agent possesses (after claiming tokens). Reputation tokens are + included here as well. + + Assessment driven voter - voter who votes objectively, analysis the attributes of the token before voting for or against it becoming + an official token + + Gain driven voter - voter who votes subjective, analysing only how many tokens of that type he has in his token wallet and the + advantage he would acquire if the token becomes official or not + + Token creator intent - the intention that the creator has in mind for the created token. It can be nobel, opportunistic or malicious. + + Token creator design - the way the creator designs the proof mechanism of the token. It can be carefully done (there is no way people + can claim a token without doing the action) or careless (there is a way for people to claim the token without doing the action). + + Action - for every token claimed, one had to do the action the token requires. In general we refer to this as “positive action” but + it is not necessarily the case. + + Token agent attributes and concepts - Definitions: + + Token purpose - the general type of objective the token type is created for. The options in our simulations are currently: noble, + opportunistic and malicious. + + Token design - the way the token proof is established by the creator. Every time a token is claimed for an action, the claimer has + to prove that the action happened. The design of the proof mechanism can be careful (the token creator makes sure it is not easy to + claim a token without doing the action for it) or careless (it allows loopholes or ways of cheating in the claiming process). + + Token bootstrapping mechanism - the launching of the token system in a community with already existing token types, designed by + default and not by the human agents in the community. In our case, we think that a small number of noble, carefully designed token + types can have an influence on the overall token claiming just by setting an example. + + +3. Token creation by a human agent + + The token agent creation mechanism relies on the simulation timestep meaning that one can specify the timestep interval between two + token creations. + + The new token agents are created by the human agents. The ID of the human agent creator is selected randomly. Once the ID of the + creator is selected, the creator agent will transfer its token creator intention (which can be noble, opportunistic or malicious) + to the newly created token purpose attribute. Similarly, the token creator design attribute of the human agent is transferred to the + token design attribute of the token agent. + + What we want to model this way is the fact that, e.g. a noble person is very likely to create a token with a noble intent. Similarly, + someone who is used to creating carelessly designed tokens is more probable to continue doing so. + +4. Token claiming + + There are two important processes to consider in the modeling of token claiming by the human agents: + the purpose-intention alignment and the design alignment. + + Purpose-intention alignment + + The token type creator creates a token with a specific intent (nobel, opportunistic or malicious) and thansfers this attribute + to the token. The token claimer perceives the intention of the token type as noble, opportunistic or malicious. + + Design-compliance alignment + + *for more imformation see ... + + +5. cadCAD + + The FIN4 simulation code is open source and is based on time steps, using cadCAD, an open source tool for “complex adaptive dynamics + computer-aided design”. At every time step, key variables are updated through actions or policies. + + +6. Get started: + + - install python 3 (https://www.python.org/download/releases/3.0/) + - install cadCAD (https://cadcad.org/) + pip3 install cadCAD + for more information see https://github.com/BlockScience/cadCAD? + + - run the simulations and store the output in a separate file + python Fin4_ABM.py + + - run the simulation through the visualizasion module + python Data_analysis_ABM.py + + + +7. Structure of the main file Fin4_ABM.py + + + +5. The config.ini file + + Knowing how to modify the configuration file is very important! + +[general] +time_steps = 6 => total number of timesteps the simulation will execute +output_file_name = 'output.json' => name the output file. it will be created in the same folder as Fin4_ABM.py + + +[human agents] => human agents (one of the two types of agents) +#---------------------------------------OPTION 1 --------------------------- => one can chose to have a certain number of human agents with randomly distributed attibutes +agents_with_random_attributes = False => for this option to be active, make "agents_with_random_attributes" True and chose the number of the human agents by setting the value of "number" +number = 5 => DON'T FORGET to set "custom_agents" False at OPTION 2, otherwise the current settings at OPTION 1 will be overwritten +#---------------------------------------OPTION 2 --------------------------- => This option offers the possibility of defining one or more groups of human agents with specific attributes +custom_agents = True => if you only want custom defined human agents, make sure the "agents_with_random_attributes" is False +; if custom_agents = True, define the agents sets: +number_of_custom_agent_sets = 2 => one can choose as many sets of agents as one wants. what is important is to have as many sets below as numbers selected, othewise the simulation will crash +; the above number has to match the sets defined below: => having more sets than the number set will not crash the simulation + +; set 1 => all the attributes withing a set have the prefix of the set number: 'set1_'/'set2_' etc. +set1_number_of_agents = 5 => number of agents withing the set +set1_claim_intent = noble => the calimer intention can be 'noble', 'opportunistic' or 'malicious' +set1_claim_compliance = opportunistic => complaince of the claimers can be 'compliant', 'cheater' or 'opportunistic' +set1_voter_drive = assessment => the drive of agents when voting. can be 'assesment' or 'gain' +set1_creator_intent = noble => the purpose of the type of token being created by agents or the intention for which the agents create a type of token. can be 'noble', 'opportunistic' or 'malicious' +set1_creator_design = careless => the design of the proof mechanism of the token type being created by these agents. can be 'careful' or 'careless' + +; set 2 +set2_number_of_agents = 5 +set2_claim_intent = malicious +set2_claim_compliance = opportunistic +set2_voter_drive = assessment +set2_creator_intent = malicious +set2_creator_design = careless + + +[PAT agents] => means 'positive action token' and they are the types of tokens being either created by the human agents (OPTION 1) or chosen at the begining of the simulation (OPTION 2) +#---------------------------------------OPTION 1 --------------------------- => one can choose to have agents creating types of tokens AND have a few custom ones defined at the begining of the simulation +initial_PAT_agents = False => do you want to start the simulation with custom token types and then let human agents creat their own? True/False +number_initial_pats = 2 => how many token types do you want to start the simulation with? at the moment these PATs are 'noble' in purpose and 'careful' in design +;in times steps +frequency_PAT_creation = 3 => every 'frequency_PAT_creation' time steps a random human agent is chosen to creat a new token type passing on the creator intent and the creator design +#---------------------------------------OPTION 2 --------------------------- => in this case (if the previous option is False) this refers to predefining all the existent token types in the system +custom_bootstrapping = True +number_of_custom_PAT_sets = 2 => sets of predifined token types. having more sets defined here than actual atribute sets below will cause the simulation to crash +; the above number has to match the sets defined below: + +; set 1 => all the attributes withing a set have the prefix of the set number: 'set1_'/'set2_' etc. +set1_init_id = 0 => the ID of the first PAT created within this set. make sure you don't overwrite PATs with different attributes. +set1_number_of_PATs = 2 => how many PATs do you want with this set of attributes? +set1_token_purpose = noble => purpose of the PAT (inherited from the creator human agent) can be 'noble', 'opportunistic' or 'malicious' +set1_token_design = careful => proof design of the PAT (inherited from the creator human agent) can be 'careful' or 'careless' +;arbitrarily big number because for bootstrapping it doesn't matter +set1_creator_id = 10000 + +; set 2 +set2_init_id = 2 +set2_number_of_PATs = 3 +set2_token_purpose = malicious +set2_token_design = careful +;arbitrarily big number because for bootstrapping it doesn't matter +set2_creator_id = 10000 \ No newline at end of file diff --git a/README.txt b/README.txt deleted file mode 100644 index 114f780..0000000 --- a/README.txt +++ /dev/null @@ -1,208 +0,0 @@ -# FIN4Sim -Welcome to the Finance4 simulation platform! - -1. Purpose - - In addition to being sustainable and scalable, the FIN4 system should also be resilient to unintended user behaviour. - We use simulations to improve the cryptoeconomic design towards system stability and to avoid dynamics that may result from - not fully accounting for the “human factor”. Our definition of an ideal stable system includes token creators with noble intent, - tokens invulnerable to manipulation and users using the tokens as intended. In contrast, bad situations can occur due to token - creators with malicious intent, tokens vulnerable to manipulation or users cheating. - -2. Constructs and Concepts - - In our agent-based approach, we have human agents which fulfill certain roles - (like token claimers or token creators) and token-type agents. - - Human agent: - - Attributes: - 1. Universal unique identifier (uuid) - 2. ID (sequential natural number) - 3. Token wallet - 4. Action count - 5. Claimer compliance - 6. Claimer intention - 7. Voter profile - 8. Token creator intention - 9. Token creator design - - Roles - Token claimer: - - Claimer compliance (compliant, opportunist, cheater) (*attribute 5) - - Claimer intention (noble, opportunistic, malicious) (*attribute 6) - - Token voter - - Assessment driven (objective) - - Gain driven (subjective) (*attribute 7) - - Token creator - - Intention (noble, opportunistic, malicious) (*attribute 8) - - Design (careful, careless) (*attribute 9) - - - Type of token (PAT = positive action token) agent: - - Attributes - 1. uuid - 2. ID - 3. Creator ID - 4. Action count - 5. Purpose - 6. Design - - - Human agent roles and attributes - Definitions: - - Claimer compliance - the attitude the individual (human agent) has with respect to the rules for obtaining a token for an action. - It can be compliant with the rules, opportunistic when given the chance or always a cheater. - - Claimer intention - the intent of the token that an agent looks for in order to obtain a token. Agents looking for nobel claimer - intention are the agents valuing the nobel action to obtain the specific token. Same for opportunistic and maliciously intended - claimers. - - Token wallet - the sum of tokens of a certain type that a human agent possesses (after claiming tokens). Reputation tokens are - included here as well. - - Assessment driven voter - voter who votes objectively, analysis the attributes of the token before voting for or against it becoming - an official token - - Gain driven voter - voter who votes subjective, analysing only how many tokens of that type he has in his token wallet and the - advantage he would acquire if the token becomes official or not - - Token creator intent - the intention that the creator has in mind for the created token. It can be nobel, opportunistic or malicious. - - Token creator design - the way the creator designs the proof mechanism of the token. It can be carefully done (there is no way people - can claim a token without doing the action) or careless (there is a way for people to claim the token without doing the action). - - Action - for every token claimed, one had to do the action the token requires. In general we refer to this as “positive action” but - it is not necessarily the case. - - Token agent attributes and concepts - Definitions: - - Token purpose - the general type of objective the token type is created for. The options in our simulations are currently: noble, - opportunistic and malicious. - - Token design - the way the token proof is established by the creator. Every time a token is claimed for an action, the claimer has - to prove that the action happened. The design of the proof mechanism can be careful (the token creator makes sure it is not easy to - claim a token without doing the action for it) or careless (it allows loopholes or ways of cheating in the claiming process). - - Token bootstrapping mechanism - the launching of the token system in a community with already existing token types, designed by - default and not by the human agents in the community. In our case, we think that a small number of noble, carefully designed token - types can have an influence on the overall token claiming just by setting an example. - - -3. Token creation by a human agent - - The token agent creation mechanism relies on the simulation timestep meaning that one can specify the timestep interval between two - token creations. - - The new token agents are created by the human agents. The ID of the human agent creator is selected randomly. Once the ID of the - creator is selected, the creator agent will transfer its token creator intention (which can be noble, opportunistic or malicious) - to the newly created token purpose attribute. Similarly, the token creator design attribute of the human agent is transferred to the - token design attribute of the token agent. - - What we want to model this way is the fact that, e.g. a noble person is very likely to create a token with a noble intent. Similarly, - someone who is used to creating carelessly designed tokens is more probable to continue doing so. - -4. Token claiming - - There are two important processes to consider in the modeling of token claiming by the human agents: - the purpose-intention alignment and the design alignment. - - Purpose-intention alignment - - The token type creator creates a token with a specific intent (nobel, opportunistic or malicious) and thansfers this attribute - to the token. The token claimer perceives the intention of the token type as noble, opportunistic or malicious. - - Design-compliance alignment - - *for more imformation see ... - - -5. cadCAD - - The FIN4 simulation code is open source and is based on time steps, using cadCAD, an open source tool for “complex adaptive dynamics - computer-aided design”. At every time step, key variables are updated through actions or policies. - - -6. Get started: - - - install cadCAD (https://cadcad.org/) - pip3 install cadCAD - for more information see https://github.com/BlockScience/cadCAD? - - - run the simulations and store the output in a separate file - python Fin4_ABM.py - - - run the simulation through the visualizasion module - python - - - -7. Structure of the main file Fin4_ABM.py - - - -5. The config.ini file - - Knowing how to modify the configuration file is very important! - -[general] -time_steps = 6 => total number of timesteps the simulation will execute -output_file_name = 'output.json' => name the output file. it will be created in the same folder as Fin4_ABM.py - - -[human agents] => human agents (one of the two types of agents) -#---------------------------------------OPTION 1 --------------------------- => one can chose to have a certain number of human agents with randomly distributed attibutes -agents_with_random_attributes = False => for this option to be active, make "agents_with_random_attributes" True and chose the number of the human agents by setting the value of "number" -number = 5 => DON'T FORGET to set "custom_agents" False at OPTION 2, otherwise the current settings at OPTION 1 will be overwritten -#---------------------------------------OPTION 2 --------------------------- => This option offers the possibility of defining one or more groups of human agents with specific attributes -custom_agents = True => if you only want custom defined human agents, make sure the "agents_with_random_attributes" is False -; if custom_agents = True, define the agents sets: -number_of_custom_agent_sets = 2 => one can choose as many sets of agents as one wants. what is important is to have as many sets below as numbers selected, othewise the simulation will crash -; the above number has to match the sets defined below: => having more sets than the number set will not crash the simulation - -; set 1 => all the attributes withing a set have the prefix of the set number: 'set1_'/'set2_' etc. -set1_number_of_agents = 5 => number of agents withing the set -set1_claim_intent = noble => the calimer intention can be 'noble', 'opportunistic' or 'malicious' -set1_claim_compliance = opportunistic => complaince of the claimers can be 'compliant', 'cheater' or 'opportunistic' -set1_voter_drive = assessment => the drive of agents when voting. can be 'assesment' or 'gain' -set1_creator_intent = noble => the purpose of the type of token being created by agents or the intention for which the agents create a type of token. can be 'noble', 'opportunistic' or 'malicious' -set1_creator_design = careless => the design of the proof mechanism of the token type being created by these agents. can be 'careful' or 'careless' - -; set 2 -set2_number_of_agents = 5 -set2_claim_intent = malicious -set2_claim_compliance = opportunistic -set2_voter_drive = assessment -set2_creator_intent = malicious -set2_creator_design = careless - - -[PAT agents] => means 'positive action token' and they are the types of tokens being either created by the human agents (OPTION 1) or chosen at the begining of the simulation (OPTION 2) -#---------------------------------------OPTION 1 --------------------------- => one can choose to have agents creating types of tokens AND have a few custom ones defined at the begining of the simulation -initial_PAT_agents = False => do you want to start the simulation with custom token types and then let human agents creat their own? True/False -number_initial_pats = 2 => how many token types do you want to start the simulation with? at the moment these PATs are 'noble' in purpose and 'careful' in design -;in times steps -frequency_PAT_creation = 3 => every 'frequency_PAT_creation' time steps a random human agent is chosen to creat a new token type passing on the creator intent and the creator design -#---------------------------------------OPTION 2 --------------------------- => in this case (if the previous option is False) this refers to predefining all the existent token types in the system -custom_bootstrapping = True -number_of_custom_PAT_sets = 2 => sets of predifined token types. having more sets defined here than actual atribute sets below will cause the simulation to crash -; the above number has to match the sets defined below: - -; set 1 => all the attributes withing a set have the prefix of the set number: 'set1_'/'set2_' etc. -set1_init_id = 0 => the ID of the first PAT created within this set. make sure you don't overwrite PATs with different attributes. -set1_number_of_PATs = 2 => how many PATs do you want with this set of attributes? -set1_token_purpose = noble => purpose of the PAT (inherited from the creator human agent) can be 'noble', 'opportunistic' or 'malicious' -set1_token_design = careful => proof design of the PAT (inherited from the creator human agent) can be 'careful' or 'careless' -;arbitrarily big number because for bootstrapping it doesn't matter -set1_creator_id = 10000 - -; set 2 -set2_init_id = 2 -set2_number_of_PATs = 3 -set2_token_purpose = malicious -set2_token_design = careful -;arbitrarily big number because for bootstrapping it doesn't matter -set2_creator_id = 10000 \ No newline at end of file diff --git a/config.ini b/config.ini index 38c231a..40ec951 100644 --- a/config.ini +++ b/config.ini @@ -15,7 +15,7 @@ number_of_custom_agent_sets = 3 ; the above number has to match the sets defined below: ; set 1 -set1_number_of_agents = 5 +set1_number_of_agents = 1 set1_claim_intent = noble set1_claim_compliance = opportunistic set1_voter_drive = assessment @@ -31,7 +31,7 @@ set2_creator_intent = malicious set2_creator_design = careless ; set 3 -set3_number_of_agents = 5 +set3_number_of_agents = 4 set3_claim_intent = opportunistic set3_claim_compliance = opportunistic set3_voter_drive = assessment diff --git a/output.json b/output.json index 25fb13a..7ef3340 100644 --- a/output.json +++ b/output.json @@ -212,3 +212,9 @@ [{'agents': [{'uuid': UUID('e714baa0-07df-41fa-be47-c786008aa149'), 'type': 'A', 'name': 0, 'token_wallet': {'reputation': 0}, 'activity': 0, 'own_PATs': 0, 'claimer': 'opportunistic', 'claimer_PAT_intention': 'noble', 'voter': 'assessment', 'creator_intention': 'noble', 'creator_design': 'careless'}, {'uuid': UUID('00f6cfd5-a035-4841-b011-4d92ad54bcc4'), 'type': 'A', 'name': 1, 'token_wallet': {'reputation': 0}, 'activity': 0, 'own_PATs': 0, 'claimer': 'opportunistic', 'claimer_PAT_intention': 'noble', 'voter': 'assessment', 'creator_intention': 'noble', 'creator_design': 'careless'}, {'uuid': UUID('80c3bc25-31b5-4346-b32f-da105274fc22'), 'type': 'A', 'name': 2, 'token_wallet': {'reputation': 0}, 'activity': 0, 'own_PATs': 0, 'claimer': 'opportunistic', 'claimer_PAT_intention': 'noble', 'voter': 'assessment', 'creator_intention': 'noble', 'creator_design': 'careless'}, {'uuid': UUID('52547ac7-7058-484f-9abd-a868eb3bc4f4'), 'type': 'A', 'name': 3, 'token_wallet': {'reputation': 0}, 'activity': 0, 'own_PATs': 0, 'claimer': 'opportunistic', 'claimer_PAT_intention': 'noble', 'voter': 'assessment', 'creator_intention': 'noble', 'creator_design': 'careless'}, {'uuid': UUID('cc6fe349-9b71-4b5e-b3f1-c44fcd358c34'), 'type': 'A', 'name': 4, 'token_wallet': {'reputation': 0}, 'activity': 0, 'own_PATs': 0, 'claimer': 'opportunistic', 'claimer_PAT_intention': 'noble', 'voter': 'assessment', 'creator_intention': 'noble', 'creator_design': 'careless'}, {'uuid': UUID('74aa6711-c4b3-4d29-a819-d96679c79f95'), 'type': 'A', 'name': 5, 'token_wallet': {'reputation': 0}, 'activity': 0, 'own_PATs': 0, 'claimer': 'opportunistic', 'claimer_PAT_intention': 'malicious', 'voter': 'assessment', 'creator_intention': 'malicious', 'creator_design': 'careless'}, {'uuid': UUID('f3cf8100-69dd-4c0e-aa07-fd43c2470a92'), 'type': 'A', 'name': 6, 'token_wallet': {'reputation': 0}, 'activity': 0, 'own_PATs': 0, 'claimer': 'opportunistic', 'claimer_PAT_intention': 'malicious', 'voter': 'assessment', 'creator_intention': 'malicious', 'creator_design': 'careless'}, {'uuid': UUID('792a0fe8-966d-4375-b19c-327122b053eb'), 'type': 'A', 'name': 7, 'token_wallet': {'reputation': 0}, 'activity': 0, 'own_PATs': 0, 'claimer': 'opportunistic', 'claimer_PAT_intention': 'malicious', 'voter': 'assessment', 'creator_intention': 'malicious', 'creator_design': 'careless'}, {'uuid': UUID('54bc472f-9837-4207-aade-afce2ee090fa'), 'type': 'A', 'name': 8, 'token_wallet': {'reputation': 0}, 'activity': 0, 'own_PATs': 0, 'claimer': 'opportunistic', 'claimer_PAT_intention': 'malicious', 'voter': 'assessment', 'creator_intention': 'malicious', 'creator_design': 'careless'}, {'uuid': UUID('860bf1c5-b99c-4d77-ac53-ea704d28efd8'), 'type': 'A', 'name': 9, 'token_wallet': {'reputation': 0}, 'activity': 0, 'own_PATs': 0, 'claimer': 'opportunistic', 'claimer_PAT_intention': 'malicious', 'voter': 'assessment', 'creator_intention': 'malicious', 'creator_design': 'careless'}, {'uuid': UUID('afe69652-e3db-431d-b647-3d14b116ca68'), 'type': 'A', 'name': 10, 'token_wallet': {'reputation': 0}, 'activity': 0, 'own_PATs': 0, 'claimer': 'opportunistic', 'claimer_PAT_intention': 'opportunistic', 'voter': 'assessment', 'creator_intention': 'opportunistic', 'creator_design': 'careless'}, {'uuid': UUID('192e64a7-a5c2-46e2-9b70-9e2dfd42a8e6'), 'type': 'A', 'name': 11, 'token_wallet': {'reputation': 0}, 'activity': 0, 'own_PATs': 0, 'claimer': 'opportunistic', 'claimer_PAT_intention': 'opportunistic', 'voter': 'assessment', 'creator_intention': 'opportunistic', 'creator_design': 'careless'}, {'uuid': UUID('9c711a8a-c945-44eb-b6d7-8b67f888063c'), 'type': 'A', 'name': 12, 'token_wallet': {'reputation': 0}, 'activity': 0, 'own_PATs': 0, 'claimer': 'opportunistic', 'claimer_PAT_intention': 'opportunistic', 'voter': 'assessment', 'creator_intention': 'opportunistic', 'creator_design': 'careless'}, {'uuid': UUID('99993463-35c4-4225-96c5-524b17097436'), 'type': 'A', 'name': 13, 'token_wallet': {'reputation': 0}, 'activity': 0, 'own_PATs': 0, 'claimer': 'opportunistic', 'claimer_PAT_intention': 'opportunistic', 'voter': 'assessment', 'creator_intention': 'opportunistic', 'creator_design': 'careless'}, {'uuid': UUID('8a34b2cd-9589-40ef-be8a-bd172660d2c9'), 'type': 'A', 'name': 14, 'token_wallet': {'reputation': 0}, 'activity': 0, 'own_PATs': 0, 'claimer': 'opportunistic', 'claimer_PAT_intention': 'opportunistic', 'voter': 'assessment', 'creator_intention': 'opportunistic', 'creator_design': 'careless'}], 'PATs': [{'uuid': UUID('458121f3-1a4a-4ea2-ba53-19ddbbe91c68'), 'type': 'PAT', 'name': 0, 'creator_ID': 10000, 'purpose': 'noble', 'design': 'careful', 'activity': 0}, {'uuid': UUID('39ec8709-ec0e-4868-b262-e2c29f8473ca'), 'type': 'PAT', 'name': 1, 'creator_ID': 10000, 'purpose': 'noble', 'design': 'careful', 'activity': 0}, {'uuid': UUID('8280fc59-1089-4410-9e61-7c33fcd239f3'), 'type': 'PAT', 'name': 2, 'creator_ID': 10000, 'purpose': 'malicious', 'design': 'careful', 'activity': 0}, {'uuid': UUID('3292ebf8-28a0-4c99-bc18-32dddbd3eb44'), 'type': 'PAT', 'name': 3, 'creator_ID': 10000, 'purpose': 'malicious', 'design': 'careful', 'activity': 0}, {'uuid': UUID('d6fc08d1-1cf4-4ac3-b2f4-704cde7c796b'), 'type': 'PAT', 'name': 4, 'creator_ID': 10000, 'purpose': 'malicious', 'design': 'careful', 'activity': 0}], 'initial nr. of PATs': 2, 'list_of_OPATs': [], 'run': 1, 'substep': 0, 'timestep': 0}, {'agents': [{'uuid': 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